Reproducibility Index

Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

Conference on Neural Information Processing Systems (NeurIPS) - 2024

Documentation Rate of Empirical Papers by Reproducibility Variable

Distribution of Empirical Papers by Number of Documented Variables

Website:

Venue	Year	Papers	Reproducibility Score Reproducibility Score based on Gundersen et al. (2025). See Methods for details.	Documentation Score Documentation Score is the average score over the seven reproducibility variables for empirical research papers. See Methods for details.	% Empirical Percentage of papers that are empirical research vs theoretical research.	% Industry Percentage of empirical research papers with at least one author from Industry.	Website
NeurIPS	2024	4035	0.69	4.65	93.63%	39.25%

Search Papers

	Pseudocode	Open Source Code	Open Datasets	Dataset Splits	Hardware Specification	Software Dependencies	Experiment Setup
$C^2M^3$: Cycle-Consistent Multi-Model Merging	✅	✅	✅	✅	✅	❌	✅	6
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation	❌	❌	✅	✅	✅	❌	✅	4
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$	✅	✅	✅	❌	✅	❌	✅	5
$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling	✅	❌	✅	❌	✅	❌	✅	4
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise	✅	✅	✅	❌	✅	❌	✅	5
$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions	❌	✅	✅	❌	✅	✅	✅	5
$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes	❌	✅	✅	✅	✅	❌	✅	5
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design	✅	✅	✅	❌	✅	❌	✅	5
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning	✅	✅	✅	❌	✅	❌	✅	5
$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation	✅	❌	✅	✅	✅	❌	✅	5
$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition	✅	✅	✅	❌	✅	❌	✅	5
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning	✅	✅	✅	❌	✅	❌	✅	5
2D-OOB: Attributing Data Contribution Through Joint Valuation Framework	❌	✅	✅	✅	✅	❌	✅	5
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution	✅	✅	✅	✅	✅	❌	✅	6
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability	❌	✅	✅	✅	✅	❌	✅	5
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction	❌	❌	✅	✅	✅	❌	✅	4
3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration	❌	✅	✅	✅	✅	❌	✅	5
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning	❌	✅	✅	❌	✅	❌	✅	4
3D Gaussian Splatting as Markov Chain Monte Carlo	❌	✅	✅	❌	❌	❌	✅	3
3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization	✅	✅	✅	✅	✅	❌	✅	6
3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection	✅	❌	✅	✅	✅	❌	✅	5
3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors	❌	✅	✅	❌	✅	❌	✅	4
4+3 Phases of Compute-Optimal Neural Scaling Laws	❌	✅	❌	❌	❌	❌	✅	2
4-bit Shampoo for Memory-Efficient Network Training	✅	✅	✅	❌	✅	✅	✅	6
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization	❌	❌	✅	❌	✅	❌	✅	3
4Diffusion: Multi-view Video Diffusion Model for 4D Generation	❌	✅	✅	❌	✅	❌	✅	4
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities	❌	✅	✅	✅	✅	❌	✅	5
4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models	❌	❌	❌	❌	✅	❌	✅	2
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings	✅	❌	✅	✅	✅	❌	✅	5
A Bayesian Approach to Data Point Selection	❌	✅	✅	✅	✅	❌	✅	5
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays	✅	❌	❌	❌	❌	❌	❌	1
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers	✅	❌	❌	❌	❌	❌	❌	1
A Canonicalization Perspective on Invariant and Equivariant Learning	✅	✅	✅	✅	✅	❌	✅	6
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization	❌	✅	✅	❌	✅	❌	✅	4
A Closer Look at AUROC and AUPRC under Class Imbalance	❌	✅	✅	✅	❌	❌	✅	4
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning	❌	✅	✅	✅	✅	❌	✅	5
A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem	❌	❌	❌	❌	❌	❌	❌	0
A Compositional Atlas for Algebraic Circuits	✅	❌	❌	❌	❌	❌	❌	1
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression	❌	✅	❌	❌	✅	❌	✅	3
A Concept-Based Explainability Framework for Large Multimodal Models	❌	✅	✅	✅	✅	✅	✅	6
A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration	❌	✅	✅	✅	✅	❌	✅	5
A Critical Evaluation of AI Feedback for Aligning Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health	✅	❌	❌	❌	✅	❌	✅	3
A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics	✅	✅	✅	❌	✅	❌	✅	5
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening	❌	✅	✅	✅	✅	❌	✅	5
A Foundation Model for Zero-shot Logical Query Reasoning	❌	✅	✅	✅	✅	❌	✅	5
A Framework for Bilevel Optimization on Riemannian Manifolds	✅	✅	✅	✅	✅	❌	✅	6
A Full-duplex Speech Dialogue Scheme Based On Large Language Model	❌	✅	✅	❌	✅	❌	✅	4
A Functional Extension of Semi-Structured Networks	❌	✅	✅	❌	✅	✅	✅	5
A General Protocol to Probe Large Vision Models for 3D Physical Understanding	❌	✅	✅	✅	❌	❌	✅	4
A Generative Model of Symmetry Transformations	✅	✅	✅	✅	✅	❌	✅	6
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding	❌	❌	✅	✅	✅	❌	✅	4
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization	✅	✅	✅	❌	❌	❌	✅	4
A Gradient Accumulation Method for Dense Retriever under Memory Constraint	❌	❌	✅	✅	✅	❌	✅	4
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy	✅	✅	✅	❌	❌	❌	✅	4
A Kernel Perspective on Distillation-based Collaborative Learning	✅	✅	✅	✅	✅	❌	✅	6
A Label is Worth A Thousand Images in Dataset Distillation	✅	✅	✅	❌	✅	❌	✅	5
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks	✅	❌	✅	❌	✅	❌	✅	4
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs	✅	✅	✅	❌	✅	❌	✅	5
A Metalearned Neural Circuit for Nonparametric Bayesian Inference	❌	✅	✅	✅	✅	❌	✅	5
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
A Modular Conditional Diffusion Framework for Image Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking	❌	✅	✅	❌	✅	❌	✅	4
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise	✅	❌	❌	❌	❌	❌	❌	1
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models	✅	❌	✅	✅	✅	❌	✅	5
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning	❌	❌	❌	❌	❌	❌	✅	1
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding	❌	✅	✅	❌	❌	❌	✅	3
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation	❌	✅	✅	✅	✅	❌	✅	5
A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration	✅	✅	✅	✅	✅	✅	✅	7
A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness	✅	✅	✅	✅	❌	❌	✅	5
A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention	✅	✅	❌	❌	❌	❌	✅	3
A Polar coordinate system represents syntax in large language models	❌	✅	✅	✅	✅	❌	✅	5
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints	✅	✅	✅	✅	❌	❌	✅	5
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning	✅	✅	✅	✅	✅	❌	✅	6
A Recipe for Charge Density Prediction	✅	✅	✅	✅	✅	✅	✅	7
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers	✅	❌	❌	❌	❌	❌	✅	2
A Siamese Transformer with Hierarchical Refinement for Lane Detection	❌	✅	✅	✅	✅	❌	✅	5
A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations	✅	✅	✅	❌	✅	❌	✅	5
A Simple Image Segmentation Framework via In-Context Examples	❌	✅	✅	✅	✅	❌	✅	5
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective	✅	❌	✅	✅	✅	✅	✅	6
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds	✅	❌	❌	❌	❌	❌	❌	1
A Simple and Optimal Approach for Universal Online Learning with Gradient Variations	✅	❌	❌	❌	❌	❌	❌	1
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences	❌	✅	✅	❌	✅	❌	✅	4
A Simple yet Universal Framework for Depth Completion	✅	✅	✅	✅	✅	❌	✅	6
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training	❌	✅	✅	✅	✅	❌	✅	5
A Sober Look at the Robustness of CLIPs to Spurious Features	❌	❌	✅	❌	✅	✅	✅	4
A Structure-Aware Framework for Learning Device Placements on Computation Graphs	✅	✅	✅	❌	✅	✅	✅	6
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation	❌	❌	✅	✅	✅	❌	✅	4
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm	✅	✅	✅	❌	✅	❌	✅	5
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis	✅	✅	✅	✅	✅	✅	✅	7
A Theoretical Perspective for Speculative Decoding Algorithm	✅	❌	✅	❌	✅	❌	✅	4
A Theoretical Understanding of Self-Correction through In-context Alignment	❌	✅	✅	❌	✅	❌	✅	4
A Theory of Optimistically Universal Online Learnability for General Concept Classes	✅	❌	❌	❌	❌	❌	❌	1
A Topology-aware Graph Coarsening Framework for Continual Graph Learning	✅	✅	✅	✅	✅	❌	✅	6
A Tractable Inference Perspective of Offline RL	✅	✅	✅	❌	❌	❌	✅	4
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits	✅	✅	❌	❌	❌	❌	✅	3
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks	✅	✅	✅	✅	✅	❌	✅	6
A Unified Framework for 3D Scene Understanding	❌	✅	✅	✅	✅	❌	✅	5
A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch	✅	❌	✅	❌	❌	❌	✅	3
A Unifying Normative Framework of Decision Confidence	❌	✅	✅	✅	❌	❌	✅	4
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems	✅	✅	✅	✅	❌	❌	✅	5
A Universal Growth Rate for Learning with Smooth Surrogate Losses	❌	❌	❌	❌	❌	❌	❌	0
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation	✅	❌	✅	❌	✅	❌	✅	4
A Walsh Hadamard Derived Linear Vector Symbolic Architecture	❌	✅	✅	✅	✅	❌	✅	5
A distributional simplicity bias in the learning dynamics of transformers	❌	✅	✅	❌	✅	❌	✅	4
A generalized neural tangent kernel for surrogate gradient learning	❌	✅	❌	❌	✅	❌	✅	3
A hierarchical decomposition for explaining ML performance discrepancies	✅	✅	✅	✅	✅	❌	✅	6
A probability contrastive learning framework for 3D molecular representation learning	✅	❌	✅	✅	✅	❌	✅	5
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness	✅	✅	✅	❌	✅	✅	✅	6
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization	✅	✅	✅	✅	✅	❌	✅	6
A scalable generative model for dynamical system reconstruction from neuroimaging data	✅	✅	✅	✅	✅	❌	✅	6
A teacher-teacher framework for clinical language representation learning	❌	❌	✅	✅	✅	❌	✅	4
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
A theoretical design of concept sets: improving the predictability of concept bottleneck models	❌	✅	✅	❌	✅	❌	✅	4
A two-scale Complexity Measure for Deep Learning Models	❌	❌	✅	❌	✅	❌	✅	3
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis	❌	❌	✅	❌	✅	❌	✅	3
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs	✅	✅	✅	❌	✅	✅	✅	6
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective	✅	✅	✅	❌	✅	✅	✅	6
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models	❌	✅	✅	❌	✅	✅	✅	5
ACFun: Abstract-Concrete Fusion Facial Stylization	❌	❌	❌	❌	✅	❌	✅	2
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate	✅	✅	✅	❌	✅	❌	✅	5
AED: Adaptable Error Detection for Few-shot Imitation Policy	❌	❌	❌	❌	✅	❌	✅	2
AGILE: A Novel Reinforcement Learning Framework of LLM Agents	✅	✅	✅	✅	✅	❌	✅	6
AHA: Human-Assisted Out-of-Distribution Generalization and Detection	✅	✅	✅	✅	✅	✅	✅	7
AID: Attention Interpolation of Text-to-Image Diffusion	✅	✅	✅	❌	✅	✅	✅	6
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation	✅	✅	✅	✅	✅	❌	✅	6
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models	✅	✅	❌	❌	✅	❌	✅	4
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers	❌	✅	✅	❌	✅	❌	✅	4
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback	✅	✅	✅	✅	✅	❌	✅	6
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
ANT: Adaptive Noise Schedule for Time Series Diffusion Models	✅	✅	✅	✅	❌	❌	✅	5
AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models	✅	❌	❌	✅	✅	✅	✅	5
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties	❌	✅	✅	✅	✅	❌	✅	5
ARC: A Generalist Graph Anomaly Detector with In-Context Learning	✅	✅	✅	❌	✅	✅	✅	6
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields	❌	✅	✅	✅	✅	❌	✅	5
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users	❌	✅	✅	❌	✅	❌	✅	4
AUC Maximization under Positive Distribution Shift	✅	❌	✅	✅	✅	❌	✅	5
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting	❌	❌	✅	✅	✅	❌	✅	4
AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis	❌	✅	✅	✅	✅	❌	✅	5
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation	❌	✅	✅	❌	✅	❌	✅	4
Abductive Reasoning in Logical Credal Networks	✅	✅	✅	❌	✅	✅	✅	6
Abrupt Learning in Transformers: A Case Study on Matrix Completion	❌	✅	❌	❌	✅	❌	✅	3
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences	✅	✅	✅	❌	✅	❌	✅	5
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation	✅	✅	✅	❌	✅	❌	✅	5
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification	❌	✅	✅	❌	✅	✅	✅	5
Accelerated Regularized Learning in Finite N-Person Games	✅	✅	❌	❌	✅	✅	✅	5
Accelerating Augmentation Invariance Pretraining	❌	❌	✅	✅	❌	❌	✅	3
Accelerating Blockwise Parallel Language Models with Draft Refinement	✅	❌	✅	❌	✅	❌	✅	4
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity	✅	❌	❌	❌	❌	❌	❌	1
Accelerating ERM for data-driven algorithm design using output-sensitive techniques	✅	❌	❌	❌	❌	❌	❌	1
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling	✅	✅	✅	✅	✅	❌	✅	6
Accelerating Matroid Optimization through Fast Imprecise Oracles	✅	❌	❌	❌	❌	❌	❌	1
Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play	✅	✅	❌	❌	❌	❌	✅	3
Accelerating Non-Maximum Suppression: A Graph Theory Perspective	✅	✅	✅	✅	✅	❌	✅	6
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight	❌	❌	✅	❌	❌	❌	✅	2
Accelerating Relative Entropy Coding with Space Partitioning	✅	✅	✅	❌	❌	❌	✅	4
Accelerating Transformers with Spectrum-Preserving Token Merging	✅	✅	✅	❌	✅	❌	✅	5
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values	✅	❌	❌	❌	✅	❌	✅	3
Accuracy is Not All You Need	❌	❌	✅	❌	❌	✅	✅	3
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation	❌	❌	✅	❌	✅	✅	✅	4
Achievable Fairness on Your Data With Utility Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Achievable distributional robustness when the robust risk is only partially identified	✅	❌	✅	❌	✅	❌	✅	4
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process	✅	❌	❌	❌	❌	❌	✅	2
Achieving Constant Regret in Linear Markov Decision Processes	✅	❌	❌	❌	❌	❌	✅	2
Achieving Domain-Independent Certified Robustness via Knowledge Continuity	✅	✅	✅	✅	✅	❌	✅	6
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization	✅	✅	❌	❌	✅	❌	✅	4
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes	✅	✅	✅	❌	✅	✅	✅	6
Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures	✅	❌	✅	❌	❌	❌	✅	3
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs	✅	✅	✅	❌	❌	❌	❌	3
Acoustic Volume Rendering for Neural Impulse Response Fields	❌	✅	✅	❌	✅	❌	✅	4
ActAnywhere: Subject-Aware Video Background Generation	❌	❌	✅	✅	✅	❌	✅	4
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation	✅	✅	✅	✅	✅	❌	✅	6
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets	✅	✅	✅	✅	✅	✅	✅	7
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Action Imitation in Common Action Space for Customized Action Image Synthesis	❌	✅	❌	❌	✅	❌	✅	3
Activating Self-Attention for Multi-Scene Absolute Pose Regression	❌	✅	✅	❌	✅	❌	✅	4
Activation Map Compression through Tensor Decomposition for Deep Learning	❌	✅	✅	✅	✅	✅	✅	6
Active Classification with Few Queries under Misspecification	✅	❌	❌	❌	❌	❌	❌	1
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes	✅	✅	✅	❌	❌	❌	✅	4
Active Learning of General Halfspaces: Label Queries vs Membership Queries	✅	❌	❌	❌	❌	❌	❌	1
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios	✅	✅	✅	❌	❌	❌	✅	4
Active Perception for Grasp Detection via Neural Graspness Field	❌	✅	✅	✅	✅	❌	✅	5
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference	✅	✅	✅	❌	✅	❌	✅	5
Active Set Ordering	✅	✅	✅	❌	✅	❌	✅	5
Active learning of neural population dynamics using two-photon holographic optogenetics	✅	❌	❌	✅	✅	❌	✅	4
Active preference learning for ordering items in- and out-of-sample	✅	✅	✅	✅	✅	❌	✅	6
Active, anytime-valid risk controlling prediction sets	❌	✅	✅	❌	✅	❌	✅	4
Ad Auctions for LLMs via Retrieval Augmented Generation	✅	✅	❌	❌	❌	❌	✅	3
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies	✅	❌	✅	❌	❌	❌	✅	3
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models	✅	✅	✅	❌	✅	❌	✅	5
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases	❌	✅	✅	✅	✅	❌	✅	5
AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps	✅	✅	✅	❌	✅	❌	✅	5
Adam with model exponential moving average is effective for nonconvex optimization	✅	❌	❌	❌	❌	❌	❌	1
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer	✅	❌	✅	✅	✅	❌	✅	5
Adaptable Logical Control for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis	❌	✅	✅	✅	✅	❌	✅	5
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models	❌	❌	❌	❌	❌	❌	✅	1
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
Adaptive Depth Networks with Skippable Sub-Paths	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Domain Learning for Cross-domain Image Denoising	✅	❌	✅	✅	❌	❌	✅	4
Adaptive Experimentation When You Can't Experiment	✅	❌	❌	❌	❌	❌	✅	2
Adaptive Exploration for Data-Efficient General Value Function Evaluations	✅	✅	❌	❌	❌	❌	✅	3
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare	❌	✅	✅	✅	✅	❌	✅	5
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation	✅	✅	✅	✅	❌	❌	✅	5
Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment	❌	✅	✅	❌	✅	❌	✅	4
Adaptive Passive-Aggressive Framework for Online Regression with Side Information	✅	✅	❌	❌	✅	❌	✅	4
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback	✅	❌	✅	✅	✅	❌	✅	5
Adaptive Proximal Gradient Method for Convex Optimization	✅	✅	❌	❌	❌	❌	✅	3
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences	❌	✅	✅	❌	✅	❌	✅	4
Adaptive Sampling for Efficient Softmax Approximation	✅	✅	✅	❌	❌	❌	✅	4
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions	✅	❌	✅	❌	✅	❌	✅	4
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation	❌	✅	✅	✅	✅	❌	✅	5
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization	✅	✅	❌	❌	❌	❌	✅	3
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection	❌	❌	✅	✅	✅	❌	✅	4
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation	❌	✅	✅	✅	✅	✅	✅	6
Addressing Bias in Online Selection with Limited Budget of Comparisons	✅	✅	❌	❌	❌	❌	✅	3
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation	✅	❌	✅	✅	✅	❌	✅	5
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment	✅	✅	✅	✅	✅	✅	✅	7
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning	❌	✅	✅	✅	✅	❌	✅	5
AdjointDEIS: Efficient Gradients for Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence	❌	✅	✅	❌	✅	❌	✅	4
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks	✅	✅	✅	❌	✅	❌	✅	5
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation	❌	✅	✅	✅	✅	❌	✅	5
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler	✅	✅	✅	✅	✅	✅	✅	7
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators	❌	✅	✅	✅	✅	❌	✅	5
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees	❌	❌	✅	✅	✅	❌	✅	4
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation	✅	✅	✅	✅	✅	❌	✅	6
Advection Augmented Convolutional Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Adversarial Environment Design via Regret-Guided Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Adversarial Moment-Matching Distillation of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Adversarial Schrödinger Bridge Matching	✅	✅	✅	❌	✅	❌	✅	5
Adversarially Robust Decision Transformer	✅	✅	✅	❌	✅	❌	✅	5
Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters	✅	✅	✅	❌	✅	❌	✅	5
Adversarially Robust Multi-task Representation Learning	✅	❌	❌	❌	❌	❌	❌	1
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Agent Planning with World Knowledge Model	❌	✅	✅	✅	✅	❌	✅	5
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases	✅	✅	✅	✅	❌	❌	✅	5
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP	❌	❌	✅	❌	✅	❌	✅	3
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction	✅	✅	✅	❌	✅	✅	❌	5
AirSketch: Generative Motion to Sketch	❌	✅	✅	❌	✅	❌	✅	4
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data	✅	✅	✅	❌	✅	❌	✅	5
Algebraic Positional Encodings	✅	✅	✅	✅	❌	❌	✅	5
Algorithmic Capabilities of Random Transformers	❌	✅	✅	✅	✅	❌	✅	5
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists	✅	✅	✅	✅	✅	❌	✅	6
Algorithmic progress in language models	❌	✅	✅	✅	❌	❌	✅	4
Alias-Free Mamba Neural Operator	✅	✅	✅	✅	✅	❌	✅	6
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers	❌	❌	✅	✅	❌	❌	✅	3
Aligner: Efficient Alignment by Learning to Correct	✅	✅	✅	❌	✅	❌	✅	5
Aligning Audio-Visual Joint Representations with an Agentic Workflow	✅	✅	✅	✅	❌	❌	✅	5
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control	❌	✅	✅	❌	✅	❌	✅	4
Aligning Diffusion Models by Optimizing Human Utility	❌	✅	✅	❌	✅	❌	✅	4
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem	✅	✅	❌	❌	❌	❌	✅	3
Aligning Individual and Collective Objectives in Multi-Agent Cooperation	✅	❌	✅	❌	✅	❌	✅	4
Aligning LLM Agents by Learning Latent Preference from User Edits	✅	✅	✅	❌	❌	❌	✅	4
Aligning Large Language Models with Representation Editing: A Control Perspective	❌	✅	✅	✅	✅	✅	✅	6
Aligning Model Properties via Conformal Risk Control	✅	❌	✅	✅	❌	❌	✅	4
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization	✅	✅	✅	❌	✅	❌	✅	5
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms	❌	❌	✅	❌	✅	❌	✅	3
Aligning to Thousands of Preferences via System Message Generalization	❌	✅	✅	❌	✅	❌	✅	4
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs	❌	✅	✅	❌	❌	❌	✅	3
Alignment for Honesty	❌	✅	✅	❌	✅	❌	✅	4
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation	✅	✅	✅	✅	✅	❌	✅	6
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering	✅	✅	✅	❌	✅	❌	✅	5
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization	❌	✅	✅	✅	✅	❌	✅	5
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization	✅	✅	✅	✅	✅	❌	✅	6
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits	✅	❌	❌	❌	❌	❌	✅	2
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits	✅	✅	❌	❌	✅	✅	✅	5
Almost Surely Asymptotically Constant Graph Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction	❌	✅	✅	❌	❌	❌	✅	3
AlphaMath Almost Zero: Process Supervision without Process	✅	✅	✅	❌	✅	✅	✅	6
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos	❌	❌	✅	✅	✅	❌	✅	4
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking	✅	❌	✅	✅	✅	❌	✅	5
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection	❌	✅	✅	✅	✅	❌	✅	5
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment	❌	✅	✅	✅	✅	❌	✅	5
Amortized Active Causal Induction with Deep Reinforcement Learning	❌	❌	✅	❌	✅	❌	✅	3
Amortized Bayesian Experimental Design for Decision-Making	✅	✅	✅	❌	✅	✅	✅	6
Amortized Eigendecomposition for Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Amortized Fourier Neural Operators	❌	✅	✅	❌	✅	❌	✅	4
Amortized Planning with Large-Scale Transformers: A Case Study on Chess	❌	✅	✅	❌	✅	❌	✅	4
Amortizing intractable inference in diffusion models for vision, language, and control	❌	✅	✅	❌	✅	❌	✅	4
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness	✅	✅	✅	❌	✅	❌	✅	5
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization	✅	✅	✅	✅	✅	✅	✅	7
An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints	✅	✅	❌	❌	❌	❌	✅	3
An Analysis of Elo Rating Systems via Markov Chains	✅	✅	❌	❌	❌	❌	✅	3
An Analysis of Tokenization: Transformers under Markov Data	✅	✅	✅	❌	✅	❌	✅	5
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning	❌	❌	❌	❌	❌	❌	❌	0
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling	✅	✅	✅	✅	✅	✅	✅	7
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations	❌	✅	❌	❌	✅	❌	✅	3
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning	❌	✅	✅	❌	✅	❌	✅	4
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding	✅	✅	✅	❌	✅	❌	✅	5
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval	❌	✅	✅	❌	✅	❌	✅	4
An Equivalence Between Static and Dynamic Regret Minimization	✅	❌	❌	❌	❌	❌	❌	1
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations	✅	✅	✅	❌	❌	❌	✅	4
An Image is Worth 32 Tokens for Reconstruction and Generation	❌	✅	✅	✅	✅	❌	✅	5
An Improved Empirical Fisher Approximation for Natural Gradient Descent	✅	❌	✅	✅	✅	❌	✅	5
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models	❌	❌	✅	✅	✅	❌	✅	4
An Information Theoretic Perspective on Conformal Prediction	✅	✅	✅	✅	❌	❌	✅	5
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
An effective framework for estimating individualized treatment rules	✅	✅	✅	✅	✅	❌	✅	6
An engine not a camera: Measuring performative power of online search	❌	✅	❌	❌	❌	❌	✅	2
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem	❌	✅	✅	❌	✅	❌	✅	4
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching	❌	✅	✅	❌	✅	❌	✅	4
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting	❌	❌	✅	✅	❌	❌	✅	3
Analysing the Generalisation and Reliability of Steering Vectors	❌	✅	✅	✅	✅	❌	✅	5
Analysis of Corrected Graph Convolutions	❌	✅	✅	❌	❌	❌	✅	3
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions	❌	✅	❌	❌	❌	❌	✅	2
Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training	✅	❌	✅	❌	✅	❌	✅	4
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding	❌	✅	✅	❌	✅	✅	✅	5
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing	❌	✅	✅	✅	✅	❌	✅	5
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization	❌	❌	✅	✅	✅	❌	✅	4
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss	❌	✅	✅	✅	✅	❌	✅	5
Any2Policy: Learning Visuomotor Policy with Any-Modality	❌	✅	✅	✅	✅	❌	✅	5
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario	✅	❌	✅	✅	✅	❌	✅	5
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans	❌	✅	✅	❌	❌	❌	✅	3
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models	❌	✅	✅	❌	❌	❌	✅	3
Approaching Human-Level Forecasting with Language Models	❌	✅	✅	✅	❌	✅	✅	5
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient	✅	❌	✅	❌	❌	❌	✅	3
Approximately Equivariant Neural Processes	✅	✅	✅	✅	✅	❌	✅	6
Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering	✅	✅	✅	❌	✅	✅	✅	6
Approximating mutual information of high-dimensional variables using learned representations	✅	✅	✅	✅	✅	❌	✅	6
Approximating the Top Eigenvector in Random Order Streams	✅	❌	❌	❌	❌	❌	❌	1
Approximation Rate of the Transformer Architecture for Sequence Modeling	❌	❌	✅	✅	❌	❌	✅	3
Approximation-Aware Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting	❌	✅	✅	❌	✅	✅	✅	5
Are Graph Neural Networks Optimal Approximation Algorithms?	✅	✅	✅	✅	✅	❌	✅	6
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?	❌	✅	✅	✅	✅	❌	❌	4
Are Language Models Actually Useful for Time Series Forecasting?	❌	✅	✅	✅	✅	❌	✅	5
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?	❌	✅	✅	❌	✅	❌	✅	4
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems	✅	❌	✅	❌	❌	❌	✅	3
Are Multiple Instance Learning Algorithms Learnable for Instances?	❌	✅	✅	❌	✅	❌	✅	4
Are Self-Attentions Effective for Time Series Forecasting?	❌	✅	✅	✅	✅	❌	✅	5
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?	❌	✅	✅	✅	✅	❌	✅	5
Are We on the Right Way for Evaluating Large Vision-Language Models?	❌	✅	✅	❌	✅	❌	✅	4
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections	✅	✅	✅	✅	✅	✅	✅	7
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology	❌	✅	✅	✅	✅	❌	✅	5
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction	❌	✅	✅	❌	✅	✅	✅	5
Artemis: Towards Referential Understanding in Complex Videos	❌	✅	✅	✅	✅	❌	✅	5
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis	❌	✅	✅	✅	✅	❌	✅	5
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning	✅	✅	❌	❌	✅	❌	✅	4
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation	❌	❌	✅	✅	✅	❌	✅	4
Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models	✅	✅	✅	❌	✅	❌	✅	5
Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval	✅	❌	✅	❌	✅	❌	✅	4
Association Pattern-aware Fusion for Biological Entity Relationship Prediction	❌	✅	✅	✅	✅	❌	✅	5
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation	✅	✅	✅	❌	✅	❌	✅	5
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability	✅	❌	❌	❌	❌	❌	❌	1
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families	❌	✅	✅	❌	✅	❌	✅	4
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising	❌	✅	✅	✅	✅	❌	✅	5
Asynchronous Perception Machine for Efficient Test Time Training	✅	✅	✅	❌	✅	✅	✅	6
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication	❌	❌	✅	❌	✅	❌	✅	3
Attack-Aware Noise Calibration for Differential Privacy	✅	✅	✅	✅	✅	❌	✅	6
Attack-Resilient Image Watermarking Using Stable Diffusion	✅	✅	✅	❌	✅	❌	✅	5
Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning	❌	✅	✅	✅	❌	❌	✅	4
Attention boosted Individualized Regression	✅	✅	✅	✅	✅	❌	✅	6
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation	❌	✅	✅	❌	✅	✅	✅	5
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective	❌	✅	✅	❌	✅	❌	✅	4
Auditing Local Explanations is Hard	✅	❌	❌	❌	❌	❌	❌	1
Auditing Privacy Mechanisms via Label Inference Attacks	❌	✅	✅	❌	✅	❌	✅	4
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents	✅	❌	✅	❌	❌	✅	✅	4
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning	✅	✅	✅	✅	❌	❌	✅	5
AutoMix: Automatically Mixing Language Models	✅	✅	✅	✅	❌	❌	✅	5
AutoPSV: Automated Process-Supervised Verifier	❌	✅	✅	❌	✅	❌	✅	4
AutoSurvey: Large Language Models Can Automatically Write Surveys	✅	✅	✅	❌	❌	✅	✅	5
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency	❌	❌	❌	❌	❌	❌	❌	0
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency	✅	✅	✅	✅	❌	❌	✅	5
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions	✅	✅	✅	✅	✅	❌	✅	6
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs	✅	✅	✅	❌	✅	❌	✅	5
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records	✅	✅	✅	✅	✅	❌	✅	6
Automated Multi-level Preference for MLLMs	✅	✅	✅	❌	✅	❌	✅	5
Automatic Outlier Rectification via Optimal Transport	✅	❌	✅	✅	✅	❌	✅	5
Automatically Learning Hybrid Digital Twins of Dynamical Systems	✅	✅	✅	✅	✅	✅	✅	7
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions	✅	✅	✅	❌	✅	❌	✅	5
Autonomous Agents for Collaborative Task under Information Asymmetry	❌	✅	✅	❌	❌	✅	✅	4
Autonomous Driving with Spiking Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI	✅	✅	✅	✅	✅	❌	✅	6
Autoregressive Image Generation without Vector Quantization	✅	✅	✅	❌	✅	❌	✅	5
Autoregressive Policy Optimization for Constrained Allocation Tasks	✅	✅	✅	❌	✅	❌	✅	5
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning	❌	✅	✅	✅	✅	✅	✅	6
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations	❌	✅	✅	✅	✅	❌	✅	5
Average gradient outer product as a mechanism for deep neural collapse	✅	✅	✅	❌	✅	❌	✅	5
Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments	✅	✅	✅	❌	✅	❌	✅	5
Axioms for AI Alignment from Human Feedback	❌	❌	❌	❌	❌	❌	❌	0
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory	✅	❌	✅	❌	✅	❌	✅	4
B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data	✅	✅	✅	❌	✅	❌	✅	5
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable	❌	✅	✅	✅	✅	❌	✅	5
BAKU: An Efficient Transformer for Multi-Task Policy Learning	❌	✅	✅	❌	✅	✅	✅	5
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts	❌	❌	✅	❌	❌	❌	✅	2
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise	❌	✅	✅	✅	✅	❌	✅	5
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
BERTs are Generative In-Context Learners	❌	✅	✅	✅	❌	✅	✅	5
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference	✅	✅	✅	✅	✅	✅	✅	7
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
BMRS: Bayesian Model Reduction for Structured Pruning	✅	✅	✅	✅	✅	❌	✅	6
BOLD: Boolean Logic Deep Learning	✅	✅	✅	✅	✅	❌	✅	6
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning	❌	✅	✅	❌	✅	❌	✅	4
Back to the Continuous Attractor	❌	✅	❌	❌	❌	✅	✅	3
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting	✅	✅	✅	✅	❌	❌	✅	5
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment	❌	✅	✅	❌	✅	❌	✅	4
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale	❌	✅	✅	❌	✅	❌	✅	4
Banded Square Root Matrix Factorization for Differentially Private Model Training	✅	✅	✅	✅	✅	❌	✅	6
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs	✅	❌	❌	❌	❌	❌	❌	1
Bandits with Abstention under Expert Advice	✅	✅	✅	❌	✅	❌	❌	4
Bandits with Preference Feedback: A Stackelberg Game Perspective	✅	✅	✅	❌	❌	❌	✅	4
Bandits with Ranking Feedback	✅	✅	❌	❌	✅	❌	✅	4
Barely Random Algorithms and Collective Metrical Task Systems	✅	❌	❌	❌	❌	❌	❌	1
Base of RoPE Bounds Context Length	✅	❌	✅	❌	✅	❌	✅	4
Batched Energy-Entropy acquisition for Bayesian Optimization	✅	✅	✅	❌	✅	✅	✅	6
Bayes-optimal learning of an extensive-width neural network from quadratically many samples	✅	✅	❌	❌	❌	❌	✅	3
Bayesian Adaptive Calibration and Optimal Design	✅	✅	❌	❌	❌	❌	✅	3
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing	✅	✅	✅	❌	✅	❌	✅	5
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization	✅	✅	✅	✅	✅	❌	✅	6
Bayesian Online Natural Gradient (BONG)	✅	✅	✅	❌	❌	❌	✅	4
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal	✅	✅	✅	❌	✅	❌	✅	5
Bayesian Optimization of Functions over Node Subsets in Graphs	✅	✅	✅	✅	✅	❌	✅	6
Bayesian Strategic Classification	✅	❌	❌	❌	❌	❌	❌	1
Bayesian-guided Label Mapping for Visual Reprogramming	✅	✅	✅	✅	✅	❌	✅	6
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs	❌	✅	✅	✅	❌	❌	✅	4
Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback	✅	❌	❌	❌	❌	❌	❌	1
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction	❌	❌	✅	✅	✅	❌	✅	4
Belief-State Query Policies for User-Aligned POMDPs	✅	✅	❌	❌	✅	❌	✅	4
BendVLM: Test-Time Debiasing of Vision-Language Embeddings	❌	✅	✅	✅	✅	✅	✅	6
Benign overfitting in leaky ReLU networks with moderate input dimension	❌	✅	❌	✅	✅	❌	✅	4
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data	❌	✅	✅	✅	✅	❌	✅	5
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation	✅	❌	✅	❌	✅	❌	✅	4
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation	❌	✅	✅	❌	✅	❌	✅	4
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales	❌	✅	✅	✅	✅	❌	✅	5
Beyond Accuracy: Tracking more like Human via Visual Search	❌	✅	✅	❌	✅	❌	✅	4
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?	✅	✅	✅	✅	✅	✅	✅	7
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization	✅	✅	✅	✅	✅	✅	✅	7
Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection	❌	❌	✅	❌	✅	✅	✅	4
Beyond Optimism: Exploration With Partially Observable Rewards	✅	✅	✅	❌	✅	❌	✅	5
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints	✅	❌	❌	❌	❌	❌	❌	1
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning	✅	✅	✅	✅	✅	✅	✅	7
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators	✅	✅	✅	✅	✅	❌	✅	6
Beyond Slow Signs in High-fidelity Model Extraction	❌	✅	✅	❌	✅	❌	✅	4
Beyond task diversity: provable representation transfer for sequential multitask linear bandits	✅	✅	❌	❌	❌	❌	✅	3
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects	❌	✅	✅	✅	✅	❌	✅	5
BiDM: Pushing the Limit of Quantization for Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens	❌	✅	✅	✅	❌	❌	✅	4
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective	❌	✅	✅	❌	❌	❌	✅	3
Bias Detection via Signaling	✅	❌	❌	❌	❌	❌	❌	1
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training	❌	✅	✅	❌	❌	❌	✅	3
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding	❌	✅	✅	✅	✅	❌	✅	5
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control	✅	✅	✅	❌	✅	❌	✅	5
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature	✅	✅	✅	❌	✅	❌	✅	5
Binarized Diffusion Model for Image Super-Resolution	❌	✅	✅	❌	✅	❌	✅	4
Binary Search with Distributional Predictions	❌	✅	✅	✅	✅	❌	✅	5
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps	❌	✅	✅	❌	❌	❌	✅	3
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis	❌	✅	✅	✅	✅	❌	✅	5
Biologically Inspired Learning Model for Instructed Vision	✅	✅	✅	❌	✅	❌	✅	5
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently	✅	✅	❌	❌	❌	❌	✅	3
BitDelta: Your Fine-Tune May Only Be Worth One Bit	❌	✅	✅	❌	✅	❌	✅	4
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model	✅	✅	✅	✅	✅	❌	✅	6
Black-Box Forgetting	❌	✅	✅	✅	✅	❌	✅	5
Blind Image Restoration via Fast Diffusion Inversion	✅	✅	✅	✅	✅	❌	✅	6
Block Sparse Bayesian Learning: A Diversified Scheme	✅	✅	✅	❌	❌	❌	✅	4
Block Transformer: Global-to-Local Language Modeling for Fast Inference	❌	✅	✅	❌	✅	❌	✅	4
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling	❌	✅	✅	❌	✅	❌	✅	4
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping	❌	✅	✅	✅	✅	❌	✅	5
Boosted Conformal Prediction Intervals	✅	✅	✅	✅	✅	❌	✅	6
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models	❌	✅	✅	✅	✅	❌	✅	5
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning	✅	✅	❌	✅	✅	❌	✅	5
Boosting Graph Pooling with Persistent Homology	❌	✅	✅	✅	✅	❌	✅	5
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance	❌	❌	✅	❌	✅	❌	✅	3
Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing	❌	❌	✅	❌	✅	❌	✅	3
Boosting Text-to-Video Generative Model with MLLMs Feedback	✅	❌	✅	❌	✅	❌	✅	4
Boosting Transferability and Discriminability for Time Series Domain Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Boosting Vision-Language Models with Transduction	✅	✅	✅	✅	✅	❌	✅	6
Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension	❌	❌	✅	✅	✅	❌	✅	4
Boosting the Potential of Large Language Models with an Intelligent Information Assistant	❌	✅	✅	✅	✅	❌	✅	5
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning	✅	✅	✅	❌	❌	❌	✅	4
Bootstrapping Top-down Information for Self-modulating Slot Attention	✅	❌	✅	✅	✅	❌	✅	5
Boundary Decomposition for Nadir Objective Vector Estimation	✅	✅	✅	❌	✅	❌	✅	5
Boundary Matters: A Bi-Level Active Finetuning Method	✅	✅	✅	✅	✅	❌	✅	6
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension	❌	❌	❌	❌	❌	❌	❌	0
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking	❌	✅	✅	✅	✅	❌	✅	5
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?	❌	✅	✅	❌	✅	❌	✅	4
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model	✅	✅	✅	✅	✅	❌	✅	6
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts	✅	✅	✅	✅	❌	❌	✅	5
Breaking Semantic Artifacts for Generalized AI-generated Image Detection	❌	✅	✅	✅	✅	❌	✅	5
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack	✅	✅	✅	✅	✅	✅	✅	7
Breaking the curse of dimensionality in structured density estimation	❌	❌	✅	❌	❌	❌	❌	1
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO	✅	✅	✅	❌	❌	❌	✅	4
Bridge the Modality and Capability Gaps in Vision-Language Model Selection	✅	✅	✅	❌	❌	❌	✅	4
Bridge the Points: Graph-based Few-shot Segment Anything Semantically	✅	✅	✅	✅	✅	❌	✅	6
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges	✅	✅	✅	✅	✅	❌	✅	6
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views	✅	✅	✅	❌	✅	❌	✅	5
Bridging Geometric States via Geometric Diffusion Bridge	✅	❌	✅	✅	✅	❌	✅	5
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift	✅	✅	✅	✅	✅	❌	✅	6
Bridging OOD Detection and Generalization: A Graph-Theoretic View	❌	✅	✅	✅	✅	❌	✅	5
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation	❌	✅	✅	❌	✅	❌	✅	4
Bridging semantics and pragmatics in information-theoretic emergent communication	❌	✅	✅	❌	✅	❌	✅	4
Bridging the Divide: Reconsidering Softmax and Linear Attention	❌	✅	✅	✅	✅	❌	✅	5
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Building a stable classifier with the inflated argmax	❌	✅	✅	❌	❌	❌	✅	3
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers	❌	✅	✅	✅	✅	❌	✅	5
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences	✅	✅	✅	❌	❌	❌	✅	4
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory	✅	✅	✅	❌	✅	❌	✅	5
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing	❌	✅	✅	✅	✅	❌	✅	5
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition	❌	✅	✅	❌	✅	❌	✅	4
CALVIN: Improved Contextual Video Captioning via Instruction Tuning	❌	❌	✅	✅	✅	❌	✅	4
CAT3D: Create Anything in 3D with Multi-View Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation	❌	✅	✅	❌	✅	❌	✅	4
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework	❌	✅	✅	✅	✅	❌	✅	5
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition	✅	✅	✅	✅	✅	✅	✅	7
CIFD: Controlled Information Flow to Enhance Knowledge Distillation	❌	❌	✅	✅	✅	❌	✅	4
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
CLIP in Mirror: Disentangling text from visual images through reflection	❌	✅	✅	❌	✅	✅	✅	5
CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models	✅	✅	✅	✅	✅	❌	✅	6
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment	✅	✅	✅	✅	✅	✅	✅	7
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning	✅	✅	✅	❌	✅	❌	✅	5
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics	✅	✅	✅	✅	✅	❌	✅	6
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors	❌	✅	✅	✅	✅	✅	✅	6
CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts	✅	❌	✅	✅	✅	❌	✅	5
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models	✅	✅	✅	✅	✅	❌	✅	6
COLD: Causal reasOning in cLosed Daily activities	✅	✅	✅	❌	✅	❌	❌	4
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions	✅	❌	✅	❌	❌	❌	✅	3
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation	✅	✅	✅	❌	✅	❌	✅	5
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing	❌	✅	✅	❌	✅	❌	✅	4
CRAYM: Neural Field Optimization via Camera RAY Matching	❌	❌	✅	✅	✅	❌	✅	4
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks	✅	✅	✅	❌	✅	✅	✅	6
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection	❌	❌	✅	✅	✅	❌	✅	4
CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search	✅	✅	✅	❌	✅	❌	✅	5
CV-VAE: A Compatible Video VAE for Latent Generative Video Models	❌	❌	✅	✅	✅	❌	✅	4
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos	❌	✅	✅	✅	✅	❌	✅	5
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment	✅	✅	✅	✅	✅	❌	✅	6
Calibrated Self-Rewarding Vision Language Models	✅	✅	✅	❌	✅	❌	✅	5
Calibrating Reasoning in Language Models with Internal Consistency	❌	❌	✅	✅	✅	❌	✅	4
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs	❌	✅	✅	❌	✅	❌	✅	4
Can Graph Learning Improve Planning in LLM-based Agents?	❌	✅	✅	❌	✅	❌	✅	4
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach	✅	✅	✅	❌	✅	✅	✅	6
Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?	❌	❌	❌	❌	✅	❌	✅	2
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study	✅	✅	✅	✅	❌	❌	✅	5
Can Language Models Learn to Skip Steps?	❌	✅	✅	❌	✅	✅	✅	5
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?	✅	✅	✅	❌	❌	❌	✅	4
Can Large Language Model Agents Simulate Human Trust Behavior?	❌	✅	✅	❌	✅	❌	✅	4
Can Learned Optimization Make Reinforcement Learning Less Difficult?	✅	✅	✅	❌	✅	❌	✅	5
Can Models Learn Skill Composition from Examples?	❌	❌	❌	❌	✅	❌	✅	2
Can Simple Averaging Defeat Modern Watermarks?	❌	✅	✅	✅	✅	❌	✅	5
Can Transformers Smell Like Humans?	❌	✅	✅	✅	❌	❌	✅	4
Can We Leave Deepfake Data Behind in Training Deepfake Detector?	✅	✅	✅	❌	✅	❌	✅	5
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies	❌	❌	❌	❌	❌	❌	❌	0
Can large language models explore in-context?	❌	❌	❌	❌	❌	✅	✅	2
Can neural operators always be continuously discretized?	❌	❌	❌	❌	❌	❌	❌	0
Capturing the denoising effect of PCA via compression ratio	✅	✅	✅	❌	✅	❌	✅	5
Cardinality-Aware Set Prediction and Top-$k$ Classification	❌	❌	✅	❌	✅	❌	✅	3
Carrot and Stick: Eliciting Comparison Data and Beyond	✅	✅	✅	❌	❌	❌	✅	4
Cascade Speculative Drafting for Even Faster LLM Inference	✅	✅	✅	✅	✅	❌	✅	6
Cascade of phase transitions in the training of energy-based models	❌	✅	✅	❌	❌	❌	✅	3
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification	❌	✅	✅	❌	✅	❌	✅	4
Categorical Flow Matching on Statistical Manifolds	✅	✅	✅	✅	✅	❌	✅	6
Causal Context Adjustment Loss for Learned Image Compression	❌	❌	✅	❌	✅	❌	✅	3
Causal Contrastive Learning for Counterfactual Regression Over Time	✅	✅	✅	✅	✅	❌	✅	6
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model	✅	✅	✅	❌	✅	❌	✅	5
Causal Dependence Plots	✅	✅	✅	❌	❌	❌	❌	3
Causal Discovery from Event Sequences by Local Cause-Effect Attribution	❌	✅	✅	❌	✅	❌	✅	4
Causal Effect Identification in a Sub-Population with Latent Variables	✅	❌	❌	❌	❌	❌	✅	2
Causal Imitation for Markov Decision Processes: a Partial Identification Approach	✅	❌	✅	❌	✅	❌	✅	4
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects	❌	✅	✅	❌	❌	❌	❌	2
Causal Temporal Representation Learning with Nonstationary Sparse Transition	❌	✅	✅	✅	✅	✅	✅	6
Causal discovery with endogenous context variables	✅	✅	❌	❌	✅	❌	✅	4
Causal language modeling can elicit search and reasoning capabilities on logic puzzles	❌	✅	✅	✅	❌	❌	✅	4
Causal vs. Anticausal merging of predictors	❌	❌	❌	❌	❌	❌	❌	0
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense	✅	✅	✅	❌	✅	❌	✅	5
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction	❌	✅	✅	✅	✅	❌	✅	5
Cell ontology guided transcriptome foundation model	❌	✅	✅	✅	✅	❌	✅	5
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition	✅	✅	✅	❌	✅	❌	✅	5
Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models	✅	✅	✅	❌	✅	❌	✅	5
Certified Machine Unlearning via Noisy Stochastic Gradient Descent	✅	✅	✅	❌	✅	✅	✅	6
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing	✅	✅	✅	❌	✅	❌	✅	5
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks	✅	❌	✅	❌	✅	❌	✅	4
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs	❌	✅	✅	✅	✅	❌	✅	5
Chain of Thoughtlessness? An Analysis of CoT in Planning	❌	✅	✅	❌	❌	❌	✅	3
Chain-of-Thought Reasoning Without Prompting	❌	✅	❌	❌	✅	❌	✅	3
Challenges of Generating Structurally Diverse Graphs	❌	✅	❌	❌	✅	❌	✅	3
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization	✅	✅	✅	✅	✅	❌	✅	6
Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers	❌	✅	✅	✅	✅	❌	✅	5
ChatCam: Empowering Camera Control through Conversational AI	❌	❌	✅	❌	✅	❌	✅	3
ChatQA: Surpassing GPT-4 on Conversational QA and RAG	❌	✅	✅	✅	✅	❌	✅	5
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model	❌	❌	✅	❌	✅	❌	✅	3
Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models	❌	❌	✅	✅	❌	❌	❌	2
ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions	✅	✅	✅	✅	✅	❌	✅	6
CigTime: Corrective Instruction Generation Through Inverse Motion Editing	❌	❌	✅	✅	✅	❌	✅	4
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations	✅	✅	✅	❌	✅	✅	✅	6
Classification Diffusion Models: Revitalizing Density Ratio Estimation	✅	✅	✅	❌	✅	❌	✅	5
Classification Done Right for Vision-Language Pre-Training	❌	✅	✅	❌	❌	❌	✅	3
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift	✅	✅	✅	❌	✅	❌	✅	5
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning	✅	✅	✅	❌	❌	❌	✅	4
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation	✅	✅	✅	✅	✅	❌	✅	6
Cloud Object Detector Adaptation by Integrating Different Source Knowledge	✅	✅	✅	❌	✅	❌	✅	5
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers	✅	❌	✅	✅	❌	❌	✅	4
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention	❌	✅	✅	✅	✅	❌	✅	5
Clustering in Causal Attention Masking	❌	❌	❌	❌	❌	❌	✅	1
Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding	❌	❌	✅	✅	✅	❌	✅	4
Clustering with Non-adaptive Subset Queries	✅	❌	❌	❌	❌	❌	❌	1
Co-occurrence is not Factual Association in Language Models	❌	✅	✅	❌	✅	❌	✅	4
CoBo: Collaborative Learning via Bilevel Optimization	✅	✅	✅	❌	✅	❌	✅	5
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields	❌	✅	✅	❌	✅	❌	✅	4
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training	✅	✅	✅	✅	✅	❌	✅	6
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization	✅	✅	✅	❌	✅	❌	✅	5
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching	✅	✅	✅	✅	✅	❌	✅	6
CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise	❌	❌	✅	✅	❌	❌	✅	3
CoSy: Evaluating Textual Explanations of Neurons	❌	✅	✅	❌	✅	❌	✅	4
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations	✅	✅	✅	✅	✅	❌	✅	6
Coarse-to-Fine Concept Bottleneck Models	❌	✅	✅	❌	✅	❌	✅	4
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff	✅	✅	✅	❌	❌	❌	✅	4
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming	❌	✅	✅	✅	✅	✅	✅	6
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework	❌	❌	✅	✅	❌	❌	✅	3
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
CogVLM: Visual Expert for Pretrained Language Models	❌	✅	✅	✅	❌	❌	✅	4
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models	✅	✅	❌	❌	❌	❌	✅	3
Coherent 3D Scene Diffusion From a Single RGB Image	❌	❌	✅	❌	✅	❌	✅	3
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation	❌	✅	✅	❌	✅	❌	✅	4
Collaboration! Towards Robust Neural Methods for Routing Problems	✅	✅	✅	❌	✅	❌	✅	5
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling	✅	✅	✅	✅	✅	❌	✅	6
Collaborative Refining for Learning from Inaccurate Labels	✅	❌	✅	✅	❌	❌	✅	4
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control	✅	✅	✅	✅	✅	❌	✅	6
Color-Oriented Redundancy Reduction in Dataset Distillation	✅	✅	✅	❌	✅	❌	✅	5
Combining Observational Data and Language for Species Range Estimation	❌	✅	✅	❌	✅	❌	✅	4
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification	❌	✅	✅	✅	❌	✅	✅	5
Communication Bounds for the Distributed Experts Problem	✅	✅	✅	❌	✅	❌	✅	5
Communication Efficient Distributed Training with Distributed Lion	✅	❌	✅	✅	❌	❌	✅	4
Communication-Efficient Federated Group Distributionally Robust Optimization	✅	❌	✅	✅	✅	❌	✅	5
Community Detection Guarantees using Embeddings Learned by Node2Vec	❌	✅	✅	✅	✅	❌	✅	5
Compact Language Models via Pruning and Knowledge Distillation	❌	✅	✅	✅	✅	❌	✅	5
Compact Proofs of Model Performance via Mechanistic Interpretability	✅	✅	❌	❌	❌	✅	✅	4
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference	✅	✅	❌	❌	❌	❌	❌	2
Compositional 3D-aware Video Generation with LLM Director	❌	❌	✅	❌	✅	❌	✅	3
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations	❌	✅	✅	✅	✅	❌	✅	5
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond	❌	✅	✅	✅	✅	❌	✅	5
Compressing Large Language Models using Low Rank and Low Precision Decomposition	✅	✅	✅	✅	✅	❌	✅	6
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference	✅	✅	✅	✅	✅	❌	✅	6
Computational Aspects of Bayesian Persuasion under Approximate Best Response	✅	❌	❌	❌	❌	❌	❌	1
Computerized Adaptive Testing via Collaborative Ranking	✅	✅	✅	✅	❌	❌	❌	4
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise	❌	✅	❌	❌	✅	❌	✅	3
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification	❌	✅	✅	✅	✅	✅	✅	6
ConStat: Performance-Based Contamination Detection in Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models	✅	✅	✅	✅	✅	❌	✅	6
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting	✅	✅	✅	❌	✅	❌	✅	5
Conditional Controllable Image Fusion	✅	✅	✅	✅	✅	❌	✅	6
Conditional Density Estimation with Histogram Trees	✅	✅	✅	✅	✅	❌	✅	6
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand	✅	✅	✅	✅	✅	✅	✅	7
Conditional Outcome Equivalence: A Quantile Alternative to CATE	✅	✅	✅	❌	✅	❌	✅	5
Conditional Synthesis of 3D Molecules with Time Correction Sampler	✅	❌	✅	✅	✅	❌	✅	5
Conditioning non-linear and infinite-dimensional diffusion processes	❌	✅	✅	❌	✅	✅	✅	5
Confidence Calibration of Classifiers with Many Classes	✅	✅	✅	✅	✅	✅	✅	7
Confidence Regulation Neurons in Language Models	❌	✅	✅	✅	✅	❌	✅	5
Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs	✅	❌	❌	❌	❌	❌	❌	1
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Conformal Classification with Equalized Coverage for Adaptively Selected Groups	✅	✅	✅	✅	❌	❌	✅	5
Conformal Inverse Optimization	❌	✅	❌	✅	✅	✅	✅	5
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration	✅	✅	✅	✅	❌	❌	✅	5
Conformalized Credal Set Predictors	✅	✅	✅	✅	✅	❌	✅	6
Conformalized Multiple Testing after Data-dependent Selection	✅	✅	✅	❌	✅	✅	✅	6
Conformalized Time Series with Semantic Features	✅	✅	✅	✅	❌	❌	✅	5
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data	✅	✅	✅	❌	✅	❌	✅	5
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process	✅	✅	✅	✅	❌	❌	✅	5
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning	✅	✅	✅	✅	❌	❌	✅	5
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data	❌	✅	✅	❌	✅	❌	✅	4
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion	❌	✅	❌	❌	❌	❌	✅	2
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters	✅	✅	✅	✅	❌	❌	✅	5
Consensus Learning with Deep Sets for Essential Matrix Estimation	❌	✅	✅	❌	✅	❌	✅	4
Consistency Diffusion Bridge Models	❌	❌	✅	✅	✅	❌	✅	4
Consistency Models for Scalable and Fast Simulation-Based Inference	❌	✅	✅	❌	✅	❌	✅	4
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness	✅	✅	✅	✅	✅	❌	✅	6
Consistency of Neural Causal Partial Identification	❌	✅	❌	❌	❌	❌	✅	2
Constant Acceleration Flow	✅	✅	✅	❌	✅	❌	✅	5
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data	✅	✅	✅	✅	✅	❌	✅	6
Constrained Binary Decision Making	❌	❌	❌	❌	❌	❌	❌	0
Constrained Diffusion Models via Dual Training	✅	✅	✅	❌	✅	✅	✅	6
Constrained Diffusion with Trust Sampling	✅	✅	✅	❌	✅	❌	✅	5
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning	✅	✅	✅	❌	✅	✅	✅	6
Constrained Sampling with Primal-Dual Langevin Monte Carlo	✅	✅	✅	❌	❌	❌	✅	4
Constrained Synthesis with Projected Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective	✅	✅	✅	❌	✅	❌	✅	5
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model	❌	✅	✅	✅	❌	❌	✅	4
ContactField: Implicit Field Representation for Multi-Person Interaction Geometry	❌	❌	✅	❌	✅	✅	✅	4
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion	❌	✅	✅	✅	✅	❌	✅	5
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models	✅	✅	✅	❌	✅	❌	❌	4
ContextCite: Attributing Model Generation to Context	✅	✅	✅	❌	✅	❌	✅	5
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model	❌	✅	✅	❌	✅	❌	✅	4
Contextual Active Model Selection	✅	✅	✅	❌	✅	❌	✅	5
Contextual Bilevel Reinforcement Learning for Incentive Alignment	✅	✅	❌	❌	✅	❌	✅	4
Contextual Decision-Making with Knapsacks Beyond the Worst Case	✅	❌	❌	❌	❌	❌	✅	2
Contextual Linear Optimization with Bandit Feedback	❌	✅	❌	✅	✅	❌	✅	4
Contextual Multinomial Logit Bandits with General Value Functions	✅	❌	❌	❌	❌	❌	❌	1
Continual Audio-Visual Sound Separation	❌	✅	✅	✅	✅	❌	✅	5
Continual Counting with Gradual Privacy Expiration	✅	✅	❌	❌	❌	❌	✅	3
Continual Learning in the Frequency Domain	✅	✅	✅	❌	✅	❌	✅	5
Continual Learning with Global Alignment	❌	✅	✅	❌	✅	❌	✅	4
Continual learning with the neural tangent ensemble	✅	✅	✅	❌	✅	❌	✅	5
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition	✅	✅	✅	✅	✅	❌	✅	6
Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation	❌	✅	✅	✅	❌	❌	✅	4
Continuous Partitioning for Graph-Based Semi-Supervised Learning	✅	✅	✅	❌	✅	❌	✅	5
Continuous Product Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation	✅	❌	✅	❌	❌	❌	✅	3
Continuous Temporal Domain Generalization	❌	✅	✅	❌	✅	❌	✅	4
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving	❌	❌	✅	❌	✅	❌	✅	3
Contracting with a Learning Agent	❌	❌	❌	❌	❌	❌	❌	0
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities	✅	✅	✅	✅	✅	❌	✅	6
Contrastive dimension reduction: when and how?	✅	✅	✅	❌	✅	❌	✅	5
Contrastive losses as generalized models of global epistasis	❌	✅	✅	✅	❌	❌	✅	4
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT	❌	❌	✅	✅	✅	❌	✅	4
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence	❌	✅	✅	✅	✅	❌	✅	5
Controlled maximal variability along with reliable performance in recurrent neural networks	✅	✅	❌	❌	❌	❌	✅	3
Controlling Continuous Relaxation for Combinatorial Optimization	❌	✅	✅	❌	❌	❌	✅	3
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets	❌	✅	✅	✅	✅	✅	✅	6
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound	✅	✅	✅	✅	❌	❌	✅	5
Convergence Analysis of Split Federated Learning on Heterogeneous Data	✅	✅	✅	❌	✅	❌	✅	5
Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis	✅	❌	❌	❌	❌	❌	❌	1
Convergence of No-Swap-Regret Dynamics in Self-Play	❌	❌	❌	❌	❌	❌	❌	0
Convolutional Differentiable Logic Gate Networks	❌	✅	✅	✅	✅	❌	✅	5
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods	✅	✅	✅	❌	✅	❌	✅	5
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics	❌	✅	✅	❌	✅	❌	✅	4
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents	❌	✅	✅	❌	✅	❌	✅	4
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging	✅	✅	✅	❌	✅	❌	✅	5
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning	❌	✅	✅	❌	✅	❌	✅	4
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification	✅	❌	❌	❌	❌	❌	❌	1
CosAE: Learnable Fourier Series for Image Restoration	❌	❌	✅	✅	✅	❌	✅	4
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index	❌	✅	❌	❌	✅	✅	✅	4
Cost-efficient Knowledge-based Question Answering with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
CountGD: Multi-Modal Open-World Counting	❌	✅	✅	✅	✅	❌	✅	5
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning	✅	✅	✅	✅	❌	❌	✅	5
Counterfactual Fairness by Combining Factual and Counterfactual Predictions	✅	✅	✅	❌	✅	❌	✅	5
Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model	✅	✅	✅	✅	✅	✅	✅	7
Covariate Shift Corrected Conditional Randomization Test	✅	✅	❌	✅	✅	✅	✅	6
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions	❌	✅	✅	❌	✅	✅	✅	5
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions	❌	✅	✅	✅	✅	✅	✅	6
Credal Deep Ensembles for Uncertainty Quantification	✅	✅	✅	✅	✅	❌	✅	6
Credal Learning Theory	❌	❌	✅	❌	❌	❌	✅	2
Credit Attribution and Stable Compression	✅	❌	❌	❌	❌	❌	❌	1
CriticEval: Evaluating Large-scale Language Model as Critic	❌	✅	✅	✅	✅	✅	✅	6
Cross-Device Collaborative Test-Time Adaptation	✅	✅	✅	✅	✅	✅	✅	7
Cross-Modality Perturbation Synergy Attack for Person Re-identification	✅	✅	✅	✅	✅	❌	✅	6
Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation	✅	✅	✅	❌	✅	❌	✅	5
Cross-modal Representation Flattening for Multi-modal Domain Generalization	❌	✅	✅	✅	✅	❌	✅	5
Cross-model Control: Improving Multiple Large Language Models in One-time Training	❌	✅	✅	❌	✅	❌	✅	4
Cross-video Identity Correlating for Person Re-identification Pre-training	❌	❌	✅	❌	✅	❌	✅	3
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy	❌	❌	✅	❌	✅	❌	✅	3
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference	❌	❌	✅	❌	✅	✅	✅	4
Cryptographic Hardness of Score Estimation	❌	❌	❌	❌	❌	❌	❌	0
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance	❌	✅	✅	❌	✅	❌	✅	4
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts	❌	✅	✅	❌	✅	❌	✅	4
CultureLLM: Incorporating Cultural Differences into Large Language Models	❌	✅	✅	❌	❌	✅	✅	4
CulturePark: Boosting Cross-cultural Understanding in Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise	❌	✅	✅	❌	❌	❌	✅	3
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature	✅	✅	✅	✅	✅	❌	✅	6
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning	❌	✅	✅	❌	✅	❌	✅	4
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction	✅	✅	✅	✅	✅	✅	✅	7
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation	❌	✅	✅	❌	✅	✅	✅	5
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns	✅	✅	✅	✅	✅	❌	✅	6
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup	❌	✅	✅	❌	✅	❌	✅	4
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning	✅	✅	✅	✅	❌	❌	✅	5
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection	❌	✅	✅	✅	✅	❌	✅	5
DAGER: Exact Gradient Inversion for Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
DALD: Improving Logits-based Detector without Logits from Black-box LLMs	❌	✅	✅	❌	✅	❌	✅	4
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation	❌	✅	✅	✅	✅	❌	✅	5
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph	✅	✅	✅	✅	✅	✅	✅	7
DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection	❌	✅	✅	✅	❌	❌	✅	4
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving	❌	✅	✅	✅	✅	❌	✅	5
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity	✅	✅	✅	❌	✅	❌	✅	5
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain	✅	✅	✅	✅	✅	✅	✅	7
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos	❌	✅	✅	❌	✅	❌	✅	4
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain	❌	✅	✅	❌	✅	❌	✅	4
DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering	❌	❌	✅	❌	✅	❌	✅	3
DDK: Distilling Domain Knowledge for Efficient Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor	❌	✅	✅	❌	✅	❌	✅	4
DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach	❌	❌	✅	✅	✅	❌	✅	4
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform	✅	✅	✅	✅	✅	❌	✅	6
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering	❌	❌	❌	✅	❌	❌	✅	2
DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism	❌	❌	✅	❌	✅	❌	✅	3
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning	✅	✅	✅	✅	✅	✅	✅	7
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators	✅	✅	✅	❌	✅	❌	✅	5
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment	✅	❌	✅	✅	✅	❌	✅	5
DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization	❌	✅	✅	❌	✅	❌	✅	4
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion	✅	❌	✅	✅	✅	❌	✅	5
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model	❌	✅	✅	✅	✅	❌	✅	5
DINTR: Tracking via Diffusion-based Interpolation	✅	❌	✅	❌	✅	❌	✅	4
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection	❌	✅	✅	✅	✅	❌	✅	5
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
DMesh: A Differentiable Mesh Representation	✅	✅	✅	❌	✅	✅	✅	6
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering	❌	✅	✅	❌	✅	❌	✅	4
DOFEN: Deep Oblivious Forest ENsemble	✅	✅	✅	✅	✅	❌	✅	6
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus	✅	✅	✅	✅	✅	❌	✅	6
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction	✅	✅	✅	❌	✅	❌	✅	5
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection	❌	✅	✅	❌	❌	✅	✅	4
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM	❌	❌	✅	✅	✅	❌	✅	4
DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting	✅	✅	✅	❌	✅	❌	✅	5
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation	❌	✅	✅	❌	✅	❌	✅	4
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices	✅	✅	✅	❌	✅	❌	✅	5
DarkSAM: Fooling Segment Anything Model to Segment Nothing	✅	✅	✅	❌	✅	✅	✅	6
Data Acquisition via Experimental Design for Data Markets	✅	✅	✅	✅	✅	✅	✅	7
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images	❌	✅	✅	❌	✅	❌	✅	4
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning	✅	✅	✅	❌	✅	❌	✅	5
Data Distribution Valuation	❌	✅	✅	❌	✅	❌	✅	4
Data Free Backdoor Attacks	❌	✅	✅	❌	✅	❌	✅	4
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions	❌	✅	✅	❌	❌	❌	✅	3
Data subsampling for Poisson regression with pth-root-link	✅	✅	❌	❌	✅	❌	✅	4
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Data-Efficient Learning with Neural Programs	✅	✅	✅	❌	✅	❌	✅	5
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning	✅	✅	✅	✅	✅	❌	✅	6
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables	✅	✅	✅	❌	✅	❌	❌	4
DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans	✅	✅	✅	❌	✅	❌	✅	5
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum	✅	✅	✅	❌	✅	❌	✅	5
DeBaRA: Denoising-Based 3D Room Arrangement Generation	✅	❌	✅	❌	✅	❌	✅	4
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States	❌	✅	✅	✅	✅	❌	✅	5
DeNetDM: Debiasing by Network Depth Modulation	✅	✅	✅	✅	✅	❌	✅	6
DePLM: Denoising Protein Language Models for Property Optimization	✅	✅	✅	✅	✅	❌	✅	6
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms	❌	✅	✅	❌	✅	❌	✅	4
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ	❌	✅	✅	❌	✅	✅	✅	5
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking	❌	❌	✅	❌	✅	❌	✅	3
Dealing with Synthetic Data Contamination in Online Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Debiasing Synthetic Data Generated by Deep Generative Models	✅	✅	✅	❌	✅	❌	✅	5
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions	✅	❌	✅	❌	❌	❌	✅	3
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL	✅	✅	✅	❌	✅	❌	✅	5
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling	✅	✅	✅	❌	✅	❌	✅	5
Decision-Focused Learning with Directional Gradients	❌	✅	✅	✅	✅	✅	✅	6
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context	❌	✅	✅	❌	❌	❌	✅	3
Decoding-Time Language Model Alignment with Multiple Objectives	✅	✅	✅	✅	✅	❌	✅	6
Decomposable Transformer Point Processes	✅	✅	✅	✅	❌	❌	✅	5
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle	✅	✅	✅	✅	❌	❌	✅	5
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization	✅	✅	✅	❌	✅	❌	✅	5
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP	✅	✅	✅	✅	✅	❌	✅	6
Decoupled Kullback-Leibler Divergence Loss	✅	✅	✅	✅	✅	❌	✅	6
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.	✅	✅	✅	✅	❌	❌	✅	5
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution	❌	✅	✅	✅	✅	❌	✅	5
Deep Bayesian Active Learning for Preference Modeling in Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Deep Correlated Prompting for Visual Recognition with Missing Modalities	❌	✅	✅	✅	✅	❌	✅	5
Deep Equilibrium Algorithmic Reasoning	✅	✅	✅	✅	✅	✅	✅	7
Deep Graph Mating	✅	✅	✅	✅	❌	❌	✅	5
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module	❌	✅	✅	✅	✅	❌	✅	5
Deep Homomorphism Networks	✅	✅	✅	✅	✅	❌	✅	6
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond	❌	✅	✅	✅	✅	❌	✅	5
Deep Learning for Computing Convergence Rates of Markov Chains	✅	✅	❌	❌	✅	❌	✅	4
Deep Learning in Medical Image Registration: Magic or Mirage?	❌	✅	✅	✅	✅	❌	❌	4
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers	✅	✅	✅	❌	✅	❌	✅	5
Deep Submodular Peripteral Networks	❌	❌	✅	✅	✅	❌	✅	4
Deep Support Vectors	✅	✅	✅	✅	✅	❌	✅	6
Deep linear networks for regression are implicitly regularized towards flat minima	❌	✅	❌	❌	✅	❌	✅	3
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection	✅	✅	✅	✅	✅	❌	✅	6
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation	✅	✅	✅	✅	✅	❌	✅	6
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction	❌	✅	✅	❌	✅	❌	✅	4
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs	✅	✅	✅	❌	✅	❌	✅	5
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching	✅	✅	✅	✅	✅	✅	✅	7
DeiSAM: Segment Anything with Deictic Prompting	✅	✅	✅	✅	❌	❌	✅	5
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations	✅	✅	✅	❌	✅	❌	✅	5
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking	❌	✅	✅	✅	✅	✅	✅	6
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?	❌	✅	✅	❌	✅	❌	✅	4
Demystify Mamba in Vision: A Linear Attention Perspective	❌	✅	✅	✅	✅	❌	✅	5
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation	❌	✅	✅	✅	✅	❌	✅	5
DenoiseRep: Denoising Model for Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model	✅	❌	✅	✅	✅	❌	✅	5
Dense Associative Memory Through the Lens of Random Features	✅	✅	✅	❌	✅	❌	✅	5
Dense Connector for MLLMs	❌	✅	✅	❌	✅	❌	✅	4
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging	✅	✅	✅	❌	✅	❌	✅	5
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval	❌	✅	✅	✅	✅	✅	✅	6
Depth Anything V2	❌	✅	✅	❌	❌	❌	✅	3
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation	❌	❌	✅	✅	✅	❌	✅	4
Derandomizing Multi-Distribution Learning	✅	❌	❌	❌	❌	❌	❌	1
Derivative-enhanced Deep Operator Network	❌	✅	❌	❌	✅	❌	✅	3
Derivatives of Stochastic Gradient Descent in parametric optimization	❌	✅	✅	❌	✅	❌	✅	4
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization	❌	✅	✅	✅	✅	❌	✅	5
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems	✅	✅	✅	❌	✅	❌	✅	5
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers	✅	✅	✅	✅	✅	❌	✅	6
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Detecting and Measuring Confounding Using Causal Mechanism Shifts	✅	✅	❌	❌	❌	❌	✅	3
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time	✅	❌	❌	❌	❌	❌	❌	1
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function	❌	✅	✅	✅	✅	❌	✅	5
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation	❌	✅	✅	❌	✅	❌	✅	4
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization	✅	❌	✅	✅	✅	✅	✅	6
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection	✅	✅	✅	✅	✅	❌	✅	6
DiTFastAttn: Attention Compression for Diffusion Transformer Models	✅	❌	✅	❌	✅	❌	✅	4
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models	❌	✅	✅	❌	✅	❌	❌	3
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers	❌	✅	✅	✅	✅	❌	✅	5
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut	✅	✅	✅	✅	✅	❌	✅	6
DiffGS: Functional Gaussian Splatting Diffusion	❌	✅	✅	❌	✅	❌	✅	4
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification	✅	✅	✅	❌	✅	❌	✅	5
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data	❌	✅	✅	❌	✅	❌	✅	4
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation	✅	✅	✅	✅	✅	❌	✅	6
DiffPO: A causal diffusion model for learning distributions of potential outcomes	❌	✅	✅	✅	✅	❌	✅	5
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion	❌	✅	✅	❌	✅	✅	✅	5
DiffPhyCon: A Generative Approach to Control Complex Physical Systems	✅	✅	✅	❌	✅	❌	✅	5
DiffSF: Diffusion Models for Scene Flow Estimation	✅	✅	✅	❌	✅	❌	✅	5
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning	✅	❌	✅	❌	✅	❌	✅	4
Diffeomorphic interpolation for efficient persistence-based topological optimization	✅	✅	✅	❌	✅	❌	✅	5
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation	❌	✅	✅	❌	❌	❌	✅	3
Differentiable Quantum Computing for Large-scale Linear Control	✅	✅	❌	❌	✅	❌	✅	4
Differentiable Structure Learning with Partial Orders	✅	✅	✅	❌	✅	❌	✅	5
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos	❌	✅	✅	❌	✅	❌	✅	4
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features	✅	✅	✅	❌	✅	❌	✅	5
Differentially Private Equivalence Testing for Continuous Distributions and Applications	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private Graph Diffusion with Applications in Personalized PageRanks	❌	✅	✅	❌	✅	❌	✅	4
Differentially Private Optimization with Sparse Gradients	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private Reinforcement Learning with Self-Play	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private Set Representations	✅	❌	❌	❌	✅	❌	✅	3
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement	❌	✅	✅	❌	✅	❌	✅	4
DiffuBox: Refining 3D Object Detection with Point Diffusion	✅	✅	✅	✅	✅	❌	✅	6
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge	❌	❌	✅	❌	✅	❌	✅	3
DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model	✅	❌	✅	✅	✅	❌	✅	5
DiffuserLite: Towards Real-time Diffusion Planning	✅	✅	✅	❌	✅	❌	✅	5
Diffusing Differentiable Representations	✅	❌	✅	❌	✅	✅	✅	5
Diffusion Actor-Critic with Entropy Regulator	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Imitation from Observation	✅	❌	✅	❌	✅	❌	✅	4
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement	❌	✅	✅	❌	✅	❌	✅	4
Diffusion Models With Learned Adaptive Noise	❌	✅	✅	❌	✅	❌	✅	4
Diffusion Models are Certifiably Robust Classifiers	✅	✅	✅	❌	✅	❌	✅	5
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition	❌	✅	✅	❌	✅	❌	✅	4
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies	✅	❌	✅	❌	✅	❌	✅	4
Diffusion Priors for Variational Likelihood Estimation and Image Denoising	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Spectral Representation for Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Twigs with Loop Guidance for Conditional Graph Generation	✅	✅	✅	❌	✅	❌	❌	4
Diffusion for World Modeling: Visual Details Matter in Atari	✅	✅	✅	❌	✅	❌	✅	5
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models	❌	✅	✅	❌	✅	❌	✅	4
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval	❌	✅	✅	✅	✅	✅	✅	6
Diffusion-Reward Adversarial Imitation Learning	✅	❌	✅	❌	✅	❌	✅	4
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection	✅	✅	✅	❌	✅	❌	✅	5
Diffusion-based Curriculum Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization	✅	✅	✅	❌	✅	❌	✅	5
Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction	✅	✅	✅	✅	✅	❌	✅	6
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion	❌	✅	✅	❌	❌	✅	✅	4
DiffusionPDE: Generative PDE-Solving under Partial Observation	✅	✅	✅	❌	✅	❌	✅	5
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Dimension-free Private Mean Estimation for Anisotropic Distributions	✅	❌	❌	❌	❌	❌	❌	1
Dimension-free deterministic equivalents and scaling laws for random feature regression	✅	❌	✅	❌	❌	❌	✅	3
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models	✅	❌	✅	❌	✅	❌	✅	4
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits	✅	✅	✅	❌	❌	❌	✅	4
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models	❌	❌	✅	✅	❌	❌	✅	3
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer	❌	❌	✅	❌	❌	❌	✅	2
Directional Smoothness and Gradient Methods: Convergence and Adaptivity	✅	❌	✅	✅	✅	❌	✅	5
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text	❌	✅	✅	❌	✅	✅	✅	5
DisC-GS: Discontinuity-aware Gaussian Splatting	❌	❌	✅	❌	✅	❌	✅	3
DisCEdit: Model Editing by Identifying Discriminative Components	✅	✅	✅	✅	✅	✅	✅	7
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration	✅	❌	❌	❌	✅	❌	✅	3
Discovering Preference Optimization Algorithms with and for Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Discovering plasticity rules that organize and maintain neural circuits	❌	✅	❌	❌	✅	❌	✅	3
Discovery of the Hidden World with Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Discrete Flow Matching	✅	✅	✅	❌	✅	❌	✅	5
Discrete Modeling via Boundary Conditional Diffusion Processes	✅	✅	✅	✅	✅	❌	✅	6
Discrete-state Continuous-time Diffusion for Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization	✅	✅	✅	❌	✅	❌	✅	5
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis	❌	✅	✅	✅	✅	❌	✅	5
Disentangled Representation Learning in Non-Markovian Causal Systems	✅	✅	❌	❌	✅	❌	✅	4
Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection	❌	✅	✅	✅	✅	❌	✅	5
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis	✅	✅	✅	❌	✅	✅	✅	6
Disentangling Linear Quadratic Control with Untrusted ML Predictions	✅	✅	✅	❌	❌	❌	✅	4
Disentangling and mitigating the impact of task similarity for continual learning	❌	✅	✅	❌	❌	❌	✅	3
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems	❌	✅	✅	❌	✅	✅	✅	5
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection	✅	✅	✅	✅	✅	✅	✅	7
Dissecting Query-Key Interaction in Vision Transformers	❌	✅	✅	✅	❌	❌	✅	4
Dissecting the Failure of Invariant Learning on Graphs	✅	✅	✅	✅	✅	❌	✅	6
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers	❌	✅	✅	✅	✅	❌	✅	5
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features	❌	❌	✅	✅	✅	❌	✅	4
Distributed Least Squares in Small Space via Sketching and Bias Reduction	❌	✅	✅	❌	✅	❌	✅	4
Distributed-Order Fractional Graph Operating Network	❌	✅	✅	✅	✅	❌	✅	5
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Distribution Learning with Valid Outputs Beyond the Worst-Case	✅	❌	❌	❌	❌	❌	❌	1
Distribution-Aware Data Expansion with Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Distributional Preference Alignment of LLMs via Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
Distributional Reinforcement Learning with Regularized Wasserstein Loss	✅	✅	✅	❌	✅	❌	✅	5
Distributional Successor Features Enable Zero-Shot Policy Optimization	✅	✅	✅	❌	✅	❌	✅	5
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation	❌	✅	✅	✅	❌	❌	✅	4
Distributionally Robust Performative Prediction	✅	❌	✅	❌	✅	❌	✅	4
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms	✅	❌	❌	❌	❌	❌	❌	1
DistrictNet: Decision-aware learning for geographical districting	✅	✅	✅	❌	✅	❌	✅	5
Divergences between Language Models and Human Brains	✅	✅	✅	✅	✅	❌	✅	6
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec	❌	❌	✅	❌	✅	✅	✅	4
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners	✅	✅	✅	❌	✅	❌	✅	5
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment	✅	✅	✅	❌	✅	❌	✅	5
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation	✅	✅	✅	❌	✅	✅	✅	6
Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors	✅	✅	✅	✅	✅	❌	✅	6
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm	✅	✅	✅	✅	✅	❌	✅	6
Do Finetti: On Causal Effects for Exchangeable Data	✅	✅	❌	❌	❌	❌	✅	3
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction	❌	✅	✅	✅	✅	❌	✅	5
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers	✅	✅	✅	✅	❌	❌	✅	5
Do causal predictors generalize better to new domains?	❌	✅	✅	✅	✅	❌	✅	5
Do's and Don'ts: Learning Desirable Skills with Instruction Videos	✅	✅	✅	❌	✅	✅	✅	6
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting	✅	✅	✅	❌	✅	❌	✅	5
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors	❌	✅	❌	❌	✅	❌	✅	3
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models	❌	❌	❌	❌	❌	❌	✅	1
Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?	❌	✅	✅	✅	✅	✅	✅	6
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD	❌	❌	✅	❌	✅	❌	✅	3
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning	✅	✅	✅	❌	❌	❌	✅	4
Domain Adaptation for Large-Vocabulary Object Detectors	✅	❌	✅	✅	✅	❌	✅	5
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning	❌	❌	✅	❌	✅	❌	✅	3
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences	✅	✅	✅	✅	✅	✅	✅	7
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization	❌	✅	✅	❌	✅	❌	✅	4
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling	✅	✅	✅	❌	✅	❌	✅	5
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search	✅	✅	✅	✅	✅	❌	✅	6
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation	❌	❌	✅	❌	✅	❌	✅	3
Doubly Mild Generalization for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization	✅	✅	✅	✅	✅	❌	✅	6
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation	❌	✅	✅	✅	✅	❌	✅	5
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation	❌	✅	✅	❌	✅	❌	✅	4
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos	❌	❌	✅	❌	✅	❌	✅	3
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data	✅	✅	✅	✅	✅	❌	✅	6
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond	❌	✅	✅	✅	✅	❌	✅	5
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation	❌	✅	✅	✅	✅	❌	✅	5
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals	❌	✅	✅	✅	✅	✅	✅	6
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs	✅	✅	✅	✅	✅	❌	✅	6
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks	✅	✅	❌	❌	✅	✅	✅	5
Dual Critic Reinforcement Learning under Partial Observability	❌	✅	✅	❌	✅	❌	✅	4
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images	❌	❌	✅	✅	✅	❌	✅	4
Dual Lagrangian Learning for Conic Optimization	❌	✅	✅	✅	✅	✅	✅	6
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models	❌	✅	✅	✅	✅	❌	✅	5
Dual-Diffusion for Binocular 3D Human Pose Estimation	❌	✅	✅	❌	✅	❌	✅	4
Dual-Personalizing Adapter for Federated Foundation Models	✅	✅	✅	❌	✅	❌	✅	5
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss	❌	✅	✅	❌	✅	❌	✅	4
Dueling over Dessert, Mastering the Art of Repeated Cake Cutting	✅	✅	❌	❌	❌	❌	❌	2
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control	❌	❌	✅	❌	✅	❌	✅	3
Dynamic 3D Gaussian Fields for Urban Areas	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Conditional Optimal Transport through Simulation-Free Flows	❌	✅	✅	✅	❌	❌	✅	4
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Rescaling for Training GNNs	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition	✅	❌	❌	❌	❌	❌	✅	2
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments	✅	❌	✅	❌	✅	❌	✅	4
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation	❌	✅	✅	❌	✅	❌	✅	4
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron	❌	✅	✅	❌	✅	✅	✅	5
Déjà Vu Memorization in Vision–Language Models	✅	✅	✅	❌	✅	❌	✅	5
E-Motion: Future Motion Simulation via Event Sequence Diffusion	✅	✅	✅	✅	✅	❌	✅	6
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection	❌	✅	✅	✅	✅	✅	✅	6
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding	❌	❌	✅	❌	❌	❌	✅	2
EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas	❌	✅	✅	❌	❌	❌	✅	3
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer	✅	❌	❌	❌	✅	❌	✅	3
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction	❌	✅	✅	❌	❌	❌	✅	3
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching	❌	✅	✅	❌	✅	❌	✅	4
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals	✅	❌	✅	✅	✅	❌	✅	5
EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals	❌	✅	✅	✅	✅	❌	✅	5
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics	✅	✅	✅	✅	✅	❌	✅	6
EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection	❌	✅	✅	❌	✅	✅	✅	5
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns	✅	✅	✅	✅	✅	❌	✅	6
EM Distillation for One-step Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
EMR-Merging: Tuning-Free High-Performance Model Merging	✅	✅	✅	❌	❌	❌	❌	3
EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing	✅	✅	✅	✅	✅	❌	✅	6
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis	❌	✅	✅	✅	✅	❌	✅	5
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
ESPACE: Dimensionality Reduction of Activations for Model Compression	❌	❌	✅	✅	✅	❌	✅	4
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation	✅	✅	✅	✅	✅	❌	✅	6
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses	❌	❌	✅	✅	✅	❌	✅	4
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection	❌	✅	✅	❌	✅	❌	✅	4
Easy Regional Contrastive Learning of Expressive Fashion Representations	❌	✅	✅	❌	❌	❌	✅	3
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision	❌	✅	✅	✅	❌	❌	✅	4
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes	✅	❌	❌	❌	❌	❌	❌	1
Effective Exploration Based on the Structural Information Principles	✅	✅	✅	❌	✅	❌	✅	5
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization	❌	✅	✅	✅	✅	❌	✅	5
Efficiency for Free: Ideal Data Are Transportable Representations	✅	✅	✅	❌	✅	❌	✅	5
Efficiency of the First-Price Auction in the Autobidding World	❌	❌	❌	❌	❌	❌	❌	0
Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games	✅	❌	❌	❌	❌	❌	❌	1
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation	❌	✅	✅	✅	✅	❌	✅	5
Efficient Adversarial Training in LLMs with Continuous Attacks	❌	✅	✅	❌	✅	❌	✅	4
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously	✅	✅	✅	❌	✅	❌	✅	5
Efficient Centroid-Linkage Clustering	✅	✅	✅	❌	✅	✅	✅	6
Efficient Combinatorial Optimization via Heat Diffusion	✅	✅	✅	✅	✅	❌	✅	6
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning	❌	✅	✅	✅	✅	❌	✅	5
Efficient Discrepancy Testing for Learning with Distribution Shift	✅	❌	❌	❌	❌	❌	❌	1
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability	✅	✅	✅	❌	✅	✅	✅	6
Efficient Graph Matching for Correlated Stochastic Block Models	✅	❌	❌	❌	❌	❌	❌	1
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization	✅	✅	✅	❌	✅	❌	✅	5
Efficient LLM Scheduling by Learning to Rank	✅	✅	✅	❌	✅	✅	✅	6
Efficient Large Multi-modal Models via Visual Context Compression	❌	✅	✅	✅	✅	❌	✅	5
Efficient Leverage Score Sampling for Tensor Train Decomposition	✅	✅	✅	❌	✅	❌	✅	5
Efficient Lifelong Model Evaluation in an Era of Rapid Progress	✅	✅	✅	❌	✅	❌	✅	5
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms	✅	✅	✅	✅	✅	❌	✅	6
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters	✅	✅	✅	❌	✅	❌	✅	5
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance	✅	✅	✅	❌	✅	❌	✅	5
Efficient Policy Evaluation Across Multiple Different Experimental Datasets	✅	✅	✅	✅	❌	❌	✅	5
Efficient Prompt Optimization Through the Lens of Best Arm Identification	✅	✅	✅	✅	✅	❌	✅	6
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate	✅	✅	✅	✅	✅	❌	✅	6
Efficient Reinforcement Learning by Discovering Neural Pathways	✅	✅	✅	❌	❌	✅	✅	5
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction	✅	❌	✅	❌	✅	❌	✅	4
Efficient Sketches for Training Data Attribution and Studying the Loss Landscape	✅	✅	✅	❌	✅	❌	✅	5
Efficient Streaming Algorithms for Graphlet Sampling	✅	✅	✅	❌	✅	❌	✅	5
Efficient Temporal Action Segmentation via Boundary-aware Query Voting	✅	✅	✅	✅	✅	❌	✅	6
Efficient and Private Marginal Reconstruction with Local Non-Negativity	✅	✅	✅	❌	✅	❌	✅	5
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes	✅	✅	❌	✅	❌	❌	✅	4
Efficient multi-prompt evaluation of LLMs	✅	✅	✅	✅	✅	❌	✅	6
EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation	❌	✅	✅	❌	✅	❌	✅	4
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing	✅	✅	✅	❌	✅	❌	✅	5
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views	❌	✅	✅	❌	✅	❌	✅	4
EigenVI: score-based variational inference with orthogonal function expansions	❌	✅	✅	❌	✅	❌	✅	4
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer	❌	✅	✅	❌	✅	❌	✅	4
Elliptical Attention	✅	✅	✅	✅	✅	❌	✅	6
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation	❌	❌	✅	❌	✅	❌	✅	3
Elucidating the Design Space of Dataset Condensation	❌	✅	✅	❌	✅	❌	✅	4
Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors	❌	✅	✅	❌	✅	❌	✅	4
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Embedding-Aligned Language Models	✅	❌	✅	❌	✅	❌	✅	4
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space	❌	✅	✅	✅	✅	❌	✅	5
Emergence of heavy tails in homogenized stochastic gradient descent	❌	✅	✅	❌	✅	❌	✅	4
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning	✅	✅	✅	❌	✅	❌	✅	5
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism	❌	✅	✅	✅	✅	❌	✅	5
Empowering Visible-Infrared Person Re-Identification with Large Foundation Models	❌	❌	✅	✅	✅	❌	✅	4
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature	✅	✅	✅	❌	❌	❌	✅	4
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity	✅	✅	❌	❌	✅	❌	✅	4
End-To-End Causal Effect Estimation from Unstructured Natural Language Data	❌	❌	✅	✅	❌	❌	✅	3
End-to-End Ontology Learning with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning	❌	❌	✅	❌	✅	❌	❌	2
End-to-end Learnable Clustering for Intent Learning in Recommendation	✅	✅	✅	✅	✅	❌	✅	6
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces	✅	✅	✅	✅	✅	❌	✅	6
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs	✅	✅	✅	❌	✅	❌	✅	5
Energy-based Epistemic Uncertainty for Graph Neural Networks	❌	✅	✅	✅	✅	✅	✅	6
Energy-based Hopfield Boosting for Out-of-Distribution Detection	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Chess Reinforcement Learning with Graph Representation	✅	✅	❌	❌	✅	❌	✅	4
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination	✅	❌	✅	❌	✅	❌	✅	4
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Domain Adaptation through Prompt Gradient Alignment	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation	✅	❌	✅	❌	✅	❌	✅	4
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding	❌	✅	✅	✅	✅	❌	✅	5
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective	✅	✅	✅	✅	✅	❌	✅	6
Enhancing LLM Reasoning via Vision-Augmented Prompting	❌	✅	✅	❌	❌	❌	✅	3
Enhancing LLM’s Cognition via Structurization	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Large Language Models through Adaptive Tokenizers	❌	❌	✅	❌	✅	✅	✅	4
Enhancing Large Vision Language Models with Self-Training on Image Comprehension	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control	✅	❌	✅	❌	❌	❌	✅	3
Enhancing Preference-based Linear Bandits via Human Response Time	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections	✅	✅	✅	✅	❌	❌	✅	5
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting	✅	✅	✅	❌	✅	❌	✅	5
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics	❌	❌	✅	❌	✅	❌	✅	3
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models	✅	✅	✅	✅	✅	❌	✅	6
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration	❌	✅	✅	✅	✅	❌	✅	5
Ensemble sampling for linear bandits: small ensembles suffice	✅	❌	❌	❌	❌	❌	❌	1
Entity Alignment with Noisy Annotations from Large Language Models	✅	✅	✅	❌	✅	✅	✅	6
Entropy testing and its application to testing Bayesian networks	✅	❌	❌	❌	❌	❌	❌	1
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Entrywise error bounds for low-rank approximations of kernel matrices	❌	✅	✅	❌	✅	❌	✅	4
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis	❌	✅	✅	❌	✅	❌	✅	4
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation	✅	✅	✅	✅	✅	❌	✅	6
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters	❌	❌	✅	✅	✅	✅	✅	5
Equivariant Neural Diffusion for Molecule Generation	✅	✅	✅	❌	✅	❌	✅	5
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution	❌	✅	✅	✅	✅	❌	✅	5
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention	❌	❌	✅	❌	✅	❌	✅	3
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation	✅	✅	✅	✅	✅	❌	✅	6
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game	❌	❌	❌	❌	✅	✅	✅	3
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View	❌	✅	✅	❌	✅	❌	✅	4
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data	❌	❌	✅	✅	✅	❌	✅	4
Estimating Epistemic and Aleatoric Uncertainty with a Single Model	❌	✅	✅	✅	✅	❌	✅	5
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression	❌	✅	❌	❌	❌	❌	✅	2
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data	✅	✅	✅	✅	✅	❌	✅	6
Estimating the Hallucination Rate of Generative AI	✅	✅	✅	✅	✅	❌	✅	6
Euclidean distance compression via deep random features	❌	✅	✅	❌	❌	❌	✅	3
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering	✅	✅	✅	❌	✅	❌	✅	5
Evaluating alignment between humans and neural network representations in image-based learning tasks	❌	✅	✅	❌	✅	❌	✅	4
Evaluating the World Model Implicit in a Generative Model	✅	✅	✅	✅	✅	❌	✅	6
Evaluating the design space of diffusion-based generative models	❌	❌	❌	❌	❌	❌	❌	0
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective	❌	❌	✅	❌	✅	✅	✅	4
Even Sparser Graph Transformers	✅	✅	✅	✅	✅	❌	✅	6
Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor	❌	✅	✅	✅	✅	❌	✅	5
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network	❌	✅	✅	✅	✅	❌	✅	5
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity	✅	✅	✅	❌	✅	❌	✅	5
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation	✅	✅	✅	❌	❌	❌	✅	4
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems	❌	✅	✅	✅	✅	❌	✅	5
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals	✅	✅	❌	❌	✅	❌	✅	4
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization	❌	✅	✅	✅	✅	✅	✅	6
Exactly Minimax-Optimal Locally Differentially Private Sampling	❌	✅	❌	❌	✅	❌	✅	3
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking	❌	✅	✅	❌	✅	❌	✅	4
Exclusively Penalized Q-learning for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Exocentric-to-Egocentric Video Generation	❌	❌	✅	❌	✅	❌	✅	3
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation	✅	✅	✅	✅	✅	❌	✅	6
Expanding Sparse Tuning for Low Memory Usage	❌	✅	✅	✅	✅	❌	✅	5
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch	✅	✅	✅	❌	✅	❌	✅	5
Expected Probabilistic Hierarchies	✅	✅	✅	❌	✅	❌	✅	5
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport	✅	✅	✅	✅	✅	❌	✅	6
Expert-level protocol translation for self-driving labs	✅	❌	✅	❌	❌	✅	✅	4
Explaining Datasets in Words: Statistical Models with Natural Language Parameters	✅	✅	✅	❌	✅	✅	✅	6
Explanations that reveal all through the deﬁnition of encoding	✅	❌	✅	✅	✅	❌	✅	5
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization	✅	✅	✅	✅	✅	❌	✅	6
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering	❌	✅	✅	✅	✅	✅	✅	6
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion	✅	✅	✅	✅	✅	❌	✅	6
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels	✅	✅	✅	❌	✅	❌	✅	5
Exploiting LLM Quantization	❌	✅	✅	❌	✅	❌	✅	4
Exploiting Representation Curvature for Boundary Detection in Time Series	❌	✅	✅	❌	✅	✅	✅	5
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration	✅	❌	✅	❌	✅	❌	✅	4
Exploration by Learning Diverse Skills through Successor State Representations	✅	✅	✅	❌	❌	❌	✅	4
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following	✅	✅	✅	❌	✅	✅	✅	6
Exploring Adversarial Robustness of Deep State Space Models	❌	✅	✅	❌	✅	❌	✅	4
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Exploring Context Window of Large Language Models via Decomposed Positional Vectors	✅	❌	✅	❌	✅	❌	✅	4
Exploring DCN-like architecture for fast image generation with arbitrary resolution	❌	❌	✅	❌	✅	❌	✅	3
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization	❌	❌	✅	❌	❌	❌	✅	2
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations	✅	✅	❌	❌	✅	✅	✅	5
Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing	✅	✅	✅	❌	✅	❌	✅	5
Exploring Molecular Pretraining Model at Scale	❌	❌	✅	✅	✅	❌	✅	4
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Exploring Token Pruning in Vision State Space Models	✅	✅	✅	✅	✅	❌	✅	6
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning	❌	✅	✅	❌	❌	❌	✅	3
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models	❌	❌	✅	❌	❌	❌	✅	2
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces	❌	❌	❌	✅	✅	❌	✅	3
Exponential Quantum Communication Advantage in Distributed Inference and Learning	✅	✅	✅	✅	✅	❌	✅	6
Expressive Gaussian Human Avatars from Monocular RGB Video	❌	✅	✅	❌	✅	❌	✅	4
Extending Multi-modal Contrastive Representations	❌	✅	✅	❌	✅	❌	✅	4
Extending Video Masked Autoencoders to 128 frames	❌	❌	✅	❌	✅	❌	✅	3
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes	✅	❌	✅	❌	❌	❌	✅	3
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data	✅	✅	✅	✅	✅	✅	✅	7
Extracting Training Data from Molecular Pre-trained Models	✅	✅	✅	❌	✅	❌	✅	5
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning	✅	✅	✅	❌	✅	❌	✅	5
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?	✅	✅	✅	❌	✅	❌	✅	5
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification	❌	✅	✅	❌	✅	❌	✅	4
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model	✅	✅	✅	❌	✅	❌	✅	5
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor	❌	✅	✅	❌	✅	❌	✅	4
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning	✅	✅	✅	❌	✅	✅	✅	6
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors	❌	✅	✅	❌	✅	❌	✅	4
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction	✅	✅	✅	✅	✅	✅	✅	7
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation	✅	✅	✅	✅	✅	❌	✅	6
FIFO-Diffusion: Generating Infinite Videos from Text without Training	✅	✅	✅	❌	✅	❌	✅	5
FINALLY: fast and universal speech enhancement with studio-like quality	❌	❌	✅	❌	✅	❌	✅	3
FLAME : Factuality-Aware Alignment for Large Language Models	❌	❌	✅	❌	✅	❌	✅	3
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations	❌	✅	✅	❌	✅	❌	✅	4
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models	❌	✅	✅	❌	✅	❌	❌	3
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation	❌	✅	✅	✅	✅	❌	✅	5
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection	✅	✅	✅	❌	❌	❌	✅	4
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning	✅	✅	✅	✅	✅	❌	✅	6
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features	✅	✅	✅	✅	✅	❌	✅	6
FUGAL: Feature-fortified Unrestricted Graph Alignment	✅	✅	✅	❌	✅	❌	✅	5
FUSE: Fast Unified Simulation and Estimation for PDEs	❌	✅	✅	✅	✅	❌	✅	5
Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation	❌	❌	❌	❌	✅	❌	✅	2
Facilitating Multimodal Classification via Dynamically Learning Modality Gap	✅	✅	✅	✅	✅	❌	✅	6
FactorSim: Generative Simulation via Factorized Representation	✅	✅	✅	❌	✅	❌	✅	5
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing	❌	✅	✅	❌	✅	❌	✅	4
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation	✅	❌	✅	✅	✅	❌	✅	5
Fair Allocation in Dynamic Mechanism Design	❌	✅	❌	❌	✅	❌	✅	3
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium	✅	✅	✅	❌	✅	❌	✅	5
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior	✅	✅	✅	❌	✅	❌	✅	5
Fair Kernel K-Means: from Single Kernel to Multiple Kernel	✅	✅	✅	❌	✅	❌	✅	5
Fair Online Bilateral Trade	✅	❌	❌	❌	❌	❌	❌	1
Fair Secretaries with Unfair Predictions	✅	✅	✅	❌	✅	❌	✅	5
Fair Wasserstein Coresets	✅	❌	✅	✅	✅	❌	✅	5
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty	❌	✅	✅	❌	✅	✅	✅	5
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation	❌	✅	✅	❌	✅	❌	✅	4
FairWire: Fair Graph Generation	❌	✅	✅	✅	✅	❌	✅	5
Fairness and Efficiency in Online Class Matching	✅	❌	❌	❌	❌	❌	❌	1
Fairness in Social Influence Maximization via Optimal Transport	✅	✅	✅	❌	✅	✅	✅	6
Fairness without Harm: An Influence-Guided Active Sampling Approach	✅	✅	✅	✅	❌	❌	✅	5
Fairness-Aware Estimation of Graphical Models	✅	✅	✅	❌	✅	❌	✅	5
Fairness-Aware Meta-Learning via Nash Bargaining	✅	✅	✅	✅	✅	❌	✅	6
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings	✅	✅	✅	❌	✅	❌	✅	5
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Fast Best-of-N Decoding via Speculative Rejection	✅	✅	✅	✅	✅	❌	✅	6
Fast Channel Simulation via Error-Correcting Codes	✅	✅	❌	❌	❌	❌	✅	3
Fast Encoder-Based 3D from Casual Videos via Point Track Processing	❌	❌	✅	❌	✅	❌	✅	3
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification	✅	✅	✅	✅	✅	❌	✅	6
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations	✅	❌	✅	❌	✅	❌	✅	4
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms	❌	✅	❌	❌	❌	❌	✅	2
Fast Proxy Experiment Design for Causal Effect Identification	✅	❌	✅	❌	✅	❌	✅	4
Fast Rates for Bandit PAC Multiclass Classification	✅	❌	❌	❌	❌	❌	❌	1
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets	❌	❌	❌	❌	❌	❌	❌	0
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time	✅	✅	✅	✅	✅	❌	✅	6
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization	✅	✅	✅	❌	✅	❌	✅	5
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers	✅	✅	✅	✅	✅	❌	✅	6
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference	✅	✅	✅	❌	✅	❌	✅	5
Fast samplers for Inverse Problems in Iterative Refinement models	✅	❌	✅	✅	❌	❌	✅	4
Fast yet Safe: Early-Exiting with Risk Control	✅	✅	✅	✅	✅	❌	✅	6
FastDrag: Manipulate Anything in One Step	❌	✅	✅	❌	✅	❌	✅	4
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models	❌	✅	✅	✅	✅	✅	✅	6
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints	✅	✅	✅	❌	✅	❌	✅	5
Faster Algorithms for User-Level Private Stochastic Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning	✅	✅	✅	❌	✅	❌	✅	5
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference	✅	✅	✅	❌	✅	❌	✅	5
Faster Local Solvers for Graph Diffusion Equations	✅	✅	✅	❌	✅	✅	✅	6
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level	❌	✅	✅	❌	✅	✅	✅	5
Faster Repeated Evasion Attacks in Tree Ensembles	✅	✅	✅	✅	✅	❌	✅	6
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification	✅	✅	✅	❌	✅	❌	✅	5
Fearless Stochasticity in Expectation Propagation	✅	✅	✅	❌	✅	❌	✅	5
Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification	❌	❌	✅	❌	✅	❌	✅	3
FedAvP: Augment Local Data via Shared Policy in Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation	✅	✅	✅	❌	✅	❌	✅	5
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning	✅	✅	✅	✅	✅	❌	✅	6
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning	✅	✅	✅	❌	✅	❌	✅	5
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation	✅	✅	✅	✅	✅	❌	✅	6
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction	❌	✅	✅	✅	✅	❌	✅	5
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference	❌	✅	✅	✅	✅	❌	✅	5
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning	✅	✅	✅	✅	✅	✅	✅	7
Federated Black-Box Adaptation for Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Federated Ensemble-Directed Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources	✅	✅	✅	✅	✅	✅	✅	7
Federated Graph Learning for Cross-Domain Recommendation	❌	✅	✅	❌	✅	❌	✅	4
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method	✅	✅	✅	❌	✅	❌	✅	5
Federated Learning over Connected Modes	✅	✅	✅	❌	❌	❌	✅	4
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis	✅	✅	✅	✅	✅	❌	✅	6
Federated Model Heterogeneous Matryoshka Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups	✅	❌	✅	❌	✅	❌	✅	4
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data	✅	✅	✅	❌	✅	✅	✅	6
Feedback control guides credit assignment in recurrent neural networks	❌	✅	❌	❌	✅	❌	✅	3
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation	✅	❌	✅	❌	❌	❌	✅	3
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity	✅	✅	✅	❌	✅	❌	✅	5
Fetch and Forge: Efficient Dataset Condensation for Object Detection	✅	❌	✅	❌	✅	❌	✅	4
Few-Shot Adversarial Prompt Learning on Vision-Language Models	✅	✅	✅	❌	✅	✅	✅	6
Few-Shot Diffusion Models Escape the Curse of Dimensionality	❌	❌	✅	❌	✅	❌	✅	3
Few-Shot Task Learning through Inverse Generative Modeling	❌	❌	✅	❌	✅	❌	✅	3
FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training	❌	❌	✅	✅	✅	❌	✅	4
Fight Back Against Jailbreaking via Prompt Adversarial Tuning	✅	✅	✅	❌	✅	❌	✅	5
FilterNet: Harnessing Frequency Filters for Time Series Forecasting	❌	✅	✅	✅	✅	✅	✅	6
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making	✅	✅	✅	❌	❌	❌	✅	4
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
Finding Transformer Circuits With Edge Pruning	❌	✅	✅	✅	✅	❌	✅	5
Finding good policies in average-reward Markov Decision Processes without prior knowledge	✅	❌	❌	❌	❌	❌	❌	1
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination	✅	✅	✅	✅	✅	❌	✅	6
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random	❌	✅	✅	✅	❌	❌	✅	4
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients	✅	✅	✅	❌	✅	❌	✅	5
Fine-Tuning is Fine, if Calibrated	❌	✅	✅	❌	✅	❌	✅	4
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond	❌	❌	❌	❌	❌	❌	✅	1
Fine-grained Control of Generative Data Augmentation in IoT Sensing	❌	❌	✅	✅	✅	❌	✅	4
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding	❌	❌	✅	✅	✅	❌	✅	4
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models	✅	✅	✅	❌	✅	❌	✅	5
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs	✅	✅	❌	❌	✅	❌	✅	4
First-Order Methods for Linearly Constrained Bilevel Optimization	✅	✅	❌	❌	✅	❌	✅	4
First-Order Minimax Bilevel Optimization	✅	✅	✅	✅	✅	❌	✅	6
Fisher Flow Matching for Generative Modeling over Discrete Data	✅	✅	✅	✅	✅	❌	✅	6
Fixed Confidence Best Arm Identification in the Bayesian Setting	✅	✅	❌	❌	✅	✅	✅	5
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision	✅	✅	❌	❌	✅	✅	✅	5
Flatten Anything: Unsupervised Neural Surface Parameterization	❌	✅	❌	❌	✅	❌	✅	3
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM	❌	✅	✅	✅	❌	❌	✅	4
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts	❌	✅	✅	✅	✅	❌	✅	5
FlexCap: Describe Anything in Images in Controllable Detail	❌	❌	✅	✅	❌	❌	✅	3
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation	✅	✅	✅	❌	✅	❌	✅	5
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling	✅	✅	✅	✅	✅	❌	✅	6
Flexible Context-Driven Sensory Processing in Dynamical Vision Models	❌	✅	✅	✅	✅	❌	✅	5
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals	❌	✅	✅	❌	✅	❌	✅	4
Flexible task abstractions emerge in linear networks with fast and bounded units	❌	✅	✅	❌	❌	❌	✅	3
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery	❌	✅	✅	✅	✅	❌	✅	5
Flipping-based Policy for Chance-Constrained Markov Decision Processes	✅	✅	✅	❌	✅	❌	✅	5
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching	✅	✅	✅	✅	✅	✅	✅	7
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception	❌	✅	✅	❌	✅	❌	✅	4
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions	✅	✅	✅	❌	✅	❌	✅	5
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner	✅	✅	✅	❌	✅	❌	✅	5
Focus On What Matters: Separated Models For Visual-Based RL Generalization	✅	✅	✅	✅	✅	❌	✅	6
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
FouRA: Fourier Low-Rank Adaptation	❌	❌	✅	✅	✅	❌	✅	4
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding	❌	✅	✅	✅	✅	❌	✅	5
Foundation Inference Models for Markov Jump Processes	✅	✅	✅	❌	✅	❌	✅	5
Foundations of Multivariate Distributional Reinforcement Learning	✅	❌	❌	❌	✅	❌	✅	3
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting	❌	✅	✅	✅	✅	❌	✅	5
Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion	❌	✅	✅	✅	✅	❌	✅	5
Fractal Patterns May Illuminate the Success of Next-Token Prediction	❌	❌	✅	✅	✅	❌	✅	4
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement	❌	✅	✅	✅	✅	❌	✅	5
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention	❌	✅	✅	❌	✅	❌	✅	4
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes	❌	❌	✅	❌	✅	✅	✅	4
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge	❌	❌	✅	✅	✅	✅	✅	5
FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space	❌	❌	✅	❌	✅	❌	✅	3
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Frequency-aware Generative Models for Multivariate Time Series Imputation	✅	✅	✅	❌	✅	❌	✅	5
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations	✅	❌	✅	❌	✅	✅	✅	5
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching	❌	❌	✅	❌	✅	❌	✅	3
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach	✅	✅	✅	✅	✅	✅	✅	7
From Causal to Concept-Based Representation Learning	✅	✅	✅	❌	✅	❌	✅	5
From Chaos to Clarity: 3DGS in the Dark	❌	❌	✅	✅	✅	❌	✅	4
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement	✅	✅	✅	❌	✅	✅	✅	6
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions	✅	✅	✅	✅	✅	✅	✅	7
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization	✅	❌	❌	❌	❌	❌	❌	1
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection	❌	✅	✅	❌	✅	❌	✅	4
From Similarity to Superiority: Channel Clustering for Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS	❌	✅	✅	❌	✅	❌	✅	4
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When	❌	✅	✅	✅	❌	❌	✅	4
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos	❌	✅	❌	✅	✅	❌	✅	4
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models	❌	❌	✅	✅	✅	❌	✅	4
Frustratingly Easy Test-Time Adaptation of Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
Full-Atom Peptide Design with Geometric Latent Diffusion	✅	✅	✅	✅	❌	❌	✅	5
Full-Distance Evasion of Pedestrian Detectors in the Physical World	❌	✅	✅	✅	❌	❌	❌	3
Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products	❌	✅	✅	❌	✅	❌	✅	4
Fully Explicit Dynamic Gaussian Splatting	❌	✅	✅	✅	✅	❌	✅	5
Fully Unconstrained Online Learning	✅	❌	❌	❌	❌	❌	❌	1
Functional Bilevel Optimization for Machine Learning	✅	✅	✅	✅	✅	❌	✅	6
Functional Gradient Flows for Constrained Sampling	✅	✅	✅	❌	✅	❌	✅	5
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem	✅	❌	✅	✅	✅	✅	✅	6
Fundamental Convergence Analysis of Sharpness-Aware Minimization	✅	❌	✅	✅	✅	❌	✅	5
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models	✅	✅	✅	✅	✅	❌	✅	6
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images	❌	✅	✅	❌	✅	✅	✅	5
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion	✅	✅	✅	❌	✅	❌	✅	5
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion	❌	✅	✅	✅	✅	❌	✅	5
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering	❌	✅	✅	✅	✅	✅	✅	6
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training	❌	✅	✅	✅	✅	❌	✅	5
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models	❌	✅	✅	❌	✅	❌	✅	4
GACL: Exemplar-Free Generalized Analytic Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance	❌	✅	✅	✅	✅	❌	✅	5
GAVEL: Generating Games via Evolution and Language Models	✅	✅	✅	✅	✅	❌	✅	6
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning	✅	✅	✅	✅	✅	❌	✅	6
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics	✅	✅	✅	❌	❌	❌	✅	4
GFT: Graph Foundation Model with Transferable Tree Vocabulary	❌	✅	✅	✅	✅	❌	✅	5
GFlowNet Assisted Biological Sequence Editing	✅	❌	✅	✅	✅	❌	✅	5
GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation	✅	❌	✅	❌	✅	❌	✅	4
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning	❌	✅	✅	✅	✅	❌	✅	5
GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration	✅	✅	✅	❌	✅	❌	✅	5
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent	✅	✅	✅	✅	✅	✅	✅	7
GO4Align: Group Optimization for Multi-Task Alignment	✅	✅	✅	✅	✅	❌	✅	6
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization	❌	✅	✅	✅	✅	❌	✅	5
GRANOLA: Adaptive Normalization for Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models	✅	✅	✅	❌	✅	❌	✅	5
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration	✅	✅	✅	❌	❌	❌	✅	4
GS-Hider: Hiding Messages into 3D Gaussian Splatting	❌	❌	✅	❌	✅	❌	✅	3
GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction	❌	❌	✅	❌	✅	❌	✅	3
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats	❌	✅	✅	❌	✅	❌	✅	4
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations	❌	✅	❌	❌	❌	❌	✅	2
GUIDE: Real-Time Human-Shaped Agents	❌	✅	✅	✅	✅	❌	✅	5
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes	❌	✅	✅	❌	❌	❌	✅	3
GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation	❌	❌	✅	✅	✅	❌	✅	4
Gated Inference Network: Inference and Learning State-Space Models	✅	✅	✅	❌	✅	❌	✅	5
Gated Slot Attention for Efficient Linear-Time Sequence Modeling	✅	✅	✅	❌	✅	✅	✅	6
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning	❌	✅	✅	❌	✅	❌	✅	4
Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images	✅	❌	✅	❌	✅	❌	✅	4
Gaussian Process Bandits for Top-k Recommendations	✅	❌	✅	✅	✅	❌	✅	5
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling	❌	✅	✅	❌	✅	❌	✅	4
GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting	❌	✅	✅	✅	✅	❌	✅	5
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing	❌	✅	✅	❌	✅	❌	✅	4
GenRL: Multimodal-foundation world models for generalization in embodied agents	❌	✅	✅	❌	✅	❌	✅	4
GenRec: Unifying Video Generation and Recognition with Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping	❌	✅	✅	❌	✅	✅	✅	5
Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation	❌	✅	✅	❌	✅	❌	✅	4
General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process	✅	✅	✅	❌	✅	✅	✅	6
General Detection-based Text Line Recognition	❌	✅	✅	✅	✅	❌	✅	5
General bounds on the quality of Bayesian coresets	✅	❌	❌	❌	✅	❌	✅	3
Generalizable Implicit Motion Modeling for Video Frame Interpolation	❌	❌	✅	❌	✅	❌	✅	3
Generalizable Person Re-identification via Balancing Alignment and Uniformity	❌	✅	✅	❌	✅	❌	✅	4
Generalizable and Animatable Gaussian Head Avatar	❌	✅	✅	✅	✅	❌	✅	5
Generalizablity of Memorization Neural Network	❌	✅	✅	❌	✅	❌	✅	4
Generalization Analysis for Label-Specific Representation Learning	❌	❌	❌	❌	❌	❌	❌	0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming	❌	✅	✅	❌	✅	✅	✅	5
Generalization Bounds via Conditional $f$-Information	❌	✅	✅	❌	✅	❌	✅	4
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure	❌	✅	✅	✅	✅	❌	✅	5
Generalization of Hamiltonian algorithms	❌	❌	❌	❌	❌	❌	❌	0
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts	❌	✅	✅	✅	✅	❌	✅	5
Generalized Eigenvalue Problems with Generative Priors	✅	❌	✅	❌	✅	✅	✅	5
Generalized Fast Exact Conformalization	✅	❌	✅	✅	✅	❌	✅	5
Generalized Linear Bandits with Limited Adaptivity	✅	✅	❌	❌	✅	❌	✅	4
Generalized Protein Pocket Generation with Prior-Informed Flow Matching	❌	✅	✅	✅	✅	❌	✅	5
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts	✅	✅	❌	❌	✅	❌	✅	4
Generalizing CNNs to graphs with learnable neighborhood quantization	✅	✅	✅	✅	✅	❌	✅	6
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization	✅	✅	✅	❌	✅	❌	✅	5
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling	✅	✅	✅	✅	✅	❌	✅	6
Generate Universal Adversarial Perturbations for Few-Shot Learning	❌	✅	✅	✅	❌	❌	✅	4
Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation	❌	❌	✅	✅	✅	❌	✅	4
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search	❌	✅	✅	❌	✅	✅	✅	5
Generating Highly Designable Proteins with Geometric Algebra Flow Matching	✅	✅	✅	❌	✅	❌	✅	5
Generating Origin-Destination Matrices in Neural Spatial Interaction Models	✅	✅	✅	✅	✅	❌	✅	6
Generating compositional scenes via Text-to-image RGBA Instance Generation	✅	❌	✅	❌	❌	❌	✅	3
Generative Adversarial Model-Based Optimization via Source Critic Regularization	✅	✅	✅	✅	✅	❌	✅	6
Generative Forests	✅	✅	✅	✅	✅	✅	✅	7
Generative Fractional Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Generative Hierarchical Materials Search	✅	❌	✅	❌	✅	❌	✅	4
Generative Modeling of Molecular Dynamics Trajectories	✅	✅	✅	✅	✅	❌	✅	6
Generative Modelling of Structurally Constrained Graphs	✅	✅	✅	✅	✅	❌	✅	6
Generative Retrieval Meets Multi-Graded Relevance	❌	✅	✅	✅	✅	✅	✅	6
Generative Semi-supervised Graph Anomaly Detection	✅	✅	✅	❌	✅	✅	✅	6
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization	✅	✅	✅	❌	✅	❌	✅	5
GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation	❌	✅	✅	❌	✅	❌	✅	4
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields	❌	✅	✅	✅	❌	❌	✅	4
Geodesic Optimization for Predictive Shift Adaptation on EEG data	✅	✅	✅	✅	✅	✅	✅	7
Geometric Analysis of Nonlinear Manifold Clustering	✅	✅	✅	❌	✅	❌	✅	5
Geometric Exploitation for Indoor Panoramic Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Geometric Trajectory Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Geometric-Averaged Preference Optimization for Soft Preference Labels	❌	❌	✅	❌	✅	❌	✅	3
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures	✅	✅	✅	✅	✅	✅	✅	7
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images	✅	✅	✅	❌	✅	❌	✅	5
Geometry of naturalistic object representations in recurrent neural network models of working memory	❌	❌	✅	✅	❌	❌	✅	3
Geometry-aware training of factorized layers in tensor Tucker format	✅	✅	✅	✅	✅	❌	✅	6
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework	✅	✅	✅	✅	✅	❌	✅	6
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning	❌	✅	✅	❌	✅	❌	✅	4
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment	✅	✅	✅	❌	✅	❌	✅	5
Gliding over the Pareto Front with Uniform Designs	✅	✅	✅	❌	✅	❌	✅	5
Global Convergence in Training Large-Scale Transformers	❌	❌	✅	❌	❌	❌	✅	2
Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems	❌	✅	❌	❌	✅	❌	✅	3
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers	❌	❌	❌	❌	✅	❌	✅	2
Global Rewards in Restless Multi-Armed Bandits	✅	✅	❌	❌	✅	❌	✅	4
Globally Convergent Variational Inference	❌	✅	✅	❌	✅	❌	✅	4
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing	✅	✅	❌	❌	✅	❌	✅	4
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching	❌	✅	✅	❌	✅	❌	✅	4
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning	❌	❌	✅	✅	✅	❌	✅	4
Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning	✅	✅	✅	❌	✅	❌	✅	5
Goal-Conditioned On-Policy Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint	✅	✅	✅	❌	✅	❌	✅	5
Gorilla: Large Language Model Connected with Massive APIs	❌	✅	✅	❌	✅	❌	✅	4
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes	✅	❌	✅	✅	✅	❌	✅	5
Gradient Guidance for Diffusion Models: An Optimization Perspective	✅	✅	✅	❌	✅	❌	✅	5
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints	✅	❌	❌	❌	❌	❌	❌	1
Gradient Rewiring for Editable Graph Neural Network Training	✅	✅	✅	✅	✅	✅	✅	7
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization	✅	❌	✅	❌	❌	❌	✅	3
Gradient-Variation Online Learning under Generalized Smoothness	✅	❌	❌	❌	❌	❌	❌	1
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling	✅	✅	✅	✅	✅	❌	✅	6
Gradient-free Decoder Inversion in Latent Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Gradients of Functions of Large Matrices	✅	✅	✅	❌	✅	❌	✅	5
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization	✅	✅	✅	✅	❌	❌	✅	5
Grammar-Aligned Decoding	✅	✅	✅	✅	✅	✅	✅	7
Graph Classification via Reference Distribution Learning: Theory and Practice	✅	✅	✅	✅	✅	❌	✅	6
Graph Coarsening with Message-Passing Guarantees	✅	✅	✅	✅	❌	❌	✅	5
Graph Convolutions Enrich the Self-Attention in Transformers!	✅	✅	✅	✅	✅	❌	✅	6
Graph Diffusion Policy Optimization	✅	✅	✅	✅	✅	❌	✅	6
Graph Diffusion Transformers for Multi-Conditional Molecular Generation	❌	✅	✅	✅	✅	❌	❌	4
Graph Edit Distance with General Costs Using Neural Set Divergence	✅	✅	✅	✅	✅	✅	✅	7
Graph Learning for Numeric Planning	✅	✅	✅	❌	✅	❌	✅	5
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series	✅	✅	✅	✅	✅	❌	✅	6
Graph Neural Networks Do Not Always Oversmooth	❌	✅	✅	❌	❌	❌	✅	3
Graph Neural Networks Need Cluster-Normalize-Activate Modules	❌	✅	✅	✅	✅	❌	✅	5
Graph Neural Networks and Arithmetic Circuits	❌	❌	❌	❌	❌	❌	❌	0
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention	❌	✅	❌	❌	✅	✅	✅	4
Graph neural networks and non-commuting operators	❌	✅	✅	❌	✅	❌	✅	4
Graph-based Uncertainty Metrics for Long-form Language Model Generations	❌	✅	✅	✅	✅	❌	✅	5
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution	✅	✅	✅	✅	✅	❌	✅	6
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction	❌	✅	✅	❌	✅	❌	✅	4
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts	❌	✅	✅	✅	❌	❌	✅	4
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs	✅	❌	✅	✅	✅	❌	✅	5
GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules	❌	✅	✅	✅	✅	❌	✅	5
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration	✅	✅	✅	❌	✅	❌	✅	5
Graphcode: Learning from multiparameter persistent homology using graph neural networks	❌	✅	✅	❌	✅	❌	❌	3
Grasp as You Say: Language-guided Dexterous Grasp Generation	❌	❌	✅	✅	✅	❌	✅	4
Great Minds Think Alike: The Universal Convergence Trend of Input Salience	❌	✅	✅	❌	✅	❌	✅	4
Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting	❌	❌	✅	❌	✅	❌	✅	3
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization	❌	✅	✅	✅	✅	❌	✅	5
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation	✅	❌	✅	❌	✅	❌	✅	4
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model	❌	❌	✅	❌	✅	❌	✅	3
Grounding Multimodal Large Language Models in Actions	❌	❌	✅	✅	✅	❌	✅	4
Group Robust Preference Optimization in Reward-free RLHF	✅	✅	✅	✅	✅	❌	✅	6
Group and Shuffle: Efficient Structured Orthogonal Parametrization	✅	✅	✅	✅	✅	❌	✅	6
Group-wise oracle-efficient algorithms for online multi-group learning	✅	❌	❌	❌	❌	❌	❌	1
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts	✅	✅	✅	❌	✅	❌	✅	5
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization	✅	✅	✅	❌	✅	❌	✅	5
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame	❌	✅	✅	❌	✅	❌	✅	4
Guiding a Diffusion Model with a Bad Version of Itself	✅	✅	✅	❌	✅	✅	✅	6
HAWK: Learning to Understand Open-World Video Anomalies	❌	✅	✅	❌	✅	❌	✅	4
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning	❌	✅	✅	✅	❌	❌	✅	4
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data	✅	✅	✅	✅	✅	❌	✅	6
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model	❌	❌	✅	❌	✅	❌	✅	3
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning	✅	✅	✅	✅	✅	❌	✅	6
HGDL: Heterogeneous Graph Label Distribution Learning	✅	✅	✅	✅	❌	❌	✅	5
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems	❌	❌	✅	❌	✅	❌	✅	3
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction	❌	✅	✅	❌	✅	✅	✅	5
HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness	❌	✅	✅	✅	✅	❌	✅	5
HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods	✅	✅	✅	❌	✅	❌	✅	5
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection	✅	✅	✅	✅	✅	❌	✅	6
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning	❌	✅	✅	✅	✅	❌	✅	5
HYDRA: Model Factorization Framework for Black-Box LLM Personalization	✅	✅	✅	✅	✅	✅	✅	7
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis	✅	✅	✅	❌	❌	❌	✅	4
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion	❌	❌	✅	❌	✅	✅	✅	4
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach	❌	✅	✅	❌	✅	❌	✅	4
Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation	❌	❌	✅	❌	✅	❌	✅	3
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection	❌	✅	✅	✅	✅	✅	✅	6
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba	✅	✅	✅	❌	✅	❌	✅	5
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models	✅	✅	✅	❌	✅	❌	✅	5
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient	❌	❌	✅	❌	❌	❌	✅	2
Hamiltonian Score Matching and Generative Flows	❌	❌	✅	❌	✅	❌	✅	3
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation	✅	✅	✅	✅	✅	✅	✅	7
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery	✅	✅	✅	❌	✅	❌	✅	5
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation	✅	✅	✅	✅	✅	❌	✅	6
Hardness of Learning Neural Networks under the Manifold Hypothesis	❌	✅	✅	❌	✅	❌	✅	4
Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction	✅	✅	✅	❌	✅	❌	✅	5
Harmonizing Visual Text Comprehension and Generation	❌	✅	✅	✅	✅	❌	✅	5
Harnessing Multiple Correlated Networks for Exact Community Recovery	✅	❌	❌	❌	❌	❌	❌	1
Harnessing small projectors and multiple views for efficient vision pretraining	❌	✅	✅	❌	✅	❌	✅	4
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models	❌	✅	✅	✅	✅	❌	✅	5
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning	✅	❌	✅	❌	❌	❌	✅	3
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation	❌	❌	✅	❌	✅	❌	✅	3
HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
Hierarchical Federated Learning with Multi-Timescale Gradient Correction	✅	✅	✅	✅	✅	❌	✅	6
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions	❌	✅	✅	❌	✅	❌	✅	4
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching	❌	✅	✅	✅	✅	❌	✅	5
Hierarchical Programmatic Option Framework	✅	❌	✅	✅	✅	❌	✅	5
Hierarchical Selective Classification	✅	✅	✅	✅	✅	✅	✅	7
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees	✅	✅	✅	❌	✅	❌	✅	5
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding	✅	❌	✅	✅	✅	❌	✅	5
Hierarchical and Density-based Causal Clustering	❌	❌	✅	❌	❌	❌	✅	2
Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure	✅	✅	✅	✅	✅	✅	✅	7
High Rank Path Development: an approach to learning the filtration of stochastic processes	✅	✅	✅	❌	✅	✅	✅	6
High-Resolution Image Harmonization with Adaptive-Interval Color Transformation	❌	✅	✅	❌	✅	❌	✅	4
High-dimensional (Group) Adversarial Training in Linear Regression	❌	✅	❌	❌	❌	❌	✅	2
High-probability complexity bounds for stochastic non-convex minimax optimization	✅	✅	✅	❌	✅	❌	✅	5
Higher-Order Causal Message Passing for Experimentation with Complex Interference	✅	✅	✅	❌	✅	❌	✅	5
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing	❌	✅	✅	✅	✅	❌	✅	5
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Historical Test-time Prompt Tuning for Vision Foundation Models	✅	❌	✅	❌	✅	❌	✅	4
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models	❌	❌	✅	❌	❌	❌	✅	2
Homology Consistency Constrained Efficient Tuning for Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
HonestLLM: Toward an Honest and Helpful Large Language Model	✅	✅	✅	✅	✅	❌	✅	6
Honor Among Bandits: No-Regret Learning for Online Fair Division	✅	❌	❌	❌	❌	❌	❌	1
How Control Information Influences Multilingual Text Image Generation and Editing?	❌	✅	✅	❌	✅	❌	✅	4
How Diffusion Models Learn to Factorize and Compose	❌	❌	❌	❌	✅	❌	✅	2
How Do Large Language Models Acquire Factual Knowledge During Pretraining?	❌	✅	✅	❌	✅	❌	✅	4
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?	✅	❌	❌	❌	❌	❌	❌	1
How Does Message Passing Improve Collaborative Filtering?	❌	✅	✅	✅	✅	❌	✅	5
How Does Variance Shape the Regret in Contextual Bandits?	✅	❌	❌	❌	❌	❌	❌	1
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad	❌	✅	✅	❌	✅	❌	✅	4
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks	❌	❌	❌	❌	❌	❌	✅	1
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval	✅	❌	✅	✅	✅	❌	✅	5
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective	✅	✅	✅	✅	✅	✅	✅	7
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression	✅	❌	❌	❌	✅	❌	✅	3
How do Large Language Models Handle Multilingualism?	❌	✅	✅	❌	❌	❌	✅	3
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers	❌	❌	✅	❌	✅	❌	✅	3
How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks	✅	❌	❌	❌	❌	❌	❌	1
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach	✅	❌	❌	❌	❌	❌	❌	1
How does PDE order affect the convergence of PINNs?	❌	✅	❌	❌	✅	❌	✅	3
How many classifiers do we need?	❌	❌	✅	❌	❌	❌	✅	2
How to Boost Any Loss Function	✅	❌	✅	✅	❌	❌	✅	4
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?	✅	✅	❌	❌	✅	❌	✅	4
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?	✅	✅	✅	❌	✅	❌	✅	5
How to Use Diffusion Priors under Sparse Views?	❌	✅	✅	❌	✅	✅	✅	5
HuRef: HUman-REadable Fingerprint for Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Human Expertise in Algorithmic Prediction	✅	✅	✅	❌	❌	❌	❌	3
Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models	❌	✅	✅	✅	✅	✅	✅	6
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors	❌	✅	✅	❌	✅	❌	✅	4
HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid	❌	✅	✅	❌	✅	❌	✅	4
Humanoid Locomotion as Next Token Prediction	❌	❌	✅	❌	✅	❌	✅	3
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability	❌	✅	✅	✅	✅	❌	✅	5
Hybrid Mamba for Few-Shot Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs	✅	✅	❌	❌	✅	❌	✅	4
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models	✅	✅	✅	❌	✅	❌	✅	5
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers	✅	✅	✅	✅	❌	❌	✅	5
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning	❌	✅	✅	✅	✅	❌	✅	5
HydraViT: Stacking Heads for a Scalable ViT	✅	✅	✅	❌	✅	❌	✅	5
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis	✅	✅	✅	❌	✅	❌	✅	5
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection	❌	✅	✅	✅	✅	❌	✅	5
HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets	❌	✅	✅	✅	✅	❌	✅	5
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links	✅	✅	✅	❌	✅	❌	✅	5
Hyperbolic Embeddings of Supervised Models	✅	✅	✅	✅	❌	❌	✅	5
Hypothesis Testing the Circuit Hypothesis in LLMs	✅	✅	✅	✅	✅	❌	✅	6
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token	❌	✅	✅	❌	✅	❌	✅	4
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing	❌	✅	✅	❌	❌	❌	❌	2
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling	❌	✅	✅	✅	✅	✅	✅	6
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation	❌	✅	✅	❌	❌	❌	✅	3
IF-Font: Ideographic Description Sequence-Following Font Generation	❌	✅	❌	❌	✅	❌	✅	3
IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation	❌	✅	✅	✅	✅	✅	✅	6
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness	❌	✅	✅	✅	✅	❌	✅	5
IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution	❌	✅	✅	❌	✅	❌	✅	4
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs	✅	✅	✅	✅	✅	✅	✅	7
IPO: Interpretable Prompt Optimization for Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering	❌	✅	✅	❌	❌	❌	✅	3
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model	✅	✅	✅	❌	✅	❌	✅	5
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons	❌	✅	✅	✅	✅	❌	✅	5
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing	✅	✅	✅	✅	✅	❌	✅	6
Identifiability Analysis of Linear ODE Systems with Hidden Confounders	❌	✅	❌	❌	❌	❌	✅	2
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data	✅	✅	❌	❌	✅	❌	✅	4
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention	✅	✅	✅	❌	❌	❌	✅	4
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures	❌	✅	✅	✅	✅	❌	✅	5
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments	✅	✅	✅	❌	✅	❌	✅	5
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees	❌	✅	❌	❌	❌	❌	✅	2
Identify Then Recommend: Towards Unsupervised Group Recommendation	✅	✅	✅	❌	✅	❌	✅	5
Identifying Causal Effects Under Functional Dependencies	❌	❌	❌	❌	❌	❌	❌	0
Identifying Equivalent Training Dynamics	✅	✅	✅	❌	✅	❌	✅	5
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning	❌	✅	✅	❌	✅	❌	✅	4
Identifying General Mechanism Shifts in Linear Causal Representations	✅	✅	✅	❌	❌	❌	✅	4
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
Identifying Selections for Unsupervised Subtask Discovery	✅	✅	✅	❌	✅	❌	✅	5
Identifying Spatio-Temporal Drivers of Extreme Events	❌	✅	✅	✅	✅	❌	✅	5
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model	✅	✅	✅	❌	✅	❌	✅	5
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models	✅	✅	✅	❌	✅	❌	✅	5
Idiographic Personality Gaussian Process for Psychological Assessment	❌	✅	✅	✅	✅	❌	✅	5
If You Want to Be Robust, Be Wary of Initialization	❌	✅	✅	✅	✅	❌	✅	5
IllumiNeRF: 3D Relighting Without Inverse Rendering	❌	❌	✅	❌	✅	❌	✅	3
ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images	❌	✅	✅	✅	❌	❌	✅	4
Image Copy Detection for Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Image Reconstruction Via Autoencoding Sequential Deep Image Prior	✅	✅	✅	❌	✅	❌	✅	5
Image Understanding Makes for A Good Tokenizer for Image Generation	❌	✅	✅	✅	✅	❌	✅	5
Image-aware Evaluation of Generated Medical Reports	❌	❌	✅	✅	❌	❌	❌	2
Images that Sound: Composing Images and Sounds on a Single Canvas	✅	✅	✅	❌	✅	❌	✅	5
Imitating Language via Scalable Inverse Reinforcement Learning	❌	❌	✅	✅	✅	❌	✅	4
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment	✅	✅	✅	❌	✅	❌	✅	5
Implicit Bias of Mirror Flow on Separable Data	❌	❌	❌	❌	❌	❌	✅	1
Implicit Curriculum in Procgen Made Explicit	❌	✅	✅	❌	✅	❌	✅	4
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs	❌	✅	✅	✅	✅	❌	✅	5
Implicit Optimization Bias of Next-token Prediction in Linear Models	❌	❌	❌	❌	✅	❌	✅	2
Implicit Regularization Paths of Weighted Neural Representations	✅	✅	✅	✅	❌	❌	✅	5
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression	❌	❌	✅	✅	✅	❌	✅	4
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems	✅	✅	✅	✅	✅	❌	✅	6
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient	❌	✅	❌	❌	❌	❌	✅	2
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations	❌	✅	✅	✅	✅	❌	✅	5
Improved Algorithms for Contextual Dynamic Pricing	✅	✅	❌	❌	✅	❌	✅	4
Improved Analysis for Bandit Learning in Matching Markets	✅	✅	❌	❌	❌	❌	✅	3
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms	✅	✅	❌	❌	✅	✅	✅	5
Improved Distribution Matching Distillation for Fast Image Synthesis	✅	✅	✅	❌	✅	❌	✅	5
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses	✅	✅	✅	✅	✅	❌	✅	6
Improved Generation of Adversarial Examples Against Safety-aligned LLMs	❌	✅	✅	✅	✅	❌	✅	5
Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces	✅	❌	❌	❌	❌	❌	❌	1
Improved Particle Approximation Error for Mean Field Neural Networks	❌	❌	❌	❌	❌	❌	❌	0
Improved Regret for Bandit Convex Optimization with Delayed Feedback	✅	❌	✅	❌	✅	❌	✅	4
Improved Regret of Linear Ensemble Sampling	✅	❌	❌	❌	❌	❌	❌	1
Improved Sample Complexity Bounds for Diffusion Model Training	✅	❌	❌	❌	❌	❌	❌	1
Improved Sample Complexity for Multiclass PAC Learning	✅	❌	❌	❌	❌	❌	❌	1
Improved learning rates in multi-unit uniform price auctions	✅	❌	❌	❌	❌	❌	❌	1
Improved off-policy training of diffusion samplers	✅	✅	✅	❌	✅	❌	✅	5
Improving Adaptivity via Over-Parameterization in Sequence Models	❌	✅	❌	❌	✅	❌	✅	3
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation	✅	✅	✅	❌	✅	❌	✅	5
Improving Alignment and Robustness with Circuit Breakers	✅	✅	✅	✅	✅	❌	✅	6
Improving Context-Aware Preference Modeling for Language Models	❌	❌	✅	❌	✅	❌	✅	3
Improving Decision Sparsity	✅	✅	✅	❌	✅	❌	✅	5
Improving Deep Learning Optimization through Constrained Parameter Regularization	✅	✅	✅	✅	✅	❌	✅	6
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn	✅	✅	✅	❌	✅	❌	✅	5
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design	✅	❌	✅	❌	✅	❌	✅	4
Improving Equivariant Model Training via Constraint Relaxation	❌	✅	✅	✅	✅	❌	✅	5
Improving Generalization and Convergence by Enhancing Implicit Regularization	✅	✅	✅	❌	✅	❌	✅	5
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach	✅	✅	✅	❌	✅	✅	✅	6
Improving Generalization of Dynamic Graph Learning via Environment Prompt	✅	✅	✅	✅	✅	✅	✅	7
Improving Gloss-free Sign Language Translation by Reducing Representation Density	❌	✅	✅	❌	✅	❌	✅	4
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes	✅	✅	✅	✅	✅	❌	✅	6
Improving Neural Network Surface Processing with Principal Curvatures	❌	✅	✅	✅	✅	❌	✅	5
Improving Neural ODE Training with Temporal Adaptive Batch Normalization	✅	✅	✅	❌	✅	❌	✅	5
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective	❌	✅	✅	✅	✅	❌	✅	5
Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders	✅	❌	❌	❌	✅	❌	✅	3
Improving Subgroup Robustness via Data Selection	❌	✅	✅	✅	✅	❌	✅	5
Improving Temporal Link Prediction via Temporal Walk Matrix Projection	✅	✅	✅	✅	✅	❌	✅	6
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection	✅	✅	✅	✅	✅	❌	✅	6
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition	✅	✅	✅	❌	✅	❌	✅	5
Improving robustness to corruptions with multiplicative weight perturbations	✅	✅	✅	✅	✅	❌	✅	6
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees	❌	✅	✅	✅	✅	❌	✅	5
Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting	✅	❌	✅	✅	❌	❌	✅	4
Improving the Training of Rectified Flows	✅	✅	✅	❌	✅	❌	✅	5
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity	✅	✅	✅	❌	✅	❌	✅	5
In Pursuit of Causal Label Correlations for Multi-label Image Recognition	✅	❌	✅	✅	✅	❌	✅	5
In-Context Learning State Vector with Inner and Momentum Optimization	❌	✅	✅	✅	✅	❌	✅	5
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization	❌	❌	✅	❌	❌	✅	✅	3
In-Context Learning with Representations: Contextual Generalization of Trained Transformers	❌	❌	❌	❌	❌	❌	✅	1
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness	❌	✅	❌	❌	❌	❌	✅	2
In-Context Symmetries: Self-Supervised Learning through Contextual World Models	❌	❌	✅	✅	✅	❌	✅	4
In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment	❌	❌	✅	❌	✅	❌	✅	3
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates	✅	✅	✅	❌	✅	❌	✅	5
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies	✅	❌	❌	❌	❌	❌	❌	1
Incentivizing Quality Text Generation via Statistical Contracts	❌	✅	✅	❌	✅	❌	❌	3
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques	✅	✅	✅	❌	✅	✅	✅	6
Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery	✅	✅	✅	❌	✅	❌	✅	5
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation	✅	✅	✅	❌	✅	✅	✅	6
Induced Model Matching: Restricted Models Help Train Full-Featured Models	✅	✅	✅	✅	✅	❌	✅	6
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse	❌	✅	✅	❌	❌	❌	✅	3
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models	✅	✅	✅	❌	✅	❌	❌	4
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence	❌	❌	✅	❌	✅	✅	✅	4
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory	❌	✅	✅	❌	✅	❌	✅	4
Inference of Neural Dynamics Using Switching Recurrent Neural Networks	❌	✅	✅	✅	✅	✅	✅	6
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference	❌	✅	✅	❌	✅	❌	✅	4
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors	❌	✅	✅	✅	❌	❌	✅	4
Inferring stochastic low-rank recurrent neural networks from neural data	✅	✅	✅	✅	✅	❌	✅	6
Infinite Limits of Multi-head Transformer Dynamics	✅	✅	✅	❌	✅	❌	✅	5
Infinite-Dimensional Feature Interaction	❌	❌	✅	✅	✅	❌	✅	4
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models	✅	✅	✅	✅	✅	❌	✅	6
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling	✅	✅	✅	✅	✅	❌	✅	6
Information Re-Organization Improves Reasoning in Large Language Models	❌	✅	✅	❌	✅	✅	✅	5
Information-theoretic Generalization Analysis for Expected Calibration Error	❌	✅	✅	❌	✅	❌	✅	4
Information-theoretic Limits of Online Classification with Noisy Labels	✅	❌	❌	❌	❌	❌	❌	1
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models	❌	✅	✅	✅	✅	❌	✅	5
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing	❌	✅	✅	❌	✅	❌	✅	4
Initializing Services in Interactive ML Systems for Diverse Users	✅	✅	✅	❌	❌	❌	❌	3
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation	❌	✅	✅	✅	✅	❌	✅	5
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models	❌	❌	❌	❌	❌	❌	❌	0
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space	✅	✅	✅	✅	✅	❌	✅	6
Instance-Optimal Private Density Estimation in the Wasserstein Distance	✅	❌	✅	❌	❌	❌	✅	3
Instance-Specific Asymmetric Sensitivity in Differential Privacy	✅	❌	✅	❌	❌	❌	✅	3
Instance-adaptive Zero-shot Chain-of-Thought Prompting	❌	❌	✅	❌	✅	❌	✅	3
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs	❌	✅	✅	❌	✅	✅	✅	5
Instruction Tuning With Loss Over Instructions	❌	✅	✅	❌	✅	❌	✅	4
Instruction-Guided Visual Masking	❌	✅	✅	✅	✅	❌	✅	5
Instructor-inspired Machine Learning for Robust Molecular Property Prediction	✅	❌	✅	✅	✅	❌	✅	5
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion	❌	✅	❌	✅	✅	✅	✅	5
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems	✅	✅	✅	❌	✅	❌	✅	5
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint	✅	✅	✅	✅	✅	❌	✅	6
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction	❌	❌	✅	❌	✅	❌	✅	3
Interaction-Force Transport Gradient Flows	✅	✅	✅	❌	❌	❌	✅	4
Interactive Deep Clustering via Value Mining	✅	✅	✅	❌	✅	✅	✅	6
Interfacing Foundation Models' Embeddings	✅	✅	✅	❌	❌	❌	✅	4
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD	❌	✅	✅	✅	✅	❌	✅	5
Interpolating Item and User Fairness in Multi-Sided Recommendations	✅	✅	✅	❌	✅	❌	✅	5
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification	❌	✅	✅	✅	✅	❌	✅	5
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents	❌	✅	✅	✅	✅	❌	✅	5
Interpretable Concept-Based Memory Reasoning	❌	✅	✅	✅	✅	✅	✅	6
Interpretable Generalized Additive Models for Datasets with Missing Values	❌	✅	✅	✅	✅	❌	✅	5
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers	✅	✅	✅	❌	✅	❌	✅	5
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors	❌	❌	✅	✅	✅	✅	✅	5
Interpretable Mesomorphic Networks for Tabular Data	❌	✅	✅	✅	✅	❌	✅	5
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)	❌	✅	✅	✅	✅	❌	✅	5
Interpreting Learned Feedback Patterns in Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge	❌	✅	✅	✅	✅	❌	✅	5
Interpreting the Weight Space of Customized Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
Intervention and Conditioning in Causal Bayesian Networks	❌	❌	❌	❌	❌	❌	❌	0
Interventional Causal Discovery in a Mixture of DAGs	✅	✅	❌	❌	✅	❌	✅	4
Interventionally Consistent Surrogates for Complex Simulation Models	✅	✅	❌	✅	✅	❌	✅	5
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors	✅	✅	✅	✅	✅	❌	✅	6
Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling	❌	❌	❌	❌	❌	❌	❌	0
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity	✅	✅	✅	✅	✅	✅	✅	7
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level	✅	✅	✅	✅	✅	❌	✅	6
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation	❌	❌	✅	✅	✅	❌	✅	4
Invariant subspaces and PCA in nearly matrix multiplication time	✅	❌	❌	❌	❌	❌	❌	1
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning	✅	✅	✅	❌	✅	❌	✅	5
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions	❌	✅	✅	✅	✅	✅	✅	6
Inversion-based Latent Bayesian Optimization	✅	✅	✅	❌	✅	✅	✅	6
InversionView: A General-Purpose Method for Reading Information from Neural Activations	❌	✅	✅	✅	✅	❌	✅	5
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps	❌	✅	✅	❌	✅	❌	✅	4
Invisible Image Watermarks Are Provably Removable Using Generative AI	✅	✅	✅	❌	✅	❌	✅	5
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models	❌	✅	✅	❌	✅	✅	✅	5
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning	❌	❌	✅	❌	✅	❌	✅	3
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?	❌	✅	✅	✅	✅	❌	✅	5
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions	❌	❌	❌	❌	❌	❌	❌	0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?	❌	✅	✅	❌	✅	✅	✅	5
Is Multiple Object Tracking a Matter of Specialization?	❌	✅	✅	✅	✅	❌	✅	5
Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL	✅	❌	❌	❌	❌	❌	❌	1
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.	❌	✅	✅	❌	✅	❌	✅	4
Is Programming by Example Solved by LLMs?	❌	❌	✅	❌	✅	✅	✅	4
Is Score Matching Suitable for Estimating Point Processes?	❌	✅	✅	✅	✅	❌	✅	5
Is Value Learning Really the Main Bottleneck in Offline RL?	❌	✅	✅	✅	✅	❌	✅	5
Is Your LiDAR Placement Optimized for 3D Scene Understanding?	✅	✅	✅	✅	✅	❌	✅	6
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization	✅	✅	✅	✅	✅	❌	✅	6
Iteration Head: A Mechanistic Study of Chain-of-Thought	✅	✅	❌	❌	✅	❌	✅	4
Iterative Methods via Locally Evolving Set Process	✅	✅	✅	❌	✅	✅	✅	6
Iterative Reasoning Preference Optimization	❌	❌	✅	✅	✅	❌	✅	4
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval	❌	✅	✅	✅	✅	✅	✅	6
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters	✅	✅	✅	❌	✅	❌	✅	5
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models	❌	✅	✅	❌	✅	✅	✅	5
John Ellipsoids via Lazy Updates	✅	❌	❌	❌	❌	❌	❌	1
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning	❌	✅	✅	✅	✅	❌	✅	5
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem	✅	✅	✅	✅	✅	❌	✅	6
KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts	✅	✅	✅	❌	✅	❌	✅	5
KFNN: K-Free Nearest Neighbor For Crowdsourcing	✅	✅	✅	❌	✅	❌	✅	5
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge	✅	✅	✅	✅	✅	✅	✅	7
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis	❌	❌	✅	❌	✅	✅	✅	4
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization	❌	❌	✅	❌	✅	✅	✅	4
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization	❌	✅	✅	❌	✅	❌	✅	4
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling	❌	❌	✅	❌	✅	❌	✅	3
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting	❌	✅	✅	✅	✅	❌	✅	5
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates	❌	✅	✅	❌	✅	❌	✅	4
Kermut: Composite kernel regression for protein variant effects	❌	✅	✅	✅	✅	❌	✅	5
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities	✅	✅	✅	✅	✅	❌	✅	6
Kernel PCA for Out-of-Distribution Detection	✅	✅	✅	✅	✅	❌	✅	6
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm	✅	❌	❌	❌	❌	❌	❌	1
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features	❌	✅	✅	❌	✅	❌	✅	4
KnowGPT: Knowledge Graph based Prompting for Large Language Models	❌	✅	✅	✅	✅	❌	❌	4
Knowledge Circuits in Pretrained Transformers	❌	✅	✅	✅	✅	❌	✅	5
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling	❌	✅	✅	✅	✅	❌	✅	5
Knowledge Graph Completion by Intermediate Variables Regularization	✅	✅	✅	✅	✅	❌	✅	6
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series	✅	✅	✅	✅	✅	❌	✅	6
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension	❌	✅	✅	✅	✅	❌	✅	5
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference	✅	✅	✅	❌	✅	✅	✅	6
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer	❌	✅	✅	✅	✅	❌	✅	5
L4GM: Large 4D Gaussian Reconstruction Model	❌	❌	✅	❌	✅	❌	✅	3
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image	❌	❌	✅	❌	✅	❌	✅	3
LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D	❌	❌	✅	❌	✅	✅	✅	4
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling	❌	✅	✅	❌	✅	❌	❌	3
LESS: Label-Efficient and Single-Stage Referring 3D Segmentation	❌	✅	✅	✅	✅	❌	✅	5
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization	✅	✅	✅	✅	✅	❌	✅	6
LG-CAV: Train Any Concept Activation Vector with Language Guidance	❌	✅	✅	❌	❌	❌	✅	3
LG-VQ: Language-Guided Codebook Learning	❌	✅	✅	✅	✅	❌	✅	5
LION: Linear Group RNN for 3D Object Detection in Point Clouds	❌	❌	✅	✅	✅	❌	✅	4
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
LIVE: Learnable In-Context Vector for Visual Question Answering	❌	✅	✅	✅	✅	❌	✅	5
LLM Circuit Analyses Are Consistent Across Training and Scale	❌	✅	✅	❌	✅	❌	✅	4
LLM Dataset Inference: Did you train on my dataset?	❌	✅	✅	✅	✅	❌	✅	5
LLM Evaluators Recognize and Favor Their Own Generations	❌	✅	✅	❌	❌	❌	✅	3
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language	✅	✅	✅	❌	✅	❌	✅	5
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems	✅	✅	✅	✅	✅	❌	✅	6
LLM-Check: Investigating Detection of Hallucinations in Large Language Models	❌	✅	✅	✅	✅	✅	✅	6
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation	✅	✅	✅	✅	✅	✅	✅	7
LLM-based Skill Diffusion for Zero-shot Policy Adaptation	✅	✅	✅	❌	✅	❌	✅	5
LLMDFA: Analyzing Dataflow in Code with Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning	❌	✅	✅	✅	✅	❌	✅	5
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings	❌	✅	✅	✅	✅	✅	✅	6
LLaMo: Large Language Model-based Molecular Graph Assistant	❌	✅	✅	✅	✅	❌	✅	5
LLaNA: Large Language and NeRF Assistant	❌	❌	✅	✅	✅	❌	✅	4
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model	✅	✅	✅	✅	✅	❌	✅	6
LOVA3: Learning to Visual Question Answering, Asking and Assessment	❌	✅	✅	✅	✅	❌	✅	5
LP-3DGS: Learning to Prune 3D Gaussian Splatting	❌	✅	✅	❌	✅	❌	✅	4
LRM-Zero: Training Large Reconstruction Models with Synthesized Data	❌	✅	✅	❌	✅	❌	✅	4
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing	✅	✅	✅	✅	✅	✅	✅	7
LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect	❌	❌	✅	❌	✅	❌	✅	3
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations	✅	❌	✅	✅	✅	❌	✅	5
LaSCal: Label-Shift Calibration without target labels	❌	✅	✅	✅	✅	❌	✅	5
LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction	❌	❌	✅	❌	✅	❌	✅	3
Label Delay in Online Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Label Noise: Ignorance Is Bliss	❌	✅	✅	✅	✅	❌	✅	5
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases	✅	✅	✅	❌	✅	❌	✅	5
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning	✅	✅	✅	❌	✅	✅	✅	6
Language Generation in the Limit	❌	❌	❌	❌	❌	❌	❌	0
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication	❌	✅	❌	✅	✅	✅	✅	5
Language Model as Visual Explainer	✅	✅	✅	✅	❌	❌	✅	5
Language Models as Hierarchy Encoders	❌	✅	✅	✅	✅	❌	✅	5
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models	❌	❌	✅	❌	✅	❌	✅	3
Language-Driven Interactive Traffic Trajectory Generation	❌	✅	✅	❌	✅	❌	✅	4
Large Language Model Unlearning	❌	✅	✅	✅	✅	❌	✅	5
Large Language Model Unlearning via Embedding-Corrupted Prompts	❌	✅	✅	✅	✅	❌	✅	5
Large Language Models Must Be Taught to Know What They Don’t Know	❌	✅	✅	✅	✅	❌	✅	5
Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach	✅	✅	✅	❌	✅	❌	✅	5
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation	✅	✅	❌	❌	✅	❌	✅	4
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Large Pre-trained time series models for cross-domain Time series analysis tasks	✅	✅	✅	✅	✅	❌	✅	6
Large Scale Transfer Learning for Tabular Data via Language Modeling	❌	✅	✅	✅	✅	❌	✅	5
Large Spatial Model: End-to-end Unposed Images to Semantic 3D	❌	❌	✅	❌	✅	❌	✅	3
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization	❌	❌	✅	❌	❌	❌	✅	2
Large language model validity via enhanced conformal prediction methods	✅	✅	✅	✅	❌	❌	✅	5
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities	✅	❌	❌	❌	❌	❌	✅	2
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Latent Diffusion for Neural Spiking Data	❌	✅	✅	❌	✅	❌	✅	4
Latent Functional Maps: a spectral framework for representation alignment	❌	❌	✅	✅	✅	❌	✅	4
Latent Intrinsics Emerge from Training to Relight	❌	✅	✅	❌	✅	❌	✅	4
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning	❌	❌	❌	❌	❌	❌	✅	1
Latent Neural Operator for Solving Forward and Inverse PDE Problems	❌	✅	✅	✅	✅	❌	✅	5
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models	❌	❌	✅	✅	✅	✅	✅	5
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference	✅	✅	✅	❌	✅	❌	✅	5
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks	✅	✅	✅	❌	✅	❌	✅	5
Layer-Adaptive State Pruning for Deep State Space Models	❌	✅	✅	✅	✅	❌	✅	5
LeDex: Training LLMs to Better Self-Debug and Explain Code	❌	❌	✅	❌	✅	❌	✅	3
Learn To be Efficient: Build Structured Sparsity in Large Language Models	❌	✅	✅	❌	✅	✅	✅	5
Learn more, but bother less: parameter efficient continual learning	❌	❌	✅	✅	✅	❌	✅	4
Learnability Matters: Active Learning for Video Captioning	✅	✅	✅	✅	✅	✅	✅	7
Learnability of high-dimensional targets by two-parameter models and gradient flow	❌	❌	❌	❌	❌	❌	❌	0
Learning 1D Causal Visual Representation with De-focus Attention Networks	❌	❌	✅	✅	✅	❌	✅	4
Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation	❌	✅	✅	✅	✅	❌	✅	5
Learning 3D Garment Animation from Trajectories of A Piece of Cloth	❌	✅	✅	✅	✅	❌	✅	5
Learning Better Representations From Less Data For Propositional Satisfiability	❌	✅	✅	❌	✅	❌	✅	4
Learning Bregman Divergences with Application to Robustness	✅	❌	✅	❌	✅	❌	✅	4
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification	❌	✅	✅	✅	❌	❌	✅	4
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure	❌	✅	✅	✅	✅	✅	✅	6
Learning Cooperative Trajectory Representations for Motion Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios	✅	✅	✅	✅	✅	❌	✅	6
Learning Cut Generating Functions for Integer Programming	✅	✅	✅	❌	✅	✅	✅	6
Learning De-Biased Representations for Remote-Sensing Imagery	✅	✅	✅	❌	❌	❌	✅	4
Learning Diffusion Priors from Observations by Expectation Maximization	✅	✅	✅	❌	✅	❌	✅	5
Learning Discrete Concepts in Latent Hierarchical Models	✅	✅	❌	❌	✅	❌	✅	4
Learning Discrete Latent Variable Structures with Tensor Rank Conditions	✅	❌	✅	❌	❌	✅	✅	4
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization	✅	✅	✅	✅	✅	❌	✅	6
Learning Distinguishable Trajectory Representation with Contrastive Loss	✅	✅	✅	❌	✅	❌	✅	5
Learning Distributions on Manifolds with Free-Form Flows	❌	✅	✅	✅	✅	❌	✅	5
Learning Elastic Costs to Shape Monge Displacements	✅	❌	✅	✅	❌	❌	✅	4
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem	✅	❌	❌	❌	❌	❌	❌	1
Learning Formal Mathematics From Intrinsic Motivation	❌	✅	✅	❌	✅	❌	✅	4
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation	❌	✅	✅	✅	❌	❌	✅	4
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm	✅	❌	❌	❌	❌	❌	❌	1
Learning Generalized Linear Programming Value Functions	✅	✅	✅	❌	❌	❌	✅	4
Learning Goal-Conditioned Representations for Language Reward Models	❌	✅	✅	❌	✅	✅	✅	5
Learning Group Actions on Latent Representations	❌	❌	✅	✅	✅	❌	✅	4
Learning Human-like Representations to Enable Learning Human Values	✅	✅	✅	✅	❌	❌	✅	5
Learning Identifiable Factorized Causal Representations of Cellular Responses	✅	✅	✅	✅	❌	❌	✅	5
Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems	✅	✅	✅	❌	✅	❌	✅	5
Learning Infinitesimal Generators of Continuous Symmetries from Data	❌	✅	✅	❌	✅	❌	✅	4
Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars	❌	✅	✅	❌	✅	❌	✅	4
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity	✅	❌	❌	❌	❌	❌	✅	2
Learning Low-Rank Feature for Thorax Disease Classification	✅	✅	✅	✅	✅	❌	✅	6
Learning Macroscopic Dynamics from Partial Microscopic Observations	✅	✅	❌	❌	✅	❌	✅	4
Learning Mixtures of Unknown Causal Interventions	✅	✅	✅	❌	❌	❌	✅	4
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient	✅	✅	✅	❌	✅	❌	✅	5
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees	❌	✅	✅	❌	❌	❌	✅	3
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random	✅	❌	❌	❌	❌	❌	❌	1
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression	✅	✅	✅	❌	✅	❌	✅	5
Learning Optimal Tax Design in Nonatomic Congestion Games	✅	❌	❌	❌	❌	❌	❌	1
Learning Partitions from Context	❌	❌	❌	❌	❌	❌	✅	1
Learning Place Cell Representations and Context-Dependent Remapping	❌	✅	❌	❌	❌	❌	✅	2
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation	❌	❌	❌	❌	✅	❌	✅	2
Learning Representations for Hierarchies with Minimal Support	✅	✅	✅	❌	✅	❌	✅	5
Learning Segmentation from Point Trajectories	❌	❌	✅	❌	✅	✅	✅	4
Learning Social Welfare Functions	✅	✅	❌	❌	✅	❌	✅	4
Learning Spatially-Aware Language and Audio Embeddings	❌	✅	✅	✅	✅	❌	✅	5
Learning Structure-Aware Representations of Dependent Types	❌	✅	✅	✅	✅	❌	✅	5
Learning Structured Representations with Hyperbolic Embeddings	✅	✅	✅	✅	✅	✅	✅	7
Learning Successor Features the Simple Way	✅	✅	✅	❌	✅	✅	✅	6
Learning Transferable Features for Implicit Neural Representations	❌	✅	✅	❌	✅	✅	✅	5
Learning Truncated Causal History Model for Video Restoration	❌	✅	✅	✅	✅	❌	✅	5
Learning Versatile Skills with Curriculum Masking	✅	❌	✅	✅	✅	❌	✅	5
Learning Where to Edit Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
Learning World Models for Unconstrained Goal Navigation	✅	✅	✅	❌	✅	❌	✅	5
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise	✅	❌	❌	❌	❌	❌	❌	1
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training	✅	❌	✅	❌	✅	❌	✅	4
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers	✅	✅	❌	❌	✅	❌	✅	4
Learning diffusion at lightspeed	❌	✅	✅	✅	✅	❌	✅	5
Learning diverse causally emergent representations from time series data	✅	✅	✅	❌	✅	❌	✅	5
Learning from Highly Sparse Spatio-temporal Data	❌	✅	✅	✅	✅	❌	✅	5
Learning from Noisy Labels via Conditional Distributionally Robust Optimization	✅	✅	✅	✅	✅	❌	✅	6
Learning from Offline Foundation Features with Tensor Augmentations	❌	✅	✅	✅	✅	❌	✅	5
Learning from Pattern Completion: Self-supervised Controllable Generation	❌	✅	✅	✅	✅	❌	✅	5
Learning from Snapshots of Discrete and Continuous Data Streams	✅	❌	❌	❌	❌	❌	❌	1
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate	✅	✅	✅	✅	✅	❌	✅	6
Learning from Uncertain Data: From Possible Worlds to Possible Models	✅	✅	✅	❌	✅	❌	✅	5
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks	❌	✅	✅	❌	❌	❌	✅	3
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Learning on Large Graphs using Intersecting Communities	❌	✅	✅	✅	✅	❌	✅	5
Learning predictable and robust neural representations by straightening image sequences	❌	✅	✅	❌	✅	❌	✅	4
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision	❌	❌	✅	✅	✅	❌	✅	4
Learning symmetries via weight-sharing with doubly stochastic tensors	✅	✅	✅	❌	✅	❌	✅	5
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games	✅	✅	❌	❌	❌	❌	✅	3
Learning the Infinitesimal Generator of Stochastic Diffusion Processes	❌	✅	❌	❌	✅	❌	✅	3
Learning the Latent Causal Structure for Modeling Label Noise	✅	✅	✅	✅	✅	❌	✅	6
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards	✅	✅	✅	❌	❌	❌	✅	4
Learning to Assist Humans without Inferring Rewards	✅	✅	✅	❌	✅	❌	❌	4
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games	✅	❌	✅	❌	✅	❌	✅	4
Learning to Cooperate with Humans using Generative Agents	❌	✅	✅	✅	✅	❌	✅	5
Learning to Decouple the Lights for 3D Face Texture Modeling	✅	✅	✅	❌	✅	❌	✅	5
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf	❌	✅	❌	❌	✅	❌	✅	3
Learning to Edit Visual Programs with Self-Supervision	✅	✅	✅	✅	✅	❌	✅	6
Learning to Embed Distributions via Maximum Kernel Entropy	✅	✅	✅	✅	❌	❌	✅	5
Learning to Handle Complex Constraints for Vehicle Routing Problems	❌	✅	✅	❌	✅	❌	✅	4
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers	❌	✅	✅	✅	✅	❌	✅	5
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality	✅	❌	❌	❌	❌	❌	✅	2
Learning to Predict Structural Vibrations	❌	✅	✅	✅	✅	❌	✅	5
Learning to Price Homogeneous Data	✅	❌	✅	❌	❌	❌	❌	2
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios	✅	✅	✅	✅	✅	❌	✅	6
Learning to Reason via Program Generation, Emulation, and Search	✅	✅	✅	✅	✅	❌	✅	6
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection	❌	❌	✅	❌	✅	❌	✅	3
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way	✅	✅	✅	✅	✅	✅	✅	7
Learning to Understand: Identifying Interactions via the Möbius Transform	✅	✅	✅	❌	❌	❌	✅	4
Learning to be Smooth: An End-to-End Differentiable Particle Smoother	✅	❌	✅	✅	✅	❌	✅	5
Learning to compute Gröbner bases	✅	✅	✅	❌	✅	❌	✅	5
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks	❌	✅	✅	❌	✅	❌	✅	4
Learning via Surrogate PAC-Bayes	✅	✅	✅	❌	✅	❌	✅	5
Learning with Fitzpatrick Losses	❌	❌	✅	✅	✅	❌	✅	4
Learning-Augmented Algorithms for the Bahncard Problem	❌	✅	✅	❌	❌	❌	✅	3
Learning-Augmented Algorithms with Explicit Predictors	✅	❌	❌	❌	❌	❌	❌	1
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems	❌	❌	❌	❌	❌	❌	❌	0
Learning-Augmented Dynamic Submodular Maximization	✅	❌	✅	❌	❌	❌	✅	3
Learning-Augmented Priority Queues	✅	✅	✅	❌	❌	❌	✅	4
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching	✅	✅	✅	❌	✅	❌	✅	5
Least Squares Regression Can Exhibit Under-Parameterized Double Descent	❌	✅	✅	❌	✅	❌	✅	4
Length Optimization in Conformal Prediction	✅	✅	✅	✅	❌	❌	✅	5
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models	❌	✅	✅	✅	✅	❌	✅	5
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning	❌	❌	✅	❌	✅	❌	✅	3
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers	❌	❌	✅	✅	✅	✅	✅	5
Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models	✅	✅	✅	❌	❌	✅	✅	5
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Leveraging Separated World Model for Exploration in Visually Distracted Environments	❌	✅	✅	✅	✅	❌	✅	5
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images	❌	✅	✅	✅	✅	❌	✅	5
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning	❌	✅	✅	✅	✅	❌	✅	5
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals	✅	✅	✅	✅	✅	❌	✅	6
Leveraging partial stragglers within gradient coding	✅	✅	❌	❌	✅	❌	✅	4
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding	❌	✅	✅	✅	✅	❌	✅	5
LiT: Unifying LiDAR "Languages" with LiDAR Translator	❌	✅	✅	✅	✅	❌	✅	5
Light Unbalanced Optimal Transport	❌	✅	✅	❌	✅	❌	✅	4
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS	✅	❌	✅	❌	✅	❌	✅	4
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis	✅	✅	✅	❌	✅	✅	✅	6
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation	❌	✅	✅	❌	❌	❌	✅	3
Limits of Transformer Language Models on Learning to Compose Algorithms	✅	✅	❌	❌	❌	❌	✅	3
LinNet: Linear Network for Efficient Point Cloud Representation Learning	❌	✅	✅	✅	✅	✅	✅	6
Linear Causal Bandits: Unknown Graph and Soft Interventions	✅	✅	❌	❌	✅	❌	✅	4
Linear Causal Representation Learning from Unknown Multi-node Interventions	✅	✅	❌	❌	❌	❌	✅	3
Linear Regression using Heterogeneous Data Batches	✅	✅	❌	❌	✅	❌	✅	4
Linear Time Approximation Algorithm for Column Subset Selection with Local Search	✅	❌	✅	❌	✅	❌	✅	4
Linear Transformers are Versatile In-Context Learners	❌	❌	❌	❌	✅	❌	✅	2
Linear Uncertainty Quantification of Graphical Model Inference	❌	✅	✅	✅	✅	❌	✅	5
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models	❌	✅	✅	✅	✅	❌	✅	5
Linguistic Collapse: Neural Collapse in (Large) Language Models	❌	✅	✅	✅	✅	✅	✅	6
Linking In-context Learning in Transformers to Human Episodic Memory	❌	✅	✅	❌	✅	❌	✅	4
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes	❌	✅	✅	❌	❌	❌	✅	3
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack	✅	✅	✅	❌	✅	❌	✅	5
Listenable Maps for Zero-Shot Audio Classifiers	❌	✅	✅	❌	✅	❌	✅	4
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering	❌	✅	✅	❌	✅	❌	✅	4
LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss	❌	❌	✅	❌	✅	❌	✅	3
LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment	❌	✅	✅	❌	✅	❌	✅	4
LoFiT: Localized Fine-tuning on LLM Representations	❌	✅	✅	✅	✅	❌	✅	5
LoQT: Low-Rank Adapters for Quantized Pretraining	✅	✅	✅	✅	✅	❌	✅	6
LoRA-GA: Low-Rank Adaptation with Gradient Approximation	✅	✅	✅	❌	✅	❌	✅	5
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search	❌	✅	✅	❌	✅	❌	✅	4
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding	❌	❌	✅	❌	✅	❌	✅	3
LocCa: Visual Pretraining with Location-aware Captioners	❌	❌	✅	✅	✅	❌	✅	4
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit	✅	✅	❌	❌	❌	❌	✅	3
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching	❌	❌	✅	❌	✅	❌	✅	3
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs	✅	❌	❌	❌	❌	❌	❌	1
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Local and Adaptive Mirror Descents in Extensive-Form Games	✅	✅	✅	❌	❌	✅	✅	5
Local to Global: Learning Dynamics and Effect of Initialization for Transformers	❌	✅	❌	❌	❌	❌	✅	2
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner	✅	✅	✅	❌	✅	❌	✅	5
Localized Adaptive Risk Control	❌	✅	✅	❌	✅	❌	✅	4
Localized Zeroth-Order Prompt Optimization	✅	✅	✅	✅	✅	❌	✅	6
Localizing Memorization in SSL Vision Encoders	❌	✅	✅	❌	✅	❌	✅	4
Locally Private and Robust Multi-Armed Bandits	✅	✅	❌	❌	❌	❌	✅	3
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild	✅	✅	✅	✅	❌	❌	✅	5
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk	✅	❌	❌	❌	❌	❌	❌	1
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning	❌	✅	✅	✅	❌	❌	✅	4
Logical characterizations of recurrent graph neural networks with reals and floats	❌	❌	❌	❌	❌	❌	❌	0
Loki: Low-rank Keys for Efficient Sparse Attention	✅	✅	✅	✅	✅	❌	✅	6
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments	✅	✅	✅	❌	❌	✅	✅	5
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli	❌	✅	✅	❌	✅	❌	✅	4
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Long-form factuality in large language models	❌	✅	✅	❌	❌	✅	✅	4
Long-range Brain Graph Transformer	❌	✅	✅	✅	✅	❌	✅	5
Long-range Meta-path Search on Large-scale Heterogeneous Graphs	✅	✅	✅	✅	✅	❌	✅	6
Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering	✅	✅	✅	✅	✅	❌	✅	6
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate	❌	✅	✅	✅	✅	❌	✅	5
Lookback Prophet Inequalities	❌	❌	❌	❌	❌	❌	❌	0
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models	❌	❌	✅	❌	❌	❌	❌	1
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics	❌	✅	✅	✅	✅	✅	✅	6
Loss Landscape Characterization of Neural Networks without Over-Parametrization	✅	❌	✅	❌	✅	❌	✅	4
Low Degree Hardness for Broadcasting on Trees	❌	❌	❌	❌	❌	❌	❌	0
Low Precision Local Training is Enough for Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling	✅	✅	✅	✅	❌	❌	✅	5
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks	✅	❌	❌	❌	❌	❌	❌	1
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization	✅	✅	❌	❌	✅	❌	✅	4
LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes	❌	✅	✅	✅	✅	❌	✅	5
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models	❌	❌	✅	✅	✅	❌	✅	4
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT	✅	✅	✅	✅	✅	❌	✅	6
M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation	❌	✅	✅	✅	✅	❌	✅	5
MAC Advice for facility location mechanism design	✅	❌	❌	❌	❌	❌	❌	1
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems	❌	✅	✅	❌	❌	❌	✅	3
MADiff: Offline Multi-agent Learning with Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution	✅	✅	✅	❌	❌	❌	❌	3
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization	❌	✅	✅	❌	✅	❌	✅	4
MALT Powers Up Adversarial Attacks	✅	❌	✅	❌	✅	❌	✅	4
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models	✅	✅	✅	❌	✅	❌	✅	5
MAmmoTH2: Scaling Instructions from the Web	❌	✅	✅	❌	✅	❌	✅	4
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making	✅	✅	✅	❌	❌	❌	✅	4
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning	❌	✅	✅	❌	✅	❌	✅	4
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness	✅	✅	❌	❌	✅	❌	✅	4
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction	❌	✅	✅	✅	✅	❌	✅	5
MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs	❌	❌	✅	❌	✅	❌	✅	3
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition	✅	❌	✅	✅	✅	✅	✅	6
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention	✅	✅	✅	✅	✅	❌	✅	6
MKGL: Mastery of a Three-Word Language	✅	✅	✅	✅	✅	❌	✅	6
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins	❌	✅	✅	✅	✅	✅	✅	6
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation	✅	✅	✅	✅	✅	✅	✅	7
MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search	❌	❌	✅	❌	✅	❌	✅	3
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs	❌	✅	✅	❌	✅	❌	✅	4
MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions	❌	✅	✅	❌	✅	❌	✅	4
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training	❌	✅	✅	✅	✅	❌	✅	5
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution	✅	✅	✅	❌	✅	❌	✅	5
MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction	❌	❌	✅	✅	✅	❌	✅	4
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding	✅	❌	✅	✅	✅	❌	✅	5
MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images	❌	❌	✅	✅	✅	❌	✅	4
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling	✅	✅	✅	❌	✅	❌	✅	5
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing	❌	✅	✅	❌	✅	❌	✅	4
MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps	❌	✅	✅	✅	✅	❌	✅	5
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views	❌	✅	✅	✅	✅	❌	✅	5
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts	✅	✅	✅	❌	❌	❌	✅	4
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model	❌	❌	✅	❌	✅	❌	✅	3
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization	✅	✅	✅	❌	✅	❌	✅	5
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function	❌	✅	✅	❌	✅	❌	✅	4
Maia-2: A Unified Model for Human-AI Alignment in Chess	❌	✅	✅	❌	✅	❌	✅	4
Make Continual Learning Stronger via C-Flat	✅	✅	✅	✅	❌	❌	✅	5
Make Your LLM Fully Utilize the Context	✅	❌	✅	❌	✅	❌	✅	4
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion	❌	✅	✅	❌	✅	❌	✅	4
Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials	❌	✅	✅	❌	❌	❌	✅	3
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection	❌	✅	✅	❌	✅	❌	✅	4
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space	❌	✅	✅	✅	✅	❌	✅	5
MambaLRP: Explaining Selective State Space Sequence Models	✅	✅	✅	✅	✅	❌	✅	6
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging	✅	✅	✅	❌	✅	❌	✅	5
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models	✅	✅	✅	✅	✅	❌	✅	6
MambaTree: Tree Topology is All You Need in State Space Model	✅	✅	✅	✅	✅	❌	✅	6
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation	✅	✅	✅	✅	✅	❌	✅	6
Many-Shot In-Context Learning	✅	❌	✅	✅	❌	✅	✅	5
Many-shot Jailbreaking	✅	❌	✅	❌	❌	❌	✅	3
Marginal Causal Flows for Validation and Inference	❌	✅	✅	✅	✅	✅	✅	6
Markov Equivalence and Consistency in Differentiable Structure Learning	✅	✅	❌	❌	❌	❌	✅	3
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows	✅	✅	✅	❌	✅	❌	✅	5
Marrying Causal Representation Learning with Dynamical Systems for Science	❌	✅	✅	✅	✅	❌	✅	5
MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages	✅	✅	❌	❌	❌	❌	❌	2
Masked Pre-training Enables Universal Zero-shot Denoiser	✅	✅	✅	✅	✅	❌	✅	6
MatFormer: Nested Transformer for Elastic Inference	❌	❌	✅	✅	✅	❌	✅	4
Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent	❌	❌	❌	❌	✅	❌	✅	2
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods	❌	❌	❌	❌	❌	❌	✅	1
MatrixNet: Learning over symmetry groups using learned group representations	❌	✅	❌	✅	✅	❌	✅	4
Matryoshka Query Transformer for Large Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
Maximizing utility in multi-agent environments by anticipating the behavior of other learners	✅	❌	❌	❌	❌	❌	❌	1
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models	✅	✅	✅	✅	✅	❌	✅	6
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow	✅	✅	✅	❌	✅	❌	✅	5
MeLLoC: Lossless Compression with High-order Mechanism Learning	✅	❌	✅	❌	✅	❌	✅	4
MeMo: Meaningful, Modular Controllers via Noise Injection	❌	✅	❌	✅	✅	❌	✅	4
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input	✅	❌	❌	❌	❌	❌	❌	1
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach	✅	✅	❌	❌	❌	❌	✅	3
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance	❌	✅	✅	❌	✅	❌	✅	4
Measuring Dejavu Memorization Efficiently	❌	✅	✅	✅	✅	❌	✅	5
Measuring Goal-Directedness	✅	✅	✅	❌	✅	❌	✅	5
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration	✅	✅	✅	❌	✅	❌	✅	5
Measuring Per-Unit Interpretability at Scale Without Humans	❌	✅	✅	❌	✅	❌	✅	4
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models	❌	✅	✅	❌	✅	❌	✅	4
Mechanism design augmented with output advice	✅	✅	✅	❌	✅	❌	❌	4
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning	❌	✅	✅	✅	✅	✅	✅	6
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification	❌	✅	✅	✅	✅	❌	✅	5
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning	❌	✅	✅	✅	✅	✅	✅	6
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length	❌	✅	✅	✅	✅	❌	✅	5
MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts	✅	❌	✅	❌	✅	❌	✅	4
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration	✅	✅	✅	❌	✅	❌	✅	5
Membership Inference Attacks against Large Vision-Language Models	❌	✅	✅	❌	✅	✅	✅	5
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy	❌	✅	✅	❌	✅	❌	✅	4
Memorize What Matters: Emergent Scene Decomposition from Multitraverse	✅	✅	✅	❌	✅	❌	✅	5
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization	✅	✅	✅	✅	✅	❌	✅	6
Memory-Efficient LLM Training with Online Subspace Descent	✅	✅	✅	❌	✅	❌	✅	5
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers	❌	❌	✅	❌	❌	❌	✅	2
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs	✅	✅	✅	❌	✅	❌	✅	5
MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model	❌	❌	✅	❌	✅	❌	✅	3
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials	❌	❌	✅	❌	✅	❌	✅	3
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control	❌	✅	✅	✅	✅	❌	✅	5
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement	✅	✅	✅	❌	✅	❌	✅	5
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration	✅	✅	✅	✅	✅	❌	✅	6
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning	✅	✅	✅	✅	✅	❌	✅	6
Meta-Learning Universal Priors Using Non-Injective Change of Variables	✅	✅	✅	✅	✅	❌	✅	6
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator	✅	✅	✅	❌	✅	❌	✅	5
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models	✅	✅	✅	✅	✅	❌	✅	6
MetaCURL: Non-stationary Concave Utility Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map	❌	✅	✅	✅	✅	❌	✅	5
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning	❌	✅	✅	✅	✅	❌	✅	5
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving	❌	❌	✅	❌	✅	❌	✅	3
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models	❌	✅	✅	❌	✅	❌	✅	4
Metric Flow Matching for Smooth Interpolations on the Data Manifold	✅	✅	✅	✅	✅	❌	✅	6
Metric Space Magnitude for Evaluating the Diversity of Latent Representations	❌	✅	✅	✅	✅	❌	✅	5
Metric Transforms and Low Rank Representations of Kernels for Fast Attention	❌	❌	❌	❌	❌	❌	❌	0
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation	❌	✅	✅	❌	✅	❌	✅	4
MiSO: Optimizing brain stimulation to create neural activity states	❌	✅	❌	✅	✅	❌	✅	4
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence	✅	✅	✅	❌	✅	❌	✅	5
Microstructures and Accuracy of Graph Recall by Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes	❌	✅	✅	✅	✅	❌	✅	5
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games	✅	✅	✅	❌	❌	❌	✅	4
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning	✅	✅	✅	✅	✅	❌	✅	6
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making	✅	✅	✅	❌	✅	❌	❌	4
Mind the Graph When Balancing Data for Fairness or Robustness	❌	❌	✅	✅	✅	❌	✅	4
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models	✅	✅	✅	✅	❌	✅	✅	6
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages	❌	✅	✅	❌	✅	❌	✅	4
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training	✅	✅	✅	❌	✅	❌	✅	5
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning	✅	✅	❌	❌	✅	❌	✅	4
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
Minimum Entropy Coupling with Bottleneck	✅	✅	✅	❌	❌	❌	✅	4
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration	✅	✅	✅	✅	✅	❌	✅	6
Mirror and Preconditioned Gradient Descent in Wasserstein Space	❌	✅	✅	❌	✅	❌	✅	4
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs	❌	❌	✅	❌	✅	❌	❌	2
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor	✅	✅	✅	❌	✅	❌	✅	5
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks	❌	✅	✅	✅	✅	❌	✅	5
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction	❌	✅	✅	❌	✅	❌	✅	4
Mitigating Object Hallucination via Concentric Causal Attention	✅	✅	✅	✅	✅	❌	✅	6
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy	✅	✅	✅	❌	✅	❌	✅	5
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation	❌	❌	✅	✅	✅	❌	✅	4
Mitigating Spurious Correlations via Disagreement Probability	✅	✅	✅	✅	✅	❌	✅	6
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures	❌	✅	✅	❌	✅	❌	✅	4
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes	❌	❌	❌	❌	✅	❌	✅	2
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Mixture of Demonstrations for In-Context Learning	✅	✅	✅	✅	✅	❌	✅	6
Mixture of Experts Meets Prompt-Based Continual Learning	✅	✅	✅	❌	✅	❌	✅	5
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness	❌	✅	✅	❌	✅	❌	✅	4
Mixture of Link Predictors on Graphs	✅	✅	✅	✅	✅	❌	✅	6
Mixture of Nested Experts: Adaptive Processing of Visual Tokens	✅	❌	✅	❌	✅	❌	❌	3
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models	❌	❌	✅	❌	✅	❌	✅	3
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation	✅	✅	✅	❌	✅	❌	✅	5
Mixture of neural fields for heterogeneous reconstruction in cryo-EM	❌	✅	✅	❌	✅	✅	✅	5
Mixtures of Experts for Audio-Visual Learning	❌	✅	✅	❌	✅	✅	✅	5
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks	✅	✅	✅	❌	✅	❌	✅	5
MoEUT: Mixture-of-Experts Universal Transformers	❌	✅	✅	✅	✅	❌	✅	5
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability	❌	✅	✅	❌	✅	❌	✅	4
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling	❌	❌	✅	✅	✅	❌	✅	4
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts	❌	✅	✅	❌	✅	❌	✅	4
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence	✅	✅	✅	✅	✅	❌	✅	6
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer	❌	✅	✅	✅	✅	❌	✅	5
MoVA: Adapting Mixture of Vision Experts to Multimodal Context	❌	✅	✅	✅	✅	❌	✅	5
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration	❌	✅	❌	❌	❌	❌	✅	2
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Model Based Inference of Synaptic Plasticity Rules	❌	✅	❌	✅	✅	❌	✅	4
Model Collapse Demystified: The Case of Regression	❌	❌	✅	❌	❌	❌	✅	2
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA	✅	✅	✅	✅	✅	✅	✅	7
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning	✅	✅	✅	✅	✅	✅	✅	7
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks	❌	✅	✅	❌	❌	❌	✅	3
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory	✅	✅	✅	❌	✅	❌	✅	5
Model Sensitivity Aware Continual Learning	✅	❌	✅	❌	✅	❌	✅	4
Model-Based Transfer Learning for Contextual Reinforcement Learning	✅	✅	✅	❌	✅	✅	✅	6
Model-based Diffusion for Trajectory Optimization	✅	✅	✅	❌	✅	❌	✅	5
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation	✅	✅	❌	❌	✅	❌	✅	4
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems	❌	✅	❌	❌	✅	❌	✅	3
Molecule Design by Latent Prompt Transformer	✅	✅	✅	❌	✅	❌	✅	5
Molecule Generation with Fragment Retrieval Augmentation	✅	✅	✅	✅	✅	❌	✅	6
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts	✅	✅	✅	✅	✅	❌	✅	6
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity	❌	✅	✅	❌	✅	❌	✅	4
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders	❌	❌	✅	✅	✅	❌	✅	4
Monoculture in Matching Markets	❌	✅	✅	❌	❌	❌	❌	2
Monomial Matrix Group Equivariant Neural Functional Networks	❌	✅	✅	✅	✅	❌	✅	5
Monte Carlo Tree Search based Space Transfer for Black Box Optimization	✅	✅	✅	❌	❌	❌	✅	4
Most Influential Subset Selection: Challenges, Promises, and Beyond	❌	✅	✅	❌	✅	❌	✅	4
Motif-oriented influence maximization for viral marketing in large-scale social networks	✅	✅	✅	❌	✅	❌	✅	5
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation	❌	❌	✅	❌	✅	❌	✅	3
Motion Forecasting in Continuous Driving	❌	✅	✅	✅	✅	❌	✅	5
Motion Graph Unleashed: A Novel Approach to Video Prediction	❌	✅	✅	✅	✅	❌	✅	5
MotionBooth: Motion-Aware Customized Text-to-Video Generation	✅	❌	✅	❌	✅	❌	✅	4
MotionCraft: Physics-Based Zero-Shot Video Generation	✅	✅	✅	❌	✅	❌	✅	5
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting	❌	❌	✅	❌	✅	❌	✅	3
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI	❌	✅	✅	✅	✅	❌	✅	5
Moving Off-the-Grid: Scene-Grounded Video Representations	❌	❌	✅	✅	✅	❌	✅	4
Multi-Agent Coordination via Multi-Level Communication	✅	❌	✅	❌	✅	❌	✅	4
Multi-Agent Domain Calibration with a Handful of Offline Data	✅	✅	✅	✅	✅	❌	✅	6
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard	✅	❌	❌	❌	❌	❌	❌	1
Multi-Group Proportional Representation in Retrieval	✅	✅	✅	✅	✅	❌	✅	6
Multi-Head Mixture-of-Experts	✅	✅	✅	❌	✅	❌	✅	5
Multi-Instance Partial-Label Learning with Margin Adjustment	✅	✅	✅	❌	✅	❌	✅	5
Multi-LLM Debate: Framework, Principals, and Interventions	✅	❌	✅	❌	✅	✅	✅	5
Multi-Label Learning with Stronger Consistency Guarantees	❌	❌	❌	❌	❌	❌	❌	0
Multi-Label Open Set Recognition	✅	✅	✅	❌	✅	❌	✅	5
Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention	❌	✅	✅	✅	✅	❌	✅	5
Multi-Object Hallucination in Vision Language Models	❌	❌	✅	✅	✅	❌	✅	4
Multi-Reward Best Policy Identification	✅	✅	✅	❌	✅	✅	✅	6
Multi-Scale Representation Learning for Protein Fitness Prediction	❌	✅	✅	❌	✅	❌	✅	4
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model	❌	✅	✅	❌	✅	❌	✅	4
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs	✅	✅	✅	✅	✅	❌	✅	6
Multi-Winner Reconfiguration	❌	✅	✅	❌	✅	✅	✅	5
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images	✅	✅	✅	✅	✅	✅	✅	7
Multi-language Diversity Benefits Autoformalization	❌	✅	✅	❌	✅	❌	✅	4
Multi-modal Transfer Learning between Biological Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Multi-model Ensemble Conformal Prediction in Dynamic Environments	✅	✅	✅	❌	✅	❌	✅	5
Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree	❌	✅	✅	✅	✅	❌	✅	5
Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction	❌	❌	❌	✅	✅	❌	✅	3
Multi-turn Reinforcement Learning with Preference Human Feedback	✅	❌	✅	❌	✅	❌	✅	4
Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis	❌	✅	✅	❌	✅	❌	✅	4
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities	❌	✅	✅	✅	✅	❌	✅	5
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step	❌	✅	✅	❌	✅	❌	✅	4
Multiclass Transductive Online Learning	❌	❌	❌	❌	❌	❌	❌	0
Multidimensional Fractional Programming for Normalized Cuts	✅	✅	✅	❌	❌	❌	✅	4
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization	✅	✅	✅	✅	✅	❌	✅	6
Multilingual Diversity Improves Vision-Language Representations	❌	❌	✅	❌	✅	❌	✅	3
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better	❌	❌	✅	❌	✅	❌	✅	3
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning	✅	✅	✅	✅	✅	❌	✅	6
Multiple Physics Pretraining for Spatiotemporal Surrogate Models	❌	✅	✅	✅	✅	✅	✅	6
Multistable Shape from Shading Emerges from Patch Diffusion	✅	✅	✅	❌	✅	❌	✅	5
Multistep Distillation of Diffusion Models via Moment Matching	✅	❌	✅	✅	✅	❌	✅	5
Multivariate Probabilistic Time Series Forecasting with Correlated Errors	❌	✅	✅	✅	✅	❌	✅	5
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking	✅	✅	✅	❌	✅	✅	✅	6
Multiview Scene Graph	❌	✅	✅	❌	✅	❌	✅	4
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering	✅	✅	✅	✅	✅	❌	✅	6
Mutli-Armed Bandits with Network Interference	✅	✅	❌	✅	❌	❌	✅	4
Mutual Information Estimation via $f$-Divergence and Data Derangements	❌	✅	✅	❌	✅	✅	✅	5
Mutual Information Estimation via Normalizing Flows	✅	✅	✅	❌	✅	❌	✅	5
N-agent Ad Hoc Teamwork	❌	✅	✅	❌	✅	❌	✅	4
NVRC: Neural Video Representation Compression	❌	✅	✅	❌	✅	❌	✅	4
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing	❌	✅	✅	❌	✅	❌	✅	4
Natural Counterfactuals With Necessary Backtracking	❌	✅	✅	❌	✅	❌	✅	4
Nature-Inspired Local Propagation	✅	❌	❌	❌	❌	❌	✅	2
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits	✅	❌	❌	❌	❌	❌	❌	1
Navigating Chemical Space with Latent Flows	✅	✅	✅	✅	✅	❌	✅	6
Navigating Extremes: Dynamic Sparsity in Large Output Spaces	❌	✅	✅	❌	✅	❌	✅	4
Navigating the Effect of Parametrization for Dimensionality Reduction	✅	✅	✅	✅	✅	✅	✅	7
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model	✅	❌	❌	❌	❌	❌	✅	2
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity	✅	✅	✅	❌	✅	✅	✅	6
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms	✅	❌	❌	❌	❌	❌	❌	1
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs	✅	❌	❌	❌	❌	❌	❌	1
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD	✅	❌	❌	❌	❌	❌	❌	1
Near-Optimality of Contrastive Divergence Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution	✅	✅	✅	✅	✅	❌	✅	6
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit	✅	❌	❌	❌	✅	❌	✅	3
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback	✅	❌	❌	❌	❌	❌	✅	2
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method	❌	✅	❌	❌	❌	❌	✅	2
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning	✅	✅	✅	✅	✅	❌	✅	6
Neglected Hessian component explains mysteries in sharpness regularization	❌	❌	✅	❌	✅	❌	✅	3
NeoRL: Efficient Exploration for Nonepisodic RL	✅	✅	✅	❌	✅	❌	✅	5
Nesterov acceleration despite very noisy gradients	✅	✅	✅	❌	❌	❌	✅	4
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics	✅	✅	✅	✅	✅	❌	✅	6
NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction	❌	✅	✅	❌	✅	❌	✅	4
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms	✅	✅	✅	❌	✅	❌	✅	5
Neur2BiLO: Neural Bilevel Optimization	✅	✅	✅	❌	✅	✅	✅	6
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks	❌	✅	✅	✅	✅	❌	✅	5
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization	✅	✅	✅	✅	✅	❌	✅	6
Neural Collapse To Multiple Centers For Imbalanced Data	❌	✅	✅	❌	✅	❌	✅	4
Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times	✅	✅	❌	❌	✅	❌	✅	4
Neural Concept Binder	✅	✅	✅	✅	✅	❌	✅	6
Neural Conditional Probability for Uncertainty Quantification	✅	✅	✅	✅	✅	❌	✅	6
Neural Cover Selection for Image Steganography	✅	✅	✅	❌	✅	❌	✅	5
Neural Embeddings Rank: Aligning 3D latent dynamics with movements	❌	✅	✅	❌	✅	❌	✅	4
Neural Experts: Mixture of Experts for Implicit Neural Representations	❌	✅	✅	❌	✅	❌	✅	4
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling	✅	✅	✅	✅	✅	❌	✅	6
Neural Gaffer: Relighting Any Object via Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Neural Isometries: Taming Transformations for Equivariant ML	❌	✅	✅	✅	✅	❌	✅	5
Neural Krylov Iteration for Accelerating Linear System Solving	✅	✅	✅	❌	✅	✅	✅	6
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation	✅	✅	✅	❌	✅	❌	✅	5
Neural Model Checking	❌	✅	✅	❌	✅	✅	✅	5
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations	✅	✅	✅	❌	❌	❌	✅	4
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs	✅	✅	✅	✅	✅	❌	✅	6
Neural Persistence Dynamics	❌	✅	✅	✅	✅	❌	✅	5
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations	❌	✅	✅	❌	✅	❌	✅	4
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses	❌	❌	✅	❌	✅	❌	✅	3
Neural Residual Diffusion Models for Deep Scalable Vision Generation	❌	✅	✅	❌	❌	❌	✅	3
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set	❌	✅	✅	❌	✅	❌	✅	4
Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?	❌	❌	✅	❌	❌	❌	✅	2
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects	❌	✅	❌	✅	✅	✅	✅	5
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit	✅	❌	❌	❌	❌	❌	❌	1
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory	❌	✅	❌	❌	✅	❌	✅	3
NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation	❌	❌	❌	❌	✅	❌	✅	2
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes	✅	✅	✅	❌	✅	❌	✅	5
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks	❌	✅	✅	✅	✅	❌	✅	5
NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design	✅	✅	✅	❌	✅	❌	✅	5
Neuro-Symbolic Data Generation for Math Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction	❌	✅	✅	✅	✅	❌	✅	5
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping	❌	✅	❌	✅	✅	✅	✅	5
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction	❌	✅	✅	❌	✅	✅	✅	5
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation	✅	✅	✅	✅	✅	❌	✅	6
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification	✅	✅	✅	✅	✅	❌	✅	6
Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations	✅	✅	✅	❌	✅	✅	✅	6
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms	✅	✅	✅	❌	✅	❌	✅	5
Nimbus: Secure and Efficient Two-Party Inference for Transformers	✅	✅	✅	❌	✅	❌	✅	5
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance	✅	✅	✅	❌	✅	❌	✅	5
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models	❌	❌	✅	❌	✅	❌	✅	3
No Free Delivery Service: Epistemic limits of passive data collection in complex social systems	❌	❌	✅	❌	✅	❌	✅	3
No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation	✅	❌	❌	❌	❌	❌	❌	1
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices	❌	✅	✅	❌	✅	❌	✅	4
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery	✅	✅	✅	❌	✅	❌	✅	5
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO	✅	✅	✅	❌	✅	❌	✅	5
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations	✅	✅	✅	✅	✅	❌	✅	6
No-Regret Bandit Exploration based on Soft Tree Ensemble Model	✅	❌	✅	❌	❌	❌	✅	3
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization	✅	❌	❌	❌	❌	❌	❌	1
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting	✅	❌	❌	❌	❌	❌	❌	1
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests	❌	❌	❌	❌	❌	❌	❌	0
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention	✅	❌	✅	✅	✅	❌	✅	5
Noether's Razor: Learning Conserved Quantities	❌	✅	❌	❌	✅	❌	✅	3
Noise Contrastive Alignment of Language Models with Explicit Rewards	✅	✅	✅	❌	✅	❌	✅	5
Noise-Aware Differentially Private Regression via Meta-Learning	✅	✅	✅	✅	✅	❌	✅	6
NoiseGPT: Label Noise Detection and Rectification through Probability Curvature	✅	✅	✅	✅	✅	❌	✅	6
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation	✅	✅	✅	❌	✅	✅	✅	6
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom	❌	✅	✅	✅	✅	❌	✅	5
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning	✅	✅	✅	✅	✅	✅	✅	7
Non-Euclidean Mixture Model for Social Network Embedding	❌	✅	✅	✅	✅	❌	✅	5
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset	✅	❌	✅	❌	✅	❌	✅	4
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation	✅	✅	✅	✅	✅	❌	✅	6
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits	❌	✅	❌	❌	✅	❌	✅	3
Non-asymptotic Convergence of Training Transformers for Next-token Prediction	✅	✅	❌	❌	✅	❌	✅	4
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search	✅	❌	❌	❌	❌	❌	✅	2
Non-convolutional graph neural networks.	✅	✅	✅	✅	✅	❌	✅	6
Non-geodesically-convex optimization in the Wasserstein space	✅	✅	❌	❌	❌	❌	✅	3
Non-parametric classification via expand-and-sparsify representation	✅	❌	✅	✅	✅	❌	✅	5
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data	✅	❌	✅	❌	❌	❌	✅	3
Nonlinear dynamics of localization in neural receptive fields	❌	✅	✅	❌	❌	❌	✅	3
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery	❌	✅	✅	❌	✅	❌	✅	4
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks	❌	❌	❌	❌	❌	❌	✅	1
Nonparametric Evaluation of Noisy ICA Solutions	✅	✅	❌	❌	✅	❌	✅	4
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients	✅	✅	✅	✅	✅	❌	✅	6
Nonstationary Sparse Spectral Permanental Process	✅	✅	✅	✅	✅	❌	✅	6
Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering	❌	❌	✅	❌	✅	❌	✅	3
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers	✅	✅	✅	❌	✅	✅	✅	6
Normalization and effective learning rates in reinforcement learning	✅	❌	✅	❌	❌	❌	✅	3
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features	❌	✅	✅	✅	✅	❌	✅	5
Not All Tokens Are What You Need for Pretraining	❌	❌	✅	❌	✅	✅	✅	4
Not Just Object, But State: Compositional Incremental Learning without Forgetting	✅	✅	✅	❌	❌	❌	✅	4
Not so griddy: Internal representations of RNNs path integrating more than one agent	❌	✅	❌	❌	✅	❌	✅	3
Novel Object Synthesis via Adaptive Text-Image Harmony	✅	❌	✅	❌	✅	❌	✅	4
Nuclear Norm Regularization for Deep Learning	❌	✅	✅	❌	✅	❌	✅	4
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models	❌	❌	✅	✅	✅	✅	✅	5
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings	❌	✅	✅	✅	✅	❌	✅	5
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding	❌	✅	✅	✅	✅	✅	✅	6
OPEL: Optimal Transport Guided ProcedurE Learning	❌	✅	✅	❌	✅	❌	✅	4
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators	✅	✅	✅	❌	✅	❌	✅	5
OPUS: Occupancy Prediction Using a Sparse Set	❌	✅	✅	✅	✅	❌	✅	5
OSLO: One-Shot Label-Only Membership Inference Attacks	✅	❌	✅	✅	✅	❌	✅	5
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation	✅	✅	✅	❌	✅	✅	✅	6
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models	✅	✅	✅	✅	✅	❌	✅	6
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning	❌	✅	✅	✅	✅	❌	✅	5
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli	❌	✅	✅	❌	✅	❌	✅	4
Observational Scaling Laws and the Predictability of Langauge Model Performance	✅	✅	✅	✅	❌	❌	✅	5
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors	❌	❌	✅	❌	✅	✅	✅	4
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step	❌	✅	✅	✅	✅	✅	✅	6
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality	✅	❌	❌	❌	❌	❌	❌	1
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding	❌	❌	✅	✅	✅	❌	✅	4
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries	❌	❌	✅	✅	✅	❌	✅	4
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation	✅	✅	✅	❌	✅	❌	✅	5
Off-Policy Selection for Initiating Human-Centric Experimental Design	✅	❌	❌	❌	✅	❌	✅	3
Off-policy estimation with adaptively collected data: the power of online learning	✅	❌	❌	❌	❌	❌	❌	1
Offline Behavior Distillation	✅	✅	✅	❌	✅	❌	✅	5
Offline Multitask Representation Learning for Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff	✅	❌	❌	❌	❌	❌	❌	1
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression	✅	✅	✅	❌	✅	❌	✅	5
Oja's Algorithm for Streaming Sparse PCA	✅	✅	✅	✅	✅	❌	✅	6
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents	❌	❌	✅	❌	✅	❌	✅	3
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation	❌	✅	✅	✅	✅	❌	✅	5
Omnigrasp: Grasping Diverse Objects with Simulated Humanoids	✅	❌	✅	✅	✅	❌	✅	5
On $f$-Divergence Principled Domain Adaptation: An Improved Framework	❌	✅	✅	❌	✅	❌	✅	4
On Affine Homotopy between Language Encoders	❌	✅	✅	✅	✅	❌	✅	5
On Causal Discovery in the Presence of Deterministic Relations	✅	✅	✅	✅	✅	❌	✅	6
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions	✅	❌	❌	❌	❌	❌	❌	1
On Differentially Private Subspace Estimation in a Distribution-Free Setting	✅	❌	❌	❌	✅	❌	✅	3
On Differentially Private U Statistics	✅	❌	❌	❌	❌	❌	❌	1
On Divergence Measures for Training GFlowNets	❌	❌	✅	❌	❌	❌	✅	2
On Feature Learning in Structured State Space Models	❌	❌	✅	❌	✅	❌	✅	3
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion	✅	✅	✅	❌	✅	❌	✅	5
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection	❌	✅	✅	✅	✅	❌	✅	5
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability	❌	✅	❌	❌	✅	❌	✅	3
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models	✅	✅	✅	✅	❌	❌	✅	5
On Sampling Strategies for Spectral Model Sharding	✅	❌	✅	❌	❌	❌	✅	3
On Socially Fair Low-Rank Approximation and Column Subset Selection	✅	✅	✅	❌	✅	❌	✅	5
On Softmax Direct Preference Optimization for Recommendation	❌	✅	✅	✅	✅	✅	✅	6
On Sparse Canonical Correlation Analysis	✅	✅	✅	❌	✅	✅	✅	6
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)	❌	❌	❌	❌	❌	❌	❌	0
On Tractable $\Phi$-Equilibria in Non-Concave Games	✅	❌	❌	❌	❌	❌	❌	1
On Weak Regret Analysis for Dueling Bandits	✅	✅	❌	❌	❌	❌	❌	2
On conditional diffusion models for PDE simulations	✅	✅	❌	✅	✅	❌	✅	5
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
On provable privacy vulnerabilities of graph representations	❌	✅	✅	✅	✅	❌	✅	5
On scalable oversight with weak LLMs judging strong LLMs	❌	❌	✅	❌	❌	❌	✅	2
On the Ability of Developers' Training Data Preservation of Learnware	✅	❌	✅	❌	❌	❌	✅	3
On the Adversarial Robustness of Benjamini Hochberg	✅	❌	✅	✅	✅	❌	✅	5
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift	✅	❌	✅	❌	✅	❌	✅	4
On the Comparison between Multi-modal and Single-modal Contrastive Learning	❌	✅	✅	❌	✅	❌	✅	4
On the Complexity of Identification in Linear Structural Causal Models	❌	❌	❌	❌	❌	❌	❌	0
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries	❌	✅	❌	❌	✅	❌	✅	3
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners	✅	✅	❌	❌	✅	❌	✅	4
On the Computational Complexity of Private High-dimensional Model Selection	❌	✅	❌	❌	✅	❌	✅	3
On the Computational Landscape of Replicable Learning	✅	❌	❌	❌	❌	❌	❌	1
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms	❌	✅	✅	❌	✅	❌	✅	4
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation	❌	❌	❌	❌	❌	❌	❌	0
On the Efficiency of ERM in Feature Learning	❌	❌	❌	❌	❌	❌	❌	0
On the Expressive Power of Tree-Structured Probabilistic Circuits	✅	❌	❌	❌	❌	❌	❌	1
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution	❌	❌	✅	✅	❌	❌	✅	3
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function	✅	✅	✅	❌	✅	❌	✅	5
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory	❌	❌	✅	❌	❌	❌	✅	2
On the Inductive Bias of Stacking Towards Improving Reasoning	✅	❌	✅	✅	❌	❌	✅	4
On the Limitations of Fractal Dimension as a Measure of Generalization	❌	✅	✅	❌	✅	❌	✅	4
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice	✅	❌	❌	❌	❌	❌	❌	1
On the Necessity of Collaboration for Online Model Selection with Decentralized Data	✅	✅	✅	❌	✅	❌	✅	5
On the Noise Robustness of In-Context Learning for Text Generation	❌	✅	✅	❌	✅	❌	✅	4
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization	✅	✅	✅	❌	✅	❌	✅	5
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games	✅	❌	❌	❌	❌	❌	❌	1
On the Parameter Identifiability of Partially Observed Linear Causal Models	❌	✅	✅	❌	✅	❌	✅	4
On the Power of Decision Trees in Auto-Regressive Language Modeling	✅	❌	✅	✅	✅	❌	✅	5
On the Power of Small-size Graph Neural Networks for Linear Programming	✅	✅	✅	✅	✅	✅	✅	7
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models	✅	✅	❌	❌	✅	✅	✅	5
On the Role of Attention Masks and LayerNorm in Transformers	❌	❌	✅	❌	❌	❌	✅	2
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games	✅	❌	❌	❌	❌	❌	❌	1
On the Saturation Effects of Spectral Algorithms in Large Dimensions	❌	❌	❌	✅	❌	❌	✅	2
On the Scalability of Certified Adversarial Robustness with Generated Data	❌	❌	✅	❌	✅	❌	✅	3
On the Scalability of GNNs for Molecular Graphs	❌	✅	✅	✅	✅	❌	✅	5
On the Sparsity of the Strong Lottery Ticket Hypothesis	❌	❌	❌	❌	❌	❌	❌	0
On the Stability and Generalization of Meta-Learning	✅	✅	❌	❌	✅	❌	✅	4
On the Surprising Effectiveness of Attention Transfer for Vision Transformers	❌	✅	✅	❌	✅	❌	✅	4
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity	❌	✅	✅	✅	✅	❌	✅	5
On the Use of Anchoring for Training Vision Models	✅	✅	✅	✅	❌	❌	✅	5
On the Worst Prompt Performance of Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
On the cohesion and separability of average-link for hierarchical agglomerative clustering	✅	✅	✅	❌	❌	❌	❌	3
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance	❌	✅	✅	❌	✅	❌	✅	4
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge	✅	❌	✅	✅	✅	❌	✅	5
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently	✅	✅	✅	❌	❌	❌	✅	4
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos	❌	❌	✅	✅	✅	✅	✅	5
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection	❌	❌	✅	✅	❌	❌	✅	3
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context	❌	❌	❌	❌	❌	❌	✅	1
One-Shot Safety Alignment for Large Language Models via Optimal Dualization	✅	✅	✅	✅	✅	❌	✅	6
One-Step Diffusion Distillation through Score Implicit Matching	✅	❌	✅	✅	✅	❌	✅	5
One-Step Effective Diffusion Network for Real-World Image Super-Resolution	✅	✅	✅	❌	✅	❌	✅	5
One-shot Federated Learning via Synthetic Distiller-Distillate Communication	✅	✅	✅	✅	✅	✅	✅	7
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation	❌	✅	✅	✅	✅	❌	✅	5
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection	❌	❌	✅	✅	✅	✅	✅	5
OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance	✅	✅	❌	❌	✅	❌	✅	4
OneBit: Towards Extremely Low-bit Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling	✅	✅	✅	✅	✅	❌	✅	6
Online Adaptation of Language Models with a Memory of Amortized Contexts	✅	✅	✅	✅	✅	❌	✅	6
Online Bayesian Persuasion Without a Clue	✅	❌	❌	❌	❌	❌	❌	1
Online Budgeted Matching with General Bids	✅	❌	✅	✅	❌	✅	✅	5
Online Classification with Predictions	✅	❌	❌	❌	❌	❌	❌	1
Online Composite Optimization Between Stochastic and Adversarial Environments	✅	❌	✅	❌	❌	❌	✅	3
Online Consistency of the Nearest Neighbor Rule	✅	❌	❌	❌	❌	❌	❌	1
Online Control in Population Dynamics	✅	✅	❌	❌	❌	❌	✅	3
Online Control with Adversarial Disturbance for Continuous-time Linear Systems	✅	❌	✅	❌	✅	❌	✅	4
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously	✅	❌	❌	❌	❌	❌	❌	1
Online Estimation via Offline Estimation: An Information-Theoretic Framework	✅	❌	❌	❌	❌	❌	❌	1
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation	✅	✅	✅	✅	❌	❌	✅	5
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model	✅	✅	✅	✅	✅	❌	✅	6
Online Learning of Delayed Choices	✅	✅	❌	❌	✅	✅	✅	5
Online Learning with Sublinear Best-Action Queries	✅	❌	❌	❌	❌	❌	❌	1
Online Non-convex Learning in Dynamic Environments	✅	✅	✅	✅	✅	❌	✅	6
Online Posterior Sampling with a Diffusion Prior	✅	✅	✅	❌	❌	❌	✅	4
Online Relational Inference for Evolving Multi-agent Interacting Systems	❌	✅	✅	❌	✅	❌	✅	4
Online Weighted Paging with Unknown Weights	✅	❌	❌	❌	❌	❌	❌	1
OnlineTAS: An Online Baseline for Temporal Action Segmentation	✅	❌	✅	✅	✅	❌	✅	5
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?	❌	✅	✅	❌	❌	❌	✅	3
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives	❌	✅	✅	✅	✅	❌	✅	5
Open-Book Neural Algorithmic Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Open-Vocabulary Object Detection via Language Hierarchy	❌	❌	✅	❌	❌	❌	✅	2
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images	❌	✅	✅	❌	✅	❌	✅	4
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding	❌	✅	✅	❌	✅	❌	✅	4
Operator World Models for Reinforcement Learning	✅	✅	✅	❌	❌	❌	❌	3
Opponent Modeling based on Subgoal Inference	✅	✅	✅	❌	✅	❌	✅	5
Opponent Modeling with In-context Search	✅	✅	❌	❌	✅	❌	✅	4
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations	✅	✅	✅	❌	✅	❌	✅	5
Optical Diffusion Models for Image Generation	✅	✅	✅	❌	✅	❌	✅	5
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift	✅	❌	✅	✅	❌	❌	✅	4
Optimal Algorithms for Augmented Testing of Discrete Distributions	✅	✅	✅	❌	❌	❌	✅	4
Optimal Algorithms for Learning Partitions with Faulty Oracles	✅	❌	❌	❌	❌	❌	❌	1
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints	✅	✅	✅	❌	✅	❌	✅	5
Optimal Batched Best Arm Identification	✅	✅	❌	❌	✅	❌	✅	4
Optimal Classification under Performative Distribution Shift	✅	❌	✅	❌	❌	❌	✅	3
Optimal Design for Human Preference Elicitation	✅	❌	✅	❌	❌	❌	✅	3
Optimal Flow Matching: Learning Straight Trajectories in Just One Step	✅	✅	✅	❌	✅	❌	✅	5
Optimal Hypothesis Selection in (Almost) Linear Time	✅	❌	❌	❌	❌	❌	❌	1
Optimal Multi-Fidelity Best-Arm Identification	✅	✅	❌	❌	✅	❌	✅	4
Optimal Multiclass U-Calibration Error and Beyond	✅	❌	❌	❌	❌	❌	❌	1
Optimal Parallelization of Boosting	✅	❌	❌	❌	❌	❌	❌	1
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime	❌	❌	❌	❌	❌	❌	❌	0
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms	❌	❌	❌	❌	❌	❌	❌	0
Optimal Scalarizations for Sublinear Hypervolume Regret	✅	✅	✅	❌	❌	❌	✅	4
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis	✅	✅	❌	❌	✅	✅	✅	5
Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification	✅	❌	✅	✅	✅	❌	✅	5
Optimal ablation for interpretability	✅	✅	✅	❌	✅	❌	✅	5
Optimal and Approximate Adaptive Stochastic Quantization	✅	✅	✅	❌	✅	✅	❌	5
Optimal deep learning of holomorphic operators between Banach spaces	❌	✅	❌	❌	✅	✅	✅	4
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos	❌	✅	✅	✅	✅	❌	✅	5
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL	✅	✅	✅	❌	❌	❌	✅	4
Optimistic Verifiable Training by Controlling Hardware Nondeterminism	✅	✅	✅	❌	✅	✅	✅	6
Optimization Algorithm Design via Electric Circuits	❌	✅	❌	❌	❌	❌	✅	2
Optimization Can Learn Johnson Lindenstrauss Embeddings	✅	✅	❌	❌	❌	❌	✅	3
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Optimizing Automatic Differentiation with Deep Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition	✅	❌	❌	❌	❌	❌	❌	1
Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits	✅	✅	❌	❌	✅	❌	✅	4
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks	❌	✅	✅	❌	✅	❌	✅	4
Oracle-Efficient Differentially Private Learning with Public Data	✅	❌	❌	❌	❌	❌	❌	1
Oracle-Efficient Reinforcement Learning for Max Value Ensembles	✅	✅	✅	❌	✅	❌	✅	5
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
Order-Independence Without Fine Tuning	❌	✅	✅	❌	✅	❌	✅	4
Ordered Momentum for Asynchronous SGD	✅	✅	✅	❌	✅	✅	✅	6
Ordering-Based Causal Discovery for Linear and Nonlinear Relations	✅	✅	✅	❌	✅	❌	✅	5
Out-Of-Distribution Detection with Diversification (Provably)	✅	✅	✅	✅	✅	✅	✅	7
Out-of-Distribution Detection with a Single Unconditional Diffusion Model	✅	✅	✅	❌	✅	❌	✅	5
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport	✅	❌	❌	❌	✅	✅	✅	4
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation	✅	✅	✅	✅	✅	❌	✅	6
Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Overcoming Common Flaws in the Evaluation of Selective Classification Systems	❌	✅	✅	✅	✅	❌	✅	5
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL	✅	❌	✅	❌	✅	❌	✅	4
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality	❌	✅	❌	❌	✅	❌	✅	3
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning	❌	✅	✅	❌	✅	✅	✅	5
OxonFair: A Flexible Toolkit for Algorithmic Fairness	❌	✅	✅	✅	✅	❌	✅	5
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics	❌	✅	✅	❌	✅	❌	✅	4
PAC-Bayes-Chernoff bounds for unbounded losses	❌	✅	✅	❌	❌	❌	✅	3
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization	❌	✅	✅	✅	✅	❌	✅	5
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices	❌	✅	✅	✅	✅	✅	✅	6
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining	✅	✅	✅	✅	✅	❌	✅	6
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders	❌	✅	✅	❌	✅	❌	✅	4
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding	❌	✅	✅	✅	✅	❌	✅	5
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation	✅	❌	✅	❌	✅	❌	✅	4
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation	❌	✅	✅	❌	✅	❌	✅	4
PLIP: Language-Image Pre-training for Person Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond	❌	✅	✅	❌	✅	❌	✅	4
PRODuctive bandits: Importance Weighting No More	❌	❌	❌	❌	❌	❌	❌	0
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation	❌	✅	✅	✅	✅	❌	✅	5
PTQ4DiT: Post-training Quantization for Diffusion Transformers	✅	✅	✅	✅	✅	❌	✅	6
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling	✅	✅	✅	✅	❌	❌	❌	4
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression	✅	✅	✅	✅	✅	❌	✅	6
PaCE: Parsimonious Concept Engineering for Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition	❌	✅	✅	✅	✅	❌	✅	5
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher	❌	✅	✅	✅	✅	❌	✅	5
PageRank Bandits for Link Prediction	✅	✅	✅	✅	✅	❌	✅	6
Panacea: Pareto Alignment via Preference Adaptation for LLMs	✅	❌	✅	❌	✅	❌	✅	4
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models	❌	❌	✅	❌	✅	❌	✅	3
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation	❌	✅	✅	✅	✅	❌	✅	5
Parallel Backpropagation for Shared-Feature Visualization	❌	✅	✅	✅	✅	❌	✅	5
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping	✅	✅	✅	❌	❌	✅	✅	5
Parallelizing Linear Transformers with the Delta Rule over Sequence Length	✅	✅	✅	❌	✅	❌	✅	5
Parallelizing Model-based Reinforcement Learning Over the Sequence Length	✅	✅	✅	❌	✅	❌	✅	5
Parameter Competition Balancing for Model Merging	✅	✅	✅	✅	✅	❌	✅	6
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts	❌	❌	✅	❌	✅	❌	✅	3
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent	❌	❌	✅	❌	❌	❌	✅	2
Parameter-Inverted Image Pyramid Networks	❌	✅	✅	❌	✅	❌	✅	4
Parameter-free Clipped Gradient Descent Meets Polyak	✅	✅	✅	❌	✅	❌	✅	5
Parameterized Approximation Schemes for Fair-Range Clustering	✅	❌	❌	❌	❌	❌	❌	1
Parametric model reduction of mean-field and stochastic systems via higher-order action matching	❌	✅	❌	❌	✅	❌	✅	3
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Parseval Regularization for Continual Reinforcement Learning	❌	❌	✅	✅	✅	❌	✅	4
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting	❌	✅	✅	❌	✅	❌	✅	4
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits	✅	✅	❌	❌	✅	❌	✅	4
Partial Transportability for Domain Generalization	✅	✅	✅	❌	✅	❌	✅	5
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics	❌	✅	❌	❌	✅	✅	✅	4
Particle Semi-Implicit Variational Inference	✅	✅	✅	❌	✅	❌	✅	5
Paths to Equilibrium in Games	❌	❌	❌	❌	❌	❌	❌	0
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator	✅	✅	✅	❌	✅	❌	✅	5
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling	✅	✅	✅	✅	✅	❌	✅	6
Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective	❌	✅	✅	❌	✅	❌	✅	4
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications	❌	✅	✅	✅	✅	❌	✅	5
Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds	✅	✅	✅	❌	✅	✅	✅	6
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers	❌	✅	✅	✅	✅	❌	✅	5
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering	❌	✅	✅	❌	❌	❌	✅	3
Perceptual Fairness in Image Restoration	❌	❌	✅	❌	✅	✅	✅	4
Performative Control for Linear Dynamical Systems	✅	❌	❌	❌	❌	❌	✅	2
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis	❌	✅	✅	✅	✅	❌	✅	5
Periodic agent-state based Q-learning for POMDPs	❌	❌	❌	❌	❌	❌	✅	1
Perplexity-aware Correction for Robust Alignment with Noisy Preferences	✅	✅	✅	✅	✅	❌	✅	6
Persistence Homology Distillation for Semi-supervised Continual Learning	✅	✅	✅	✅	❌	❌	✅	5
Persistent Homology for High-dimensional Data Based on Spectral Methods	❌	✅	✅	❌	✅	✅	✅	5
Persistent Test-time Adaptation in Recurring Testing Scenarios	✅	✅	✅	✅	✅	❌	✅	6
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Personalized Federated Learning via Feature Distribution Adaptation	✅	✅	✅	✅	✅	✅	✅	7
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning	✅	✅	✅	❌	✅	✅	✅	6
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization	✅	✅	✅	❌	✅	❌	✅	5
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning	✅	❌	✅	❌	✅	❌	✅	4
Pessimistic Backward Policy for GFlowNets	✅	✅	✅	✅	✅	❌	✅	6
Phased Consistency Models	✅	✅	✅	✅	✅	❌	✅	6
PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging	❌	✅	✅	❌	✅	❌	✅	4
PhyRecon: Physically Plausible Neural Scene Reconstruction	✅	✅	✅	❌	✅	❌	✅	5
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation	✅	❌	✅	❌	❌	❌	✅	3
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning	✅	❌	✅	✅	✅	❌	✅	5
Physically Compatible 3D Object Modeling from a Single Image	❌	✅	✅	❌	✅	❌	✅	4
Physics-Constrained Comprehensive Optical Neural Networks	❌	✅	✅	❌	❌	❌	✅	3
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling	✅	✅	✅	✅	❌	❌	✅	5
Physics-Informed Variational State-Space Gaussian Processes	❌	✅	✅	❌	✅	❌	✅	4
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization	❌	✅	✅	❌	✅	❌	✅	4
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees	❌	✅	❌	✅	✅	✅	✅	5
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Piecewise deterministic generative models	✅	✅	✅	❌	✅	❌	✅	5
Piecewise-Stationary Bandits with Knapsacks	✅	❌	❌	❌	✅	❌	✅	3
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction	✅	✅	✅	✅	✅	✅	✅	7
Pipeline Parallelism with Controllable Memory	❌	✅	❌	❌	✅	❌	✅	3
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs	❌	✅	✅	❌	✅	❌	✅	4
Plant-and-Steal: Truthful Fair Allocations via Predictions	✅	✅	❌	❌	✅	✅	✅	5
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis	❌	✅	✅	✅	✅	❌	✅	5
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection	❌	✅	✅	✅	✅	✅	✅	6
PointMamba: A Simple State Space Model for Point Cloud Analysis	❌	✅	✅	❌	✅	❌	✅	4
Poisson Variational Autoencoder	✅	✅	✅	✅	✅	❌	✅	6
Policy Aggregation	✅	✅	✅	❌	✅	✅	✅	6
Policy Improvement using Language Feedback Models	✅	✅	✅	✅	✅	✅	✅	7
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting	✅	❌	✅	❌	✅	❌	✅	4
Policy Mirror Descent with Lookahead	✅	✅	✅	❌	❌	❌	✅	4
Policy Optimization for Robust Average Reward MDPs	✅	❌	✅	❌	✅	❌	✅	4
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning	✅	✅	✅	❌	✅	❌	✅	5
Polyhedral Complex Derivation from Piecewise Trilinear Networks	✅	✅	✅	❌	✅	✅	✅	6
Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games	✅	❌	❌	❌	❌	❌	❌	1
Poseidon: Efficient Foundation Models for PDEs	❌	✅	✅	✅	✅	❌	✅	5
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure	❌	✅	❌	✅	✅	✅	✅	5
Post-Hoc Reversal: Are We Selecting Models Prematurely?	❌	✅	✅	✅	✅	❌	✅	5
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation	❌	✅	✅	✅	✅	❌	✅	5
PowerPM: Foundation Model for Power Systems	❌	✅	✅	✅	✅	❌	✅	5
Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint	✅	✅	✅	❌	✅	✅	✅	6
Practical Bayesian Algorithm Execution via Posterior Sampling	✅	✅	✅	❌	❌	❌	✅	4
Practical Shuffle Coding	✅	✅	✅	❌	✅	❌	✅	5
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation	✅	✅	✅	❌	✅	❌	✅	5
Pre-trained Large Language Models Use Fourier Features to Compute Addition	❌	❌	❌	✅	✅	❌	✅	3
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control	❌	✅	✅	✅	✅	❌	✅	5
Pre-training Differentially Private Models with Limited Public Data	✅	✅	✅	❌	❌	✅	✅	5
Precipitation Downscaling with Spatiotemporal Video Diffusion	✅	✅	✅	✅	✅	❌	✅	6
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks	❌	✅	❌	❌	❌	❌	✅	2
Predicting Future Actions of Reinforcement Learning Agents	❌	✅	❌	✅	✅	❌	✅	4
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms	✅	✅	❌	❌	✅	❌	✅	4
Predicting Label Distribution from Ternary Labels	❌	❌	✅	✅	❌	❌	✅	3
Predicting the Performance of Foundation Models via Agreement-on-the-Line	❌	✅	✅	✅	✅	❌	✅	5
Prediction with Action: Visual Policy Learning via Joint Denoising Process	❌	✅	✅	❌	✅	❌	✅	4
Prediction-Powered Ranking of Large Language Models	✅	✅	✅	❌	✅	✅	✅	6
Predictive Attractor Models	✅	✅	✅	❌	❌	❌	✅	4
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning	✅	✅	✅	✅	✅	❌	✅	6
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference	❌	✅	✅	✅	✅	❌	✅	5
Preference Alignment with Flow Matching	✅	✅	✅	❌	✅	❌	✅	5
Preference Learning Algorithms Do Not Learn Preference Rankings	❌	✅	✅	✅	✅	❌	✅	5
Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice	❌	✅	✅	✅	✅	❌	✅	5
Preference-based Pure Exploration	✅	❌	❌	❌	❌	❌	❌	1
Preferential Normalizing Flows	✅	✅	✅	❌	✅	❌	✅	5
Pretrained Optimization Model for Zero-Shot Black Box Optimization	✅	✅	✅	❌	✅	❌	✅	5
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context	✅	❌	❌	❌	❌	❌	✅	2
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs	✅	✅	✅	❌	❌	❌	✅	4
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport	✅	✅	✅	❌	❌	✅	✅	5
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization	❌	✅	✅	✅	✅	❌	✅	5
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization	❌	✅	✅	✅	✅	❌	✅	5
Pricing and Competition for Generative AI	❌	❌	❌	❌	❌	❌	❌	0
Principled Bayesian Optimization in Collaboration with Human Experts	✅	✅	✅	❌	✅	❌	✅	5
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors	✅	✅	✅	❌	✅	❌	✅	5
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy	❌	✅	✅	❌	❌	❌	❌	2
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs	❌	❌	✅	❌	✅	❌	✅	3
PrivCirNet: Efficient Private Inference via Block Circulant Transformation	✅	✅	✅	✅	✅	❌	✅	6
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models	❌	✅	✅	❌	✅	❌	✅	4
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training	✅	❌	✅	❌	✅	❌	✅	4
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry	✅	❌	❌	❌	❌	❌	❌	1
Private Attribute Inference from Images with Vision-Language Models	❌	✅	❌	❌	✅	❌	✅	3
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust	✅	❌	❌	❌	❌	❌	❌	1
Private Geometric Median	✅	✅	❌	❌	❌	❌	✅	3
Private Online Learning via Lazy Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions	✅	❌	❌	❌	❌	❌	❌	1
Private and Personalized Frequency Estimation in a Federated Setting	✅	❌	✅	✅	✅	❌	✅	5
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing	❌	✅	✅	❌	✅	❌	✅	4
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention	❌	✅	✅	✅	✅	❌	✅	5
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm	✅	✅	✅	✅	❌	❌	✅	5
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness	✅	✅	✅	✅	❌	❌	✅	5
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics	✅	✅	❌	❌	✅	❌	✅	4
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data	✅	✅	✅	❌	✅	❌	✅	5
Probabilistic Graph Rewiring via Virtual Nodes	❌	✅	✅	✅	✅	❌	✅	5
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Probabilistic size-and-shape functional mixed models	✅	✅	✅	❌	✅	✅	✅	6
Probablistic Emulation of a Global Climate Model with Spherical DYffusion	✅	✅	✅	✅	✅	❌	✅	6
Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach	✅	✅	✅	❌	✅	❌	✅	5
Probing the Decision Boundaries of In-context Learning in Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation	✅	❌	✅	✅	✅	❌	✅	5
Progressive Entropic Optimal Transport Solvers	✅	✅	✅	✅	✅	❌	✅	6
Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images	✅	❌	✅	✅	✅	❌	✅	5
Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions	✅	❌	❌	❌	❌	❌	❌	1
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars	✅	✅	✅	✅	✅	❌	✅	6
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
PromptFix: You Prompt and We Fix the Photo	✅	✅	✅	✅	✅	❌	✅	6
Propensity Score Alignment of Unpaired Multimodal Data	❌	✅	✅	✅	❌	✅	✅	5
Proportional Fairness in Clustering: A Social Choice Perspective	❌	❌	❌	❌	❌	❌	❌	0
Proportional Fairness in Non-Centroid Clustering	✅	❌	✅	❌	✅	❌	✅	4
Prospective Learning: Learning for a Dynamic Future	❌	✅	✅	❌	❌	❌	✅	3
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning	✅	✅	✅	✅	✅	❌	✅	6
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning	❌	✅	✅	✅	✅	✅	✅	6
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach	✅	✅	✅	✅	✅	❌	✅	6
Protecting Your LLMs with Information Bottleneck	✅	✅	✅	❌	✅	✅	✅	6
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer	❌	✅	✅	✅	✅	✅	✅	6
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery	✅	✅	✅	❌	✅	❌	✅	5
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field	❌	❌	✅	❌	✅	❌	❌	2
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks	❌	✅	❌	❌	❌	❌	✅	2
Provable Benefit of Cutout and CutMix for Feature Learning	❌	❌	✅	❌	✅	❌	✅	3
Provable Benefits of Complex Parameterizations for Structured State Space Models	❌	✅	✅	❌	✅	❌	✅	4
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation	❌	❌	✅	✅	✅	❌	✅	4
Provable Partially Observable Reinforcement Learning with Privileged Information	✅	❌	❌	❌	✅	❌	✅	3
Provable Posterior Sampling with Denoising Oracles via Tilted Transport	✅	✅	✅	❌	✅	❌	✅	5
Provable Tempered Overfitting of Minimal Nets and Typical Nets	❌	❌	❌	❌	❌	❌	❌	0
Provable and Efficient Dataset Distillation for Kernel Ridge Regression	✅	✅	✅	✅	✅	❌	✅	6
Provably Efficient Interactive-Grounded Learning with Personalized Reward	✅	❌	✅	❌	✅	❌	✅	4
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling	✅	✅	✅	✅	✅	❌	✅	6
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer	✅	✅	✅	✅	✅	❌	✅	6
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes	✅	✅	✅	✅	✅	✅	✅	7
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction	✅	❌	✅	✅	✅	❌	✅	5
Provably Safe Neural Network Controllers via Differential Dynamic Logic	✅	✅	✅	❌	✅	✅	✅	6
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning	✅	✅	❌	❌	✅	✅	✅	5
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation	✅	✅	✅	❌	✅	❌	✅	5
Proving Theorems Recursively	✅	✅	✅	✅	✅	✅	✅	7
Proximal Causal Inference With Text Data	✅	✅	✅	✅	✅	❌	✅	6
ProxyFusion: Face Feature Aggregation Through Sparse Experts	❌	✅	✅	✅	✅	❌	✅	5
Prune and Repaint: Content-Aware Image Retargeting for any Ratio	❌	✅	✅	❌	✅	✅	✅	5
Pruning neural network models for gene regulatory dynamics using data and domain knowledge	✅	✅	✅	✅	❌	❌	✅	5
Pseudo-Private Data Guided Model Inversion Attacks	✅	✅	✅	❌	✅	✅	✅	6
Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising	❌	❌	✅	✅	✅	✅	✅	5
PuLID: Pure and Lightning ID Customization via Contrastive Alignment	❌	✅	✅	❌	✅	❌	✅	4
Public-data Assisted Private Stochastic Optimization: Power and Limitations	✅	❌	❌	❌	❌	❌	❌	1
Pure Message Passing Can Estimate Common Neighbor for Link Prediction	❌	✅	✅	✅	✅	❌	✅	5
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics	✅	✅	✅	❌	✅	❌	✅	5
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning	✅	❌	❌	❌	❌	❌	✅	2
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model	✅	✅	✅	❌	✅	❌	✅	5
Q-VLM: Post-training Quantization for Large Vision-Language Models	❌	✅	✅	✅	❌	❌	✅	4
QBB: Quantization with Binary Bases for LLMs	❌	❌	✅	❌	✅	❌	✅	3
QGFN: Controllable Greediness with Action Values	✅	✅	✅	✅	✅	❌	✅	6
QKFormer: Hierarchical Spiking Transformer using Q-K Attention	❌	✅	✅	✅	✅	❌	✅	5
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion	❌	❌	✅	✅	✅	❌	✅	4
QTIP: Quantization with Trellises and Incoherence Processing	✅	✅	✅	❌	✅	❌	✅	5
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos	❌	❌	✅	❌	✅	❌	✅	3
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization	✅	✅	✅	✅	✅	✅	✅	7
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation	✅	✅	✅	❌	✅	❌	✅	5
QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation	✅	❌	✅	✅	✅	❌	✅	5
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs	✅	✅	✅	❌	❌	❌	✅	4
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs	❌	✅	✅	❌	✅	❌	✅	4
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model	✅	✅	✅	✅	✅	❌	✅	6
Quadratic Quantum Variational Monte Carlo	✅	❌	❌	❌	✅	❌	✅	3
Qualitative Mechanism Independence	❌	❌	❌	❌	❌	❌	❌	0
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing	❌	✅	❌	❌	✅	❌	✅	3
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner	✅	✅	✅	✅	✅	❌	✅	6
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing	❌	✅	✅	✅	❌	❌	✅	4
Quantifying the Gain in Weak-to-Strong Generalization	❌	✅	✅	✅	✅	❌	✅	5
Quantitative Convergences of Lie Group Momentum Optimizers	✅	✅	✅	✅	✅	❌	✅	6
Quantum Algorithms for Non-smooth Non-convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Quantum Deep Equilibrium Models	❌	✅	✅	✅	✅	❌	✅	5
Quantum algorithm for large-scale market equilibrium computation	✅	✅	❌	❌	✅	❌	✅	4
Quasi-Bayes meets Vines	✅	✅	✅	✅	✅	✅	✅	7
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control	❌	✅	✅	✅	✅	❌	✅	5
Query-Based Adversarial Prompt Generation	✅	✅	✅	✅	✅	❌	✅	6
Query-Efficient Correlation Clustering with Noisy Oracle	✅	✅	✅	❌	✅	❌	✅	5
Questioning the Survey Responses of Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Queueing Matching Bandits with Preference Feedback	✅	✅	✅	❌	❌	❌	✅	4
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction	❌	✅	✅	❌	✅	❌	✅	4
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
RAGraph: A General Retrieval-Augmented Graph Learning Framework	✅	✅	✅	❌	✅	✅	✅	6
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness	✅	✅	✅	✅	✅	❌	✅	6
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees	✅	✅	✅	❌	✅	❌	✅	5
RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling	❌	✅	✅	❌	❌	❌	✅	3
REBEL: Reinforcement Learning via Regressing Relative Rewards	✅	✅	✅	✅	✅	❌	✅	6
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR	❌	✅	✅	✅	✅	❌	✅	5
REDUCR: Robust Data Downsampling using Class Priority Reweighting	✅	✅	✅	✅	✅	❌	✅	6
RETR: Multi-View Radar Detection Transformer for Indoor Perception	❌	✅	✅	✅	✅	❌	✅	5
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation	✅	✅	✅	❌	✅	❌	✅	5
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation	✅	✅	✅	✅	✅	❌	✅	6
RGFN: Synthesizable Molecular Generation Using GFlowNets	❌	✅	✅	❌	✅	✅	✅	5
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space	✅	❌	✅	❌	✅	✅	✅	5
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation	✅	❌	❌	❌	❌	❌	❌	1
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold	✅	❌	✅	✅	✅	❌	✅	5
RL-GPT: Integrating Reinforcement Learning and Code-as-policy	✅	❌	✅	❌	✅	❌	✅	4
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification	✅	✅	✅	✅	✅	❌	✅	6
RMLR: Extending Multinomial Logistic Regression into General Geometries	❌	✅	✅	✅	✅	❌	✅	5
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization	✅	✅	✅	❌	✅	❌	✅	5
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making	✅	✅	✅	❌	✅	❌	✅	5
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions	❌	✅	✅	✅	✅	❌	✅	5
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions	✅	✅	✅	❌	✅	❌	✅	5
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field	❌	✅	✅	❌	✅	❌	✅	4
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar	❌	✅	✅	✅	✅	❌	✅	5
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts	✅	❌	✅	✅	✅	❌	✅	5
RanDumb: Random Representations Outperform Online Continually Learned Representations	❌	✅	✅	✅	✅	❌	✅	5
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding	✅	✅	✅	❌	❌	❌	✅	4
Random Function Descent	❌	✅	✅	❌	❌	❌	✅	3
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation	✅	❌	✅	❌	✅	❌	✅	4
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy	✅	✅	✅	❌	✅	✅	✅	6
Randomized Strategic Facility Location with Predictions	✅	❌	❌	❌	❌	❌	❌	1
Randomized Truthful Auctions with Learning Agents	✅	❌	❌	❌	❌	❌	❌	1
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces	❌	✅	❌	❌	✅	❌	✅	3
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs	❌	✅	✅	❌	✅	❌	✅	4
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier	✅	✅	✅	✅	✅	❌	✅	6
Rapid Plug-in Defenders	❌	✅	✅	❌	✅	❌	✅	4
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting	❌	✅	✅	✅	✅	❌	✅	5
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution	❌	✅	✅	✅	✅	❌	✅	5
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration	❌	❌	✅	✅	✅	❌	✅	4
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation	❌	✅	✅	❌	✅	❌	✅	4
ReFT: Representation Finetuning for Language Models	❌	✅	✅	✅	✅	❌	✅	5
ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting	✅	❌	✅	❌	✅	❌	✅	4
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization	✅	✅	✅	✅	❌	❌	✅	5
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting	❌	❌	✅	❌	✅	❌	✅	3
ReMoDetect: Reward Models Recognize Aligned LLM's Generations	❌	✅	✅	✅	✅	❌	✅	5
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization	✅	✅	✅	❌	✅	❌	✅	5
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search	✅	✅	✅	❌	❌	❌	✅	4
ReVideo: Remake a Video with Motion and Content Control	❌	✅	✅	❌	✅	❌	✅	4
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Real-Time Selection Under General Constraints via Predictive Inference	✅	✅	✅	✅	✅	✅	✅	7
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices	❌	❌	✅	❌	✅	❌	✅	3
Real-time Stereo-based 3D Object Detection for Streaming Perception	❌	✅	✅	✅	✅	❌	✅	5
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network	✅	❌	✅	❌	✅	❌	✅	4
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer	❌	❌	✅	✅	❌	❌	❌	2
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving	❌	✅	✅	✅	✅	❌	✅	5
Reasons and Solutions for the Decline in Model Performance after Editing	❌	✅	✅	❌	❌	❌	✅	3
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training	❌	✅	✅	❌	✅	❌	✅	4
Reciprocal Learning	✅	✅	✅	❌	❌	❌	❌	3
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents	✅	✅	✅	❌	✅	❌	✅	5
Recognize Any Regions	❌	❌	✅	✅	✅	❌	✅	4
Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity	❌	❌	✅	❌	❌	❌	✅	2
Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model	✅	✅	✅	❌	✅	✅	✅	6
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable	✅	❌	✅	❌	❌	❌	✅	3
Reconstruction of Manipulated Garment with Guided Deformation Prior	❌	✅	✅	❌	✅	❌	✅	4
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition	✅	✅	✅	❌	✅	❌	✅	5
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance	✅	✅	✅	❌	✅	❌	✅	5
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery	❌	✅	✅	❌	✅	❌	✅	4
Recurrent Reinforcement Learning with Memoroids	✅	✅	✅	❌	✅	❌	✅	5
Recurrent neural network dynamical systems for biological vision	❌	✅	✅	❌	❌	❌	✅	3
Recurrent neural networks: vanishing and exploding gradients are not the end of the story	❌	✅	✅	❌	✅	❌	✅	4
Recursive Introspection: Teaching Language Model Agents How to Self-Improve	✅	✅	✅	❌	✅	❌	✅	5
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss	❌	✅	✅	✅	❌	❌	✅	4
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention	❌	❌	✅	✅	✅	✅	✅	5
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance	❌	✅	❌	❌	✅	✅	✅	4
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Referencing Where to Focus: Improving Visual Grounding with Referential Query	❌	✅	✅	✅	✅	❌	✅	5
Referring Human Pose and Mask Estimation In the Wild	❌	✅	✅	✅	✅	❌	✅	5
Reflective Multi-Agent Collaboration based on Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Refusal in Language Models Is Mediated by a Single Direction	❌	✅	✅	✅	✅	❌	✅	5
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks	✅	✅	✅	✅	✅	✅	✅	7
Regression under demographic parity constraints via unlabeled post-processing	✅	✅	✅	✅	✅	❌	✅	6
Regret Minimization in Stackelberg Games with Side Information	✅	❌	❌	❌	❌	❌	✅	2
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network	✅	✅	✅	❌	✅	❌	✅	5
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment	✅	✅	✅	❌	✅	❌	✅	5
Regularized Q-Learning	✅	✅	✅	❌	❌	❌	✅	4
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs	❌	✅	✅	✅	✅	❌	✅	5
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference	✅	❌	✅	❌	✅	❌	✅	4
Reinforced Cross-Domain Knowledge Distillation on Time Series Data	✅	✅	✅	❌	✅	❌	✅	5
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers	❌	✅	✅	❌	✅	❌	✅	4
Reinforcement Learning Guided Semi-Supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer	❌	✅	✅	❌	✅	❌	✅	4
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity	✅	❌	❌	❌	❌	❌	❌	1
Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems	✅	✅	✅	❌	✅	✅	✅	6
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control	❌	✅	✅	❌	✅	❌	✅	4
Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards	✅	❌	❌	❌	❌	❌	❌	1
Reinforcement Learning with Lookahead Information	✅	❌	❌	❌	❌	❌	❌	1
Reinforcing LLM Agents via Policy Optimization with Action Decomposition	✅	✅	✅	✅	✅	❌	✅	6
Rejection via Learning Density Ratios	✅	✅	✅	✅	✅	❌	✅	6
Relating Hopfield Networks to Episodic Control	❌	✅	✅	❌	❌	❌	✅	3
Relational Concept Bottleneck Models	❌	✅	✅	✅	✅	✅	✅	6
Relational Verification Leaps Forward with RABBit	✅	✅	✅	❌	✅	✅	✅	6
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Reliable Learning of Halfspaces under Gaussian Marginals	✅	❌	❌	❌	❌	❌	❌	1
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising	✅	✅	✅	❌	❌	❌	✅	4
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad	✅	✅	✅	❌	✅	❌	✅	5
Renovating Names in Open-Vocabulary Segmentation Benchmarks	❌	✅	✅	✅	✅	❌	✅	5
Reparameterization invariance in approximate Bayesian inference	✅	✅	✅	❌	✅	❌	✅	5
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling	✅	✅	✅	✅	✅	❌	✅	6
ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations	❌	❌	✅	❌	✅	❌	✅	3
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach	✅	✅	✅	✅	✅	✅	✅	7
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma	❌	❌	❌	❌	❌	❌	❌	0
Replicable Uniformity Testing	✅	❌	❌	❌	❌	❌	❌	1
Representation Noising: A Defence Mechanism Against Harmful Finetuning	✅	✅	✅	✅	✅	❌	✅	6
Reproducibility of predictive networks for mouse visual cortex	❌	✅	✅	✅	✅	❌	✅	5
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design	❌	❌	✅	❌	❌	❌	✅	2
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe	✅	✅	✅	❌	✅	❌	✅	5
Reranking Laws for Language Generation: A Communication-Theoretic Perspective	❌	✅	✅	✅	✅	❌	✅	5
ResAD: A Simple Framework for Class Generalizable Anomaly Detection	❌	✅	✅	❌	✅	❌	✅	4
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise	✅	✅	✅	✅	✅	❌	✅	6
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization	❌	✅	✅	✅	✅	❌	✅	5
Resolving Discrepancies in Compute-Optimal Scaling of Language Models	❌	✅	✅	✅	✅	❌	✅	5
Resource-Aware Federated Self-Supervised Learning with Global Class Representations	✅	✅	✅	✅	✅	❌	✅	6
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models	❌	✅	✅	❌	✅	✅	✅	5
Rethinking 3D Convolution in $\ell_p$-norm Space	✅	✅	✅	❌	✅	❌	✅	5
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective	❌	✅	✅	✅	❌	❌	✅	4
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus	✅	✅	✅	❌	✅	❌	✅	5
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Imbalance in Image Super-Resolution for Efficient Inference	❌	✅	✅	❌	✅	❌	✅	4
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment	✅	✅	✅	❌	✅	❌	✅	5
Rethinking LLM Memorization through the Lens of Adversarial Compression	✅	✅	✅	❌	✅	❌	✅	5
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models	✅	✅	✅	❌	✅	✅	✅	6
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective	✅	✅	✅	❌	✅	❌	✅	5
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity	❌	❌	✅	❌	✅	❌	✅	3
Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Optimal Transport in Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz	❌	❌	✅	❌	✅	✅	✅	4
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Score Distillation as a Bridge Between Image Distributions	❌	❌	✅	✅	❌	❌	✅	3
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Rethinking the Capacity of Graph Neural Networks for Branching Strategy	✅	✅	❌	❌	✅	✅	✅	5
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective	✅	✅	✅	❌	❌	❌	✅	4
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks	❌	✅	✅	❌	❌	❌	✅	3
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective	✅	✅	✅	✅	✅	✅	✅	7
Retrieval & Fine-Tuning for In-Context Tabular Models	❌	✅	✅	✅	✅	❌	✅	5
Retrieval-Augmented Diffusion Models for Time Series Forecasting	✅	✅	✅	✅	✅	✅	✅	7
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge	✅	✅	✅	✅	✅	✅	✅	7
Return of Unconditional Generation: A Self-supervised Representation Generation Method	❌	✅	✅	✅	✅	❌	✅	5
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data	✅	✅	✅	❌	✅	❌	✅	5
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference	✅	❌	✅	❌	✅	❌	✅	4
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference	❌	✅	✅	❌	✅	✅	✅	5
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection	✅	❌	✅	❌	✅	❌	✅	4
Revisiting Differentially Private ReLU Regression	✅	❌	✅	❌	❌	❌	✅	3
Revisiting Ensembling in One-Shot Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning	❌	✅	✅	✅	❌	❌	✅	4
Revisiting Score Propagation in Graph Out-of-Distribution Detection	❌	✅	✅	❌	❌	❌	✅	3
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective	✅	✅	✅	❌	✅	❌	✅	5
Revisiting motion information for RGB-Event tracking with MOT philosophy	❌	❌	✅	❌	✅	✅	✅	4
Revisiting the Integration of Convolution and Attention for Vision Backbone	❌	❌	✅	❌	✅	❌	✅	3
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation	✅	✅	✅	❌	✅	✅	✅	6
Reward Machines for Deep RL in Noisy and Uncertain Environments	✅	✅	❌	✅	✅	❌	✅	5
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy	❌	❌	✅	❌	❌	❌	✅	2
Right this way: Can VLMs Guide Us to See More to Answer Questions?	✅	✅	✅	❌	✅	❌	✅	5
Risk-Averse Fine-tuning of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Risk-sensitive control as inference with Rényi divergence	❌	✅	✅	❌	✅	❌	✅	4
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions	✅	✅	✅	❌	✅	❌	✅	5
RoPINN: Region Optimized Physics-Informed Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Road Network Representation Learning with the Third Law of Geography	❌	✅	✅	❌	✅	✅	✅	5
RobIR: Robust Inverse Rendering for High-Illumination Scenes	❌	✅	✅	❌	✅	❌	✅	4
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation	❌	❌	✅	✅	✅	❌	✅	4
Robot Policy Learning with Temporal Optimal Transport Reward	✅	✅	✅	❌	✅	✅	✅	6
Robust Conformal Prediction Using Privileged Information	✅	✅	✅	✅	✅	❌	✅	6
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence	❌	✅	✅	❌	✅	✅	✅	5
Robust Fine-tuning of Zero-shot Models via Variance Reduction	✅	✅	✅	✅	✅	❌	✅	6
Robust Gaussian Processes via Relevance Pursuit	✅	✅	✅	❌	✅	❌	✅	5
Robust Graph Neural Networks via Unbiased Aggregation	❌	✅	✅	✅	❌	❌	✅	4
Robust Mixture Learning when Outliers Overwhelm Small Groups	✅	✅	✅	❌	✅	❌	✅	5
Robust Neural Contextual Bandit against Adversarial Corruptions	✅	✅	✅	❌	✅	❌	✅	5
Robust Offline Active Learning on Graphs	✅	✅	✅	❌	❌	❌	✅	4
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks	✅	✅	✅	❌	✅	❌	✅	5
Robust Reinforcement Learning from Corrupted Human Feedback	❌	❌	✅	✅	✅	❌	✅	4
Robust Reinforcement Learning with General Utility	✅	✅	❌	❌	✅	✅	✅	5
Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination	❌	✅	✅	✅	✅	✅	✅	6
Robust Sparse Regression with Non-Isotropic Designs	✅	❌	❌	❌	❌	❌	❌	1
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications	✅	✅	✅	❌	❌	❌	✅	4
Robust group and simultaneous inferences for high-dimensional single index model	✅	✅	✅	❌	✅	❌	✅	5
Robustly overfitting latents for flexible neural image compression	❌	✅	✅	✅	✅	❌	✅	5
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching	❌	✅	✅	✅	✅	❌	✅	5
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Rule Based Rewards for Language Model Safety	❌	✅	✅	✅	❌	❌	✅	4
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts	❌	✅	❌	❌	✅	❌	✅	3
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity	✅	❌	✅	✅	✅	❌	✅	5
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search	❌	❌	✅	✅	✅	❌	✅	4
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization	✅	✅	❌	❌	✅	❌	✅	4
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training	❌	✅	✅	✅	✅	❌	✅	5
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning	✅	✅	✅	❌	✅	✅	✅	6
SA3DIP: Segment Any 3D Instance with Potential 3D Priors	✅	✅	✅	✅	✅	❌	✅	6
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models	✅	✅	✅	❌	❌	❌	✅	4
SAM-Guided Masked Token Prediction for 3D Scene Understanding	❌	❌	✅	✅	✅	❌	✅	4
SAMPa: Sharpness-aware Minimization Parallelized	✅	✅	✅	✅	✅	❌	✅	6
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks	❌	✅	✅	✅	✅	❌	✅	5
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series	❌	✅	✅	✅	✅	❌	✅	5
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection	❌	✅	✅	✅	✅	❌	✅	5
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning	✅	✅	✅	❌	❌	❌	✅	4
SCOREQ: Speech Quality Assessment with Contrastive Regression	❌	✅	✅	✅	✅	❌	✅	5
SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization	✅	❌	✅	❌	✅	❌	✅	4
SCube: Instant Large-Scale Scene Reconstruction using VoxSplats	❌	❌	✅	✅	✅	❌	✅	4
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training	✅	✅	✅	❌	✅	❌	✅	5
SDformer: Similarity-driven Discrete Transformer For Time Series Generation	✅	❌	✅	❌	✅	❌	✅	4
SE(3)-bi-equivariant Transformers for Point Cloud Assembly	❌	✅	✅	✅	✅	❌	✅	5
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers	❌	✅	❌	✅	✅	❌	✅	4
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions	✅	✅	❌	❌	✅	❌	✅	4
SEL-BALD: Deep Bayesian Active Learning with Selective Labels	✅	✅	✅	❌	✅	❌	✅	5
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures	❌	❌	✅	❌	❌	❌	✅	2
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data	❌	✅	✅	✅	✅	✅	✅	6
SF-V: Single Forward Video Generation Model	❌	❌	✅	❌	✅	❌	✅	3
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation	❌	✅	✅	✅	✅	✅	✅	6
SGD vs GD: Rank Deficiency in Linear Networks	❌	❌	❌	❌	✅	❌	✅	2
SGLang: Efficient Execution of Structured Language Model Programs	✅	✅	✅	❌	✅	❌	✅	5
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning	❌	✅	✅	❌	✅	❌	✅	4
SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices	❌	❌	✅	❌	✅	❌	✅	3
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs	✅	✅	✅	❌	✅	❌	✅	5
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection	✅	❌	✅	✅	✅	✅	✅	6
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining	✅	✅	✅	❌	✅	❌	✅	5
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization	✅	✅	✅	✅	✅	✅	✅	7
SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction	❌	✅	✅	✅	✅	❌	✅	5
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction	✅	✅	✅	✅	✅	✅	✅	7
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion	✅	✅	✅	✅	✅	❌	✅	6
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model	❌	❌	✅	✅	✅	❌	✅	4
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization	✅	❌	✅	✅	✅	❌	✅	5
SPEAR: Exact Gradient Inversion of Batches in Federated Learning	✅	✅	✅	❌	❌	❌	✅	4
SPO: Sequential Monte Carlo Policy Optimisation	✅	✅	✅	✅	✅	❌	✅	6
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning	✅	✅	✅	❌	✅	❌	✅	5
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform	✅	✅	✅	❌	✅	❌	✅	5
SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation	❌	✅	✅	✅	✅	✅	✅	6
SSDM: Scalable Speech Dysfluency Modeling	✅	❌	✅	❌	✅	❌	✅	4
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening	✅	✅	✅	❌	✅	✅	✅	6
ST$_k$: A Scalable Module for Solving Top-k Problems	❌	❌	✅	✅	✅	❌	✅	4
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation	❌	✅	✅	✅	✅	❌	✅	5
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)	❌	❌	❌	❌	❌	❌	✅	1
STONE: A Submodular Optimization Framework for Active 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors	❌	✅	✅	✅	✅	❌	✅	5
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering	✅	✅	✅	✅	❌	❌	✅	5
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents	❌	✅	✅	❌	❌	❌	✅	3
Safe Exploitative Play with Untrusted Type Beliefs	❌	❌	✅	❌	❌	❌	✅	2
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel	✅	❌	✅	❌	✅	✅	✅	5
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage	✅	✅	✅	❌	✅	❌	✅	5
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
SafeWorld: Geo-Diverse Safety Alignment	❌	✅	✅	✅	✅	✅	✅	6
Safety through feedback in Constrained RL	✅	✅	✅	❌	✅	❌	✅	5
Saliency-driven Experience Replay for Continual Learning	❌	✅	✅	✅	✅	❌	✅	5
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading	❌	✅	✅	❌	❌	❌	✅	3
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification	✅	✅	✅	❌	✅	✅	✅	6
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut	❌	✅	✅	❌	✅	✅	✅	5
Sample Complexity of Interventional Causal Representation Learning	✅	✅	❌	❌	✅	❌	✅	4
Sample Complexity of Posted Pricing for a Single Item	❌	❌	❌	❌	❌	❌	❌	0
Sample Efficient Bayesian Learning of Causal Graphs from Interventions	✅	✅	❌	❌	❌	❌	✅	3
Sample Selection via Contrastive Fragmentation for Noisy Label Regression	✅	✅	✅	✅	✅	✅	✅	7
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models	✅	❌	❌	❌	❌	❌	❌	1
Sample-Efficient Agnostic Boosting	✅	❌	✅	✅	✅	❌	✅	5
Sample-Efficient Constrained Reinforcement Learning with General Parameterization	✅	❌	❌	❌	❌	❌	❌	1
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization	✅	✅	✅	❌	✅	❌	✅	5
Sample-Efficient Private Learning of Mixtures of Gaussians	✅	❌	❌	❌	❌	❌	❌	1
Sample-efficient Bayesian Optimisation Using Known Invariances	✅	✅	❌	❌	✅	❌	✅	4
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks	❌	✅	✅	✅	✅	❌	✅	5
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain	❌	✅	✅	❌	✅	❌	✅	4
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes	✅	✅	✅	✅	✅	✅	✅	7
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Scalable DBSCAN with Random Projections	✅	✅	✅	❌	✅	✅	✅	6
Scalable DP-SGD: Shuffling vs. Poisson Subsampling	✅	✅	✅	✅	✅	❌	✅	6
Scalable Kernel Inverse Optimization	✅	✅	✅	❌	❌	✅	✅	5
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes	✅	✅	✅	❌	✅	✅	✅	6
Scalable Optimization in the Modular Norm	✅	✅	✅	✅	✅	❌	✅	6
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs	❌	✅	✅	❌	✅	✅	✅	5
Scale Equivariant Graph Metanetworks	✅	❌	✅	✅	✅	❌	✅	5
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models	✅	✅	✅	✅	❌	✅	✅	6
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers	❌	✅	✅	✅	✅	❌	✅	5
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits	✅	✅	✅	❌	✅	❌	✅	5
Scaling Law for Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations	✅	✅	✅	❌	✅	❌	✅	5
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms	❌	✅	✅	✅	✅	❌	✅	5
Scaling Laws in Linear Regression: Compute, Parameters, and Data	❌	❌	❌	❌	❌	❌	✅	1
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies	❌	✅	✅	✅	✅	❌	✅	5
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers	❌	✅	✅	✅	✅	❌	✅	5
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore	✅	✅	✅	❌	❌	❌	✅	4
Scaling Sign Language Translation	❌	❌	✅	✅	✅	❌	✅	4
Scaling White-Box Transformers for Vision	❌	✅	✅	❌	✅	❌	✅	4
Scaling laws for learning with real and surrogate data	❌	❌	✅	✅	✅	❌	✅	4
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%	❌	✅	✅	❌	✅	❌	✅	4
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting	❌	✅	✅	✅	✅	❌	✅	5
Scanning Trojaned Models Using Out-of-Distribution Samples	✅	✅	✅	✅	✅	❌	✅	6
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation	❌	✅	✅	❌	✅	✅	✅	5
Scene Graph Generation with Role-Playing Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
SceneCraft: Layout-Guided 3D Scene Generation	❌	❌	✅	❌	✅	❌	✅	3
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout	✅	❌	✅	✅	❌	❌	✅	4
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing	❌	✅	✅	❌	✅	✅	✅	5
Schrodinger Bridge Flow for Unpaired Data Translation	✅	❌	✅	✅	✅	❌	✅	5
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks	❌	✅	✅	✅	✅	❌	✅	5
Score Distillation via Reparametrized DDIM	✅	✅	✅	❌	✅	✅	✅	6
Score-Optimal Diffusion Schedules	✅	✅	✅	❌	✅	❌	✅	5
Score-based 3D molecule generation with neural fields	✅	✅	✅	✅	✅	❌	✅	6
Score-based generative models are provably robust: an uncertainty quantification perspective	❌	❌	❌	❌	❌	❌	❌	0
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation	✅	✅	✅	✅	✅	❌	✅	6
Search for Efficient Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge	❌	❌	✅	✅	✅	❌	✅	4
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices	❌	✅	✅	✅	✅	❌	✅	5
Second-order forward-mode optimization of recurrent neural networks for neuroscience	✅	✅	✅	❌	✅	❌	✅	5
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography	❌	✅	❌	❌	❌	❌	✅	2
SeeA: Efficient Exploration-Enhanced A Search by Selective Sampling	✅	✅	✅	❌	✅	❌	✅	5
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution	✅	✅	✅	✅	✅	✅	✅	7
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction	❌	❌	✅	❌	✅	❌	✅	3
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment	✅	✅	✅	✅	✅	❌	✅	6
Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL	❌	✅	✅	❌	✅	❌	✅	4
SegVol: Universal and Interactive Volumetric Medical Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Segment Any Change	✅	✅	✅	✅	✅	❌	✅	6
Segment Anything without Supervision	✅	✅	✅	❌	✅	❌	✅	5
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations	❌	✅	✅	✅	✅	❌	✅	5
Segmenting Watermarked Texts From Language Models	✅	✅	✅	❌	❌	❌	✅	4
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection	❌	✅	✅	❌	✅	❌	✅	4
Selective Attention: Enhancing Transformer through Principled Context Control	❌	✅	✅	❌	✅	❌	✅	4
Selective Explanations	✅	✅	✅	✅	✅	❌	✅	6
Selective Generation for Controllable Language Models	✅	✅	✅	✅	✅	❌	✅	6
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection	✅	✅	✅	✅	✅	✅	✅	7
Self-Calibrating Conformal Prediction	✅	✅	✅	✅	✅	❌	✅	6
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences	✅	❌	✅	❌	✅	❌	✅	4
Self-Distilled Depth Refinement with Noisy Poisson Fusion	❌	✅	✅	❌	✅	❌	✅	4
Self-Guided Masked Autoencoder	❌	✅	✅	✅	✅	❌	✅	5
Self-Guiding Exploration for Combinatorial Problems	✅	✅	❌	❌	✅	❌	❌	3
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments	✅	✅	✅	❌	✅	❌	✅	5
Self-Labeling the Job Shop Scheduling Problem	❌	✅	✅	✅	✅	❌	✅	5
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation	✅	✅	✅	✅	✅	❌	✅	6
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations	✅	✅	✅	❌	✅	❌	✅	5
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model	❌	✅	✅	✅	✅	❌	✅	5
Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation	❌	❌	✅	❌	✅	❌	✅	3
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels	✅	✅	✅	❌	✅	❌	✅	5
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
Self-playing Adversarial Language Game Enhances LLM Reasoning	✅	✅	✅	❌	✅	❌	✅	5
Self-supervised Transformation Learning for Equivariant Representations	❌	✅	✅	✅	✅	❌	✅	5
SelfCodeAlign: Self-Alignment for Code Generation	❌	✅	✅	❌	✅	❌	✅	4
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning	❌	✅	✅	❌	✅	❌	✅	4
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow	❌	❌	✅	❌	❌	❌	✅	2
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space	✅	✅	✅	✅	✅	❌	✅	6
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval	❌	❌	✅	❌	❌	❌	✅	2
Semantic Routing via Autoregressive Modeling	❌	✅	✅	❌	❌	❌	✅	3
Semantics and Spatiality of Emergent Communication	✅	✅	✅	✅	✅	❌	✅	6
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph	✅	❌	✅	✅	✅	❌	✅	5
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting	✅	❌	❌	❌	❌	❌	❌	1
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data	✅	❌	❌	❌	✅	❌	✅	3
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data	✅	✅	✅	❌	✅	❌	✅	5
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss	✅	❌	✅	✅	❌	❌	✅	4
Semidefinite Relaxations of the Gromov-Wasserstein Distance	✅	✅	✅	❌	✅	✅	❌	5
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation	❌	✅	✅	✅	✅	❌	✅	5
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics	❌	❌	❌	❌	✅	❌	✅	2
Separations in the Representational Capabilities of Transformers and Recurrent Architectures	❌	✅	❌	❌	✅	❌	✅	3
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation	❌	✅	✅	❌	✅	❌	✅	4
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity	✅	✅	❌	❌	✅	❌	✅	4
Sequential Harmful Shift Detection Without Labels	❌	❌	✅	✅	✅	❌	✅	4
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood	✅	❌	❌	❌	❌	❌	❌	1
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization	✅	❌	✅	✅	❌	❌	✅	4
Sequoia: Scalable and Robust Speculative Decoding	✅	✅	✅	❌	✅	✅	✅	6
Set-based Neural Network Encoding Without Weight Tying	❌	❌	✅	✅	✅	✅	✅	5
SfPUEL: Shape from Polarization under Unknown Environment Light	❌	✅	✅	✅	✅	❌	✅	5
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity	✅	✅	✅	❌	✅	❌	✅	5
Shape analysis for time series	❌	✅	✅	✅	✅	❌	✅	5
Shaping the distribution of neural responses with interneurons in a recurrent circuit model	✅	✅	✅	❌	✅	❌	✅	5
Shared Autonomy with IDA: Interventional Diffusion Assistance	✅	✅	✅	❌	✅	❌	✅	5
Sharing Key Semantics in Transformer Makes Efficient Image Restoration	✅	✅	✅	❌	✅	❌	✅	5
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization	✅	✅	✅	✅	✅	❌	✅	6
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance	❌	✅	✅	✅	✅	❌	✅	5
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood	✅	✅	✅	❌	✅	✅	✅	6
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization	✅	✅	✅	❌	✅	❌	✅	5
Should We Really Edit Language Models? On the Evaluation of Edited Language Models	❌	✅	✅	❌	✅	❌	✅	4
ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling	❌	❌	✅	❌	✅	❌	✅	3
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization	✅	✅	✅	❌	✅	❌	✅	5
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts	❌	❌	❌	❌	✅	❌	✅	2
SimGen: Simulator-conditioned Driving Scene Generation	❌	✅	✅	✅	✅	✅	✅	6
SimPO: Simple Preference Optimization with a Reference-Free Reward	❌	✅	✅	❌	✅	❌	✅	4
SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion	❌	✅	✅	✅	✅	❌	✅	5
Similarity-Navigated Conformal Prediction for Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Simple and Effective Masked Diffusion Language Models	✅	✅	✅	✅	✅	❌	✅	6
Simple and Fast Distillation of Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Simplified and Generalized Masked Diffusion for Discrete Data	✅	✅	✅	✅	✅	❌	✅	6
Simplifying Constraint Inference with Inverse Reinforcement Learning	✅	✅	✅	❌	❌	✅	✅	5
Simplifying Latent Dynamics with Softly State-Invariant World Models	❌	❌	✅	❌	✅	❌	✅	3
Simulation-Free Training of Neural ODEs on Paired Data	❌	✅	✅	✅	✅	❌	✅	5
Single Image Reflection Separation via Dual-Stream Interactive Transformers	✅	✅	✅	✅	✅	❌	✅	6
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions	✅	✅	✅	✅	❌	❌	✅	5
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information	✅	✅	✅	❌	✅	❌	✅	5
Sketching for Distributed Deep Learning: A Sharper Analysis	✅	❌	✅	❌	✅	❌	✅	4
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning	✅	✅	✅	✅	✅	❌	✅	6
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions	✅	✅	✅	❌	✅	❌	✅	5
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Skinned Motion Retargeting with Dense Geometric Interaction Perception	✅	✅	✅	❌	✅	❌	✅	5
SkipPredict: When to Invest in Predictions for Scheduling	❌	✅	✅	❌	✅	✅	✅	5
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover	✅	❌	✅	❌	✅	✅	✅	5
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents	✅	✅	✅	❌	✅	❌	✅	5
Slicing Vision Transformer for Flexible Inference	❌	❌	✅	✅	✅	❌	✅	4
Slight Corruption in Pre-training Data Makes Better Diffusion Models	❌	✅	✅	✅	✅	❌	✅	5
SlimGPT: Layer-wise Structured Pruning for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
SlimSAM: 0.1% Data Makes Segment Anything Slim	❌	✅	✅	❌	✅	❌	✅	4
Slot State Space Models	✅	❌	✅	❌	❌	❌	✅	3
Slot-VLM: Object-Event Slots for Video-Language Modeling	❌	❌	✅	❌	✅	❌	✅	3
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM	❌	✅	✅	❌	✅	✅	✅	5
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification	❌	✅	✅	✅	✅	❌	✅	5
Small coresets via negative dependence: DPPs, linear statistics, and concentration	❌	✅	✅	❌	❌	❌	✅	3
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates	✅	❌	✅	❌	❌	❌	✅	3
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models	✅	✅	✅	❌	✅	❌	✅	5
Smoke and Mirrors in Causal Downstream Tasks	❌	✅	✅	✅	✅	❌	✅	5
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention	❌	✅	✅	✅	❌	❌	✅	4
Smoothed Online Classification can be Harder than Batch Classification	❌	❌	❌	❌	❌	❌	❌	0
Smoothie: Label Free Language Model Routing	✅	✅	✅	✅	❌	✅	✅	6
SnapKV: LLM Knows What You are Looking for Before Generation	✅	✅	✅	❌	✅	❌	✅	5
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization	✅	✅	✅	✅	✅	❌	✅	6
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space	❌	✅	✅	❌	✅	❌	✅	4
Soft Superpixel Neighborhood Attention	❌	✅	✅	❌	✅	✅	✅	5
Soft ascent-descent as a stable and flexible alternative to flooding	❌	✅	✅	✅	✅	✅	✅	6
Soft-Label Integration for Robust Toxicity Classification	✅	✅	✅	✅	✅	✅	✅	7
Solving Inverse Problems via Diffusion Optimal Control	✅	❌	✅	✅	✅	❌	✅	5
Solving Minimum-Cost Reach Avoid using Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Solving Sparse \& High-Dimensional-Output Regression via Compression	✅	✅	✅	❌	✅	✅	✅	6
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding	✅	✅	✅	❌	❌	❌	✅	4
SongCreator: Lyrics-based Universal Song Generation	❌	❌	✅	❌	✅	❌	✅	3
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases	❌	✅	✅	✅	✅	✅	✅	6
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation	✅	✅	✅	❌	✅	❌	✅	5
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network	❌	✅	❌	❌	✅	❌	✅	3
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead	✅	✅	✅	❌	✅	❌	✅	5
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields	✅	✅	❌	❌	✅	❌	✅	4
SpaceByte: Towards Deleting Tokenization from Large Language Modeling	✅	✅	✅	✅	✅	❌	✅	6
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs	✅	❌	❌	❌	❌	❌	❌	1
Sparse Bayesian Generative Modeling for Compressive Sensing	✅	✅	✅	✅	✅	❌	✅	6
Sparse High Rank Adapters	❌	✅	✅	✅	✅	✅	✅	6
Sparse maximal update parameterization: A holistic approach to sparse training dynamics	❌	✅	✅	❌	✅	❌	✅	4
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis	❌	❌	✅	❌	✅	❌	✅	3
SparseLLM: Towards Global Pruning of Pre-trained Language Models	✅	✅	✅	✅	✅	❌	✅	6
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries	✅	✅	❌	❌	✅	❌	✅	4
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors	❌	✅	✅	❌	✅	❌	✅	4
SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
Spatio-Spectral Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras	❌	✅	✅	❌	✅	❌	✅	4
SpeAr: A Spectral Approach for Zero-Shot Node Classification	❌	✅	✅	✅	✅	❌	✅	5
Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication	✅	✅	❌	✅	✅	❌	✅	5
Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting	❌	✅	✅	✅	✅	❌	✅	5
SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices	✅	✅	✅	❌	✅	❌	✅	5
Spectral Adapter: Fine-Tuning in Spectral Space	❌	✅	✅	❌	✅	❌	✅	4
Spectral Editing of Activations for Large Language Model Alignment	❌	✅	✅	✅	✅	✅	✅	6
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing	✅	✅	✅	✅	✅	❌	✅	6
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes	❌	✅	✅	✅	✅	❌	✅	5
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees	✅	✅	✅	❌	✅	❌	✅	5
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration	❌	✅	✅	❌	✅	❌	✅	4
Speculative Monte-Carlo Tree Search	❌	❌	❌	❌	✅	❌	✅	2
SpeechAlign: Aligning Speech Generation to Human Preferences	✅	❌	✅	❌	✅	❌	✅	4
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection	❌	✅	✅	❌	❌	❌	❌	2
SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation	✅	✅	✅	❌	✅	❌	✅	5
SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision	❌	❌	✅	✅	✅	❌	✅	4
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Spike-based Neuromorphic Model for Sound Source Localization	❌	❌	✅	❌	❌	❌	✅	2
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams	❌	✅	✅	❌	✅	❌	✅	4
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation	❌	✅	✅	❌	✅	❌	✅	4
Spiking Graph Neural Network on Riemannian Manifolds	✅	✅	✅	❌	✅	❌	✅	5
Spiking Neural Network as Adaptive Event Stream Slicer	✅	✅	✅	❌	✅	❌	✅	5
Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks	❌	✅	✅	✅	✅	❌	✅	5
Spiking Transformer with Experts Mixture	❌	✅	✅	✅	✅	❌	✅	5
Splatter a Video: Video Gaussian Representation for Versatile Processing	❌	❌	✅	❌	✅	❌	✅	3
SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation	❌	✅	✅	❌	✅	❌	✅	4
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics	❌	❌	✅	✅	✅	❌	✅	4
Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation	✅	❌	❌	❌	❌	❌	❌	1
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness	✅	✅	✅	❌	✅	❌	✅	5
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective	❌	✅	✅	❌	❌	❌	✅	3
Stabilized Proximal-Point Methods for Federated Optimization	✅	✅	✅	❌	✅	❌	✅	5
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling	✅	✅	✅	❌	✅	❌	✅	5
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks	✅	✅	✅	✅	✅	❌	✅	6
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes	❌	❌	❌	❌	✅	❌	✅	2
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation	✅	✅	✅	✅	✅	❌	✅	6
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training	✅	✅	✅	❌	✅	✅	✅	6
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning	❌	❌	✅	❌	❌	❌	✅	2
State Chrono Representation for Enhancing Generalization in Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
State Space Models on Temporal Graphs: A First-Principles Study	✅	✅	✅	✅	✅	❌	✅	6
State-free Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Statistical Efficiency of Distributional Temporal Difference Learning	❌	❌	❌	❌	❌	❌	❌	0
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm	❌	❌	❌	❌	✅	❌	✅	2
Statistical Multicriteria Benchmarking via the GSD-Front	❌	✅	✅	✅	❌	❌	✅	4
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence	❌	✅	❌	❌	❌	❌	✅	2
Statistical-Computational Trade-offs for Density Estimation	✅	✅	✅	❌	❌	❌	✅	4
Stealth edits to large language models	✅	✅	✅	❌	✅	❌	✅	5
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Stepping Forward on the Last Mile	✅	❌	✅	✅	✅	❌	✅	5
Stepping on the Edge: Curvature Aware Learning Rate Tuners	❌	❌	✅	✅	✅	❌	✅	4
Stepwise Alignment for Constrained Language Model Policy Optimization	✅	✅	✅	✅	✅	❌	✅	6
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution	❌	✅	✅	✅	✅	❌	✅	5
Stochastic Concept Bottleneck Models	❌	✅	✅	✅	✅	✅	✅	6
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements	✅	❌	❌	❌	❌	❌	✅	2
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines	✅	✅	✅	✅	✅	❌	✅	6
Stochastic Newton Proximal Extragradient Method	✅	✅	❌	❌	✅	❌	✅	4
Stochastic Optimal Control Matching	✅	✅	❌	❌	✅	❌	✅	4
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise	✅	✅	❌	❌	❌	❌	✅	3
Stochastic Optimal Control for Diffusion Bridges in Function Spaces	✅	✅	✅	❌	✅	❌	✅	5
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data	✅	✅	✅	❌	✅	❌	✅	5
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss	❌	✅	✅	❌	✅	❌	✅	4
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators	✅	✅	❌	✅	✅	✅	✅	6
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity	✅	❌	❌	❌	❌	❌	❌	1
Stochastic contextual bandits with graph feedback: from independence number to MAS number	✅	❌	❌	❌	❌	❌	❌	1
Stopping Bayesian Optimization with Probabilistic Regret Bounds	✅	✅	✅	❌	✅	❌	✅	5
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation	✅	❌	✅	❌	✅	❌	✅	4
Strategic Linear Contextual Bandits	✅	❌	❌	❌	❌	❌	✅	2
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification	✅	❌	❌	❌	❌	❌	❌	1
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting	✅	❌	❌	❌	❌	❌	✅	2
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving	❌	✅	✅	✅	✅	✅	✅	6
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models	✅	❌	✅	✅	❌	❌	✅	4
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences	✅	✅	✅	❌	✅	✅	✅	6
Streaming Bayes GFlowNets	✅	✅	❌	❌	✅	❌	✅	4
Streaming Long Video Understanding with Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses	❌	✅	✅	❌	✅	❌	✅	4
Stress-Testing Capability Elicitation With Password-Locked Models	❌	✅	✅	✅	✅	✅	✅	6
Structural Inference of Dynamical Systems with Conjoined State Space Models	✅	✅	✅	✅	✅	❌	✅	6
Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis	❌	✅	✅	✅	✅	❌	✅	5
Structured Learning of Compositional Sequential Interventions	❌	✅	✅	✅	❌	❌	✅	4
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics	❌	✅	✅	✅	✅	✅	✅	6
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling	❌	✅	✅	✅	✅	❌	✅	5
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning	❌	✅	✅	✅	✅	❌	✅	5
Structured flexibility in recurrent neural networks via neuromodulation	❌	✅	✅	❌	❌	❌	✅	3
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation	✅	✅	✅	❌	✅	✅	✅	6
Stylus: Automatic Adapter Selection for Diffusion Models	❌	✅	✅	✅	✅	✅	✅	6
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning	✅	❌	✅	❌	✅	✅	✅	5
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Subsurface Scattering for Gaussian Splatting	❌	❌	✅	✅	✅	❌	✅	4
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection	❌	✅	✅	✅	✅	✅	✅	6
Super Consistency of Neural Network Landscapes and Learning Rate Transfer	❌	❌	✅	❌	✅	❌	✅	3
SuperDeepFool: a new fast and accurate minimal adversarial attack	✅	✅	✅	❌	❌	❌	✅	4
SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition	❌	✅	✅	✅	✅	❌	✅	5
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass	✅	✅	✅	✅	✅	❌	✅	6
Supervised Kernel Thinning	✅	✅	✅	✅	✅	❌	✅	6
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques	❌	✅	✅	❌	✅	❌	✅	4
Supra-Laplacian Encoding for Transformer on Dynamic Graphs	✅	✅	✅	✅	✅	❌	✅	6
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation	✅	✅	✅	✅	✅	❌	✅	6
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling	❌	❌	✅	❌	✅	❌	✅	3
Swift Sampler: Efficient Learning of Sampler by 10 Parameters	✅	✅	✅	✅	✅	❌	✅	6
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention	❌	✅	✅	❌	✅	❌	✅	4
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization	✅	✅	✅	✅	✅	✅	✅	7
Symbolic Regression with a Learned Concept Library	✅	✅	✅	✅	✅	✅	✅	7
Symmetric Linear Bandits with Hidden Symmetry	✅	✅	❌	❌	❌	❌	✅	3
Symmetries in Overparametrized Neural Networks: A Mean Field View	❌	✅	❌	❌	✅	❌	✅	3
Symmetry Discovery Beyond Affine Transformations	✅	✅	✅	✅	❌	❌	✅	5
Symmetry-Informed Governing Equation Discovery	❌	✅	❌	✅	❌	❌	✅	3
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale	✅	✅	✅	❌	✅	❌	✅	5
SyncTweedies: A General Generative Framework Based on Synchronized Diffusions	❌	✅	✅	❌	✅	❌	✅	4
SyncVIS: Synchronized Video Instance Segmentation	❌	✅	✅	✅	✅	✅	✅	6
Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image	❌	✅	✅	❌	❌	❌	✅	3
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models	❌	✅	✅	❌	✅	❌	✅	4
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages	❌	✅	✅	❌	✅	❌	✅	4
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback	✅	✅	✅	❌	✅	❌	✅	5
TAIA: Large Language Models are Out-of-Distribution Data Learners	❌	✅	✅	❌	✅	❌	✅	4
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight	✅	✅	✅	✅	✅	❌	✅	6
TAPTRv2: Attention-based Position Update Improves Tracking Any Point	❌	❌	✅	❌	✅	❌	✅	3
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models	❌	✅	✅	❌	✅	❌	✅	4
TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network	❌	✅	✅	✅	✅	❌	✅	5
TFG: Unified Training-Free Guidance for Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering	❌	❌	✅	❌	❌	❌	✅	2
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene	❌	✅	✅	❌	✅	❌	✅	4
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment	❌	✅	✅	✅	✅	❌	✅	5
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation	✅	❌	✅	❌	✅	❌	✅	4
TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning	❌	✅	✅	✅	✅	❌	✅	5
TSDS: Data Selection for Task-Specific Model Finetuning	✅	✅	✅	✅	✅	❌	✅	6
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models	✅	✅	✅	✅	✅	✅	✅	7
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy	❌	✅	✅	❌	✅	❌	✅	4
TableRAG: Million-Token Table Understanding with Language Models	✅	✅	✅	❌	❌	❌	✅	4
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment	✅	✅	✅	✅	✅	❌	✅	6
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation	❌	✅	✅	❌	✅	✅	✅	5
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models	❌	✅	✅	❌	✅	❌	✅	4
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces	❌	❌	❌	❌	✅	❌	✅	2
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains	✅	❌	✅	❌	❌	❌	✅	3
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs	✅	✅	✅	✅	✅	❌	✅	6
Taming Generative Diffusion Prior for Universal Blind Image Restoration	✅	✅	✅	❌	❌	❌	✅	4
Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting	✅	❌	❌	❌	❌	❌	❌	1
Taming the Long Tail in Human Mobility Prediction	✅	✅	✅	❌	✅	✅	✅	6
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems	✅	✅	✅	✅	✅	❌	✅	6
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions	✅	✅	✅	❌	✅	❌	✅	5
Targeted Sequential Indirect Experiment Design	✅	✅	❌	❌	✅	❌	✅	4
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings	❌	✅	✅	❌	❌	❌	✅	3
Task-Agnostic Machine-Learning-Assisted Inference	✅	✅	✅	✅	✅	✅	✅	7
Task-oriented Time Series Imputation Evaluation via Generalized Representers	✅	✅	✅	✅	✅	❌	✅	6
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning	✅	✅	✅	✅	✅	❌	✅	6
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization	✅	❌	✅	✅	❌	✅	✅	5
Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games	✅	✅	❌	❌	✅	❌	✅	4
Tell What You Hear From What You See - Video to Audio Generation Through Text	❌	❌	✅	❌	✅	❌	✅	3
Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis	❌	✅	✅	❌	✅	❌	✅	4
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed	✅	✅	✅	✅	❌	❌	✅	5
Temporal Sentence Grounding with Relevance Feedback in Videos	❌	✅	✅	✅	✅	❌	✅	5
Temporal-Difference Learning Using Distributed Error Signals	✅	✅	✅	❌	✅	✅	✅	6
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations	❌	✅	✅	❌	✅	❌	✅	4
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor	✅	✅	✅	❌	✅	❌	✅	5
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line	✅	✅	✅	✅	✅	❌	✅	6
Test-Time Dynamic Image Fusion	✅	✅	✅	❌	✅	❌	❌	4
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment	✅	✅	✅	❌	✅	❌	✅	5
Testably Learning Polynomial Threshold Functions	❌	❌	❌	❌	❌	❌	❌	0
Testing Calibration in Nearly-Linear Time	✅	✅	✅	❌	✅	❌	❌	4
Testing Semantic Importance via Betting	✅	✅	✅	✅	✅	❌	✅	6
Tetrahedron Splatting for 3D Generation	❌	✅	✅	❌	✅	❌	✅	4
Text-Aware Diffusion for Policy Learning	✅	✅	✅	❌	✅	❌	✅	5
Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model	❌	✅	✅	✅	✅	❌	✅	5
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection	❌	✅	✅	✅	✅	❌	✅	5
Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts	❌	❌	✅	✅	✅	❌	✅	4
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction	❌	✅	✅	✅	✅	❌	✅	5
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control	✅	✅	✅	✅	✅	❌	✅	6
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection	✅	✅	✅	❌	✅	❌	✅	5
The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators	❌	✅	✅	❌	✅	❌	✅	4
The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons	❌	✅	❌	❌	❌	❌	✅	2
The Benefits of Balance: From Information Projections to Variance Reduction	❌	✅	✅	❌	✅	❌	✅	4
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection	✅	✅	✅	✅	✅	❌	✅	6
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks	✅	❌	✅	❌	✅	❌	✅	4
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression	❌	❌	❌	❌	✅	❌	✅	2
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize	❌	✅	❌	❌	✅	❌	✅	3
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization	✅	✅	✅	❌	✅	❌	✅	5
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof	❌	✅	✅	✅	✅	❌	✅	5
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains	❌	✅	❌	❌	✅	✅	✅	4
The Expressive Capacity of State Space Models: A Formal Language Perspective	❌	✅	✅	✅	❌	❌	✅	4
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More	✅	❌	✅	✅	✅	❌	✅	5
The Fairness-Quality Tradeoff in Clustering	✅	✅	✅	❌	❌	✅	✅	5
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks	❌	✅	❌	❌	❌	❌	✅	2
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models	❌	❌	❌	❌	❌	❌	❌	0
The GAN is dead; long live the GAN! A Modern GAN Baseline	❌	✅	✅	❌	✅	❌	✅	4
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations	❌	✅	✅	✅	✅	❌	✅	5
The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms	✅	✅	✅	❌	❌	❌	✅	4
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning	❌	❌	✅	✅	✅	❌	✅	4
The Impact of Initialization on LoRA Finetuning Dynamics	❌	✅	✅	❌	✅	❌	✅	4
The Implicit Bias of Adam on Separable Data	❌	❌	❌	❌	❌	❌	✅	1
The Implicit Bias of Gradient Descent on Separable Multiclass Data	❌	✅	✅	❌	❌	❌	❌	2
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions	✅	✅	✅	❌	✅	✅	✅	6
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing	✅	❌	❌	❌	❌	❌	✅	2
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains	❌	✅	✅	✅	✅	❌	✅	5
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage	✅	❌	✅	✅	✅	❌	✅	5
The Intelligible and Effective Graph Neural Additive Network	❌	✅	✅	✅	✅	❌	✅	5
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information	✅	✅	✅	✅	❌	❌	✅	5
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space	✅	✅	✅	❌	✅	❌	✅	5
The Limits of Differential Privacy in Online Learning	✅	❌	❌	❌	❌	❌	❌	1
The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure	✅	❌	❌	❌	❌	❌	❌	1
The Mamba in the Llama: Distilling and Accelerating Hybrid Models	✅	✅	✅	❌	✅	❌	✅	5
The Many Faces of Optimal Weak-to-Strong Learning	✅	✅	✅	❌	❌	❌	✅	4
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels	❌	❌	❌	❌	❌	❌	❌	0
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
The Power of Extrapolation in Federated Learning	✅	✅	❌	❌	✅	❌	✅	4
The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective	❌	❌	❌	❌	❌	❌	❌	0
The Power of Resets in Online Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
The Prevalence of Neural Collapse in Neural Multivariate Regression	❌	✅	✅	✅	✅	❌	✅	5
The Price of Implicit Bias in Adversarially Robust Generalization	❌	✅	✅	❌	❌	❌	✅	3
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems	❌	❌	❌	✅	✅	❌	✅	3
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
The Road Less Scheduled	✅	✅	✅	❌	✅	✅	✅	6
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization	❌	❌	❌	❌	❌	❌	❌	0
The Sample-Communication Complexity Trade-off in Federated Q-Learning	✅	❌	❌	❌	❌	❌	✅	2
The Secretary Problem with Predicted Additive Gap	✅	❌	❌	❌	✅	✅	✅	4
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks	✅	✅	✅	✅	✅	❌	✅	6
The Space Complexity of Approximating Logistic Loss	❌	✅	✅	❌	❌	❌	✅	3
The Star Geometry of Critic-Based Regularizer Learning	❌	❌	✅	❌	✅	❌	✅	3
The Surprising Effectiveness of SP Voting with Partial Preferences	✅	✅	✅	❌	❌	❌	✅	4
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning	❌	❌	✅	✅	✅	❌	✅	4
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better	✅	✅	✅	✅	✅	✅	✅	7
The Value of Reward Lookahead in Reinforcement Learning	❌	❌	❌	❌	❌	❌	❌	0
The motion planning neural circuit in goal-directed navigation as Lie group operator search	❌	✅	❌	❌	✅	✅	✅	4
The surprising efficiency of temporal difference learning for rare event prediction	❌	❌	❌	❌	❌	❌	✅	1
The tree autoencoder model, with application to hierarchical data visualization	✅	❌	✅	❌	✅	❌	✅	4
Theoretical Analysis of Weak-to-Strong Generalization	❌	✅	✅	✅	✅	❌	✅	5
Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Theoretical Foundations of Deep Selective State-Space Models	❌	✅	✅	✅	❌	❌	✅	4
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning	✅	✅	✅	✅	✅	❌	✅	6
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks	❌	✅	✅	✅	✅	✅	✅	6
Theoretical guarantees in KL for Diffusion Flow Matching	❌	❌	❌	❌	❌	❌	❌	0
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models	✅	✅	✅	✅	✅	❌	✅	6
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox	✅	✅	❌	❌	✅	❌	✅	4
Thought of Search: Planning with Language Models Through The Lens of Efficiency	✅	✅	✅	❌	✅	❌	❌	4
Tight Bounds for Learning RUMs from Small Slates	❌	❌	❌	❌	❌	❌	❌	0
Tight Rates for Bandit Control Beyond Quadratics	✅	❌	❌	❌	❌	❌	❌	1
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective	✅	❌	✅	❌	❌	❌	✅	3
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences	✅	✅	❌	❌	❌	❌	✅	3
Time-Constrained Robust MDPs	✅	❌	✅	❌	✅	❌	✅	4
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Time-Reversal Provides Unsupervised Feedback to LLMs	✅	❌	✅	❌	✅	❌	✅	4
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables	❌	✅	✅	✅	✅	✅	✅	6
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series	❌	✅	✅	✅	✅	❌	✅	5
TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge	❌	✅	✅	❌	✅	❌	✅	4
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices	❌	✅	✅	❌	✅	✅	✅	5
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty	✅	❌	✅	✅	❌	❌	✅	4
To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation	❌	✅	✅	❌	✅	❌	✅	4
To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning	❌	✅	✅	❌	❌	❌	✅	3
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis	❌	✅	✅	✅	✅	❌	✅	5
Tolerant Algorithms for Learning with Arbitrary Covariate Shift	✅	❌	❌	❌	❌	❌	❌	1
TopoFR: A Closer Look at Topology Alignment on Face Recognition	❌	✅	✅	❌	✅	❌	✅	4
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes	❌	✅	✅	✅	✅	❌	✅	5
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms	❌	✅	✅	❌	✅	❌	✅	4
Topological obstruction to the training of shallow ReLU neural networks	❌	❌	✅	❌	❌	❌	✅	2
Toward Approaches to Scalability in 3D Human Pose Estimation	✅	✅	✅	❌	✅	❌	✅	5
Toward Conditional Distribution Calibration in Survival Prediction	✅	✅	✅	✅	❌	❌	✅	5
Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency	❌	✅	✅	❌	✅	❌	✅	4
Toward Efficient Inference for Mixture of Experts	❌	✅	✅	❌	✅	❌	✅	4
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models	❌	❌	❌	❌	❌	❌	✅	1
Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model	❌	✅	✅	✅	✅	❌	✅	5
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning	❌	❌	✅	✅	✅	❌	✅	4
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing	✅	✅	✅	✅	✅	❌	✅	6
Toward Semantic Gaze Target Detection	❌	❌	✅	✅	✅	❌	✅	4
Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation	❌	✅	✅	❌	✅	❌	✅	4
Towards Calibrated Robust Fine-Tuning of Vision-Language Models	❌	✅	✅	✅	❌	❌	✅	4
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization	✅	❌	✅	✅	✅	❌	✅	5
Towards Croppable Implicit Neural Representations	✅	✅	✅	❌	✅	❌	✅	5
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration	✅	✅	✅	✅	✅	❌	✅	6
Towards Dynamic Message Passing on Graphs	❌	✅	✅	✅	✅	❌	✅	5
Towards Editing Time Series	✅	✅	✅	✅	✅	❌	✅	6
Towards Effective Planning Strategies for Dynamic Opinion Networks	✅	✅	❌	❌	✅	❌	✅	4
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits	✅	❌	❌	❌	❌	❌	❌	1
Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding	✅	❌	✅	❌	❌	❌	✅	3
Towards Exact Gradient-based Training on Analog In-memory Computing	❌	✅	✅	❌	✅	❌	✅	4
Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Towards Flexible Visual Relationship Segmentation	❌	❌	✅	❌	❌	❌	✅	2
Towards Global Optimal Visual In-Context Learning Prompt Selection	✅	✅	✅	✅	✅	❌	✅	6
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior	✅	✅	✅	✅	✅	❌	✅	6
Towards Human-AI Complementarity with Prediction Sets	✅	✅	✅	✅	✅	❌	✅	6
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection	✅	✅	✅	✅	✅	❌	✅	6
Towards Multi-Domain Learning for Generalizable Video Anomaly Detection	❌	❌	✅	✅	✅	❌	✅	4
Towards Multi-dimensional Explanation Alignment for Medical Classification	❌	❌	✅	❌	✅	❌	✅	3
Towards Neuron Attributions in Multi-Modal Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework	❌	❌	✅	✅	✅	❌	✅	4
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers	✅	✅	✅	❌	✅	❌	✅	5
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels	❌	❌	✅	❌	✅	❌	✅	3
Towards Principled Graph Transformers	✅	✅	✅	✅	✅	❌	✅	6
Towards Robust Multimodal Sentiment Analysis with Incomplete Data	❌	✅	✅	✅	✅	✅	✅	6
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing	✅	❌	✅	❌	✅	❌	✅	4
Towards Scalable and Stable Parallelization of Nonlinear RNNs	✅	✅	❌	✅	✅	✅	✅	6
Towards Stable Representations for Protein Interface Prediction	❌	✅	✅	✅	✅	❌	✅	5
Towards Understanding Evolving Patterns in Sequential Data	✅	✅	✅	✅	✅	❌	❌	5
Towards Understanding Extrapolation: a Causal Lens	❌	✅	✅	❌	✅	✅	✅	5
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens	❌	✅	✅	❌	✅	✅	✅	5
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model	❌	❌	✅	❌	✅	❌	✅	3
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration	❌	✅	✅	❌	✅	❌	✅	4
Towards Universal Mesh Movement Networks	✅	✅	❌	❌	✅	❌	❌	3
Towards Unsupervised Model Selection for Domain Adaptive Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution	❌	✅	✅	✅	✅	❌	✅	5
Towards a Scalable Reference-Free Evaluation of Generative Models	✅	✅	✅	❌	✅	❌	✅	5
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics	❌	✅	❌	✅	✅	❌	✅	4
Towards a theory of how the structure of language is acquired by deep neural networks	❌	✅	✅	✅	✅	❌	✅	5
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Towards the Dynamics of a DNN Learning Symbolic Interactions	❌	❌	✅	❌	✅	❌	✅	3
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Towards training digitally-tied analog blocks via hybrid gradient computation	✅	✅	✅	✅	✅	✅	✅	7
Toxicity Detection for Free	❌	✅	✅	❌	❌	❌	✅	3
TrAct: Making First-layer Pre-Activations Trainable	✅	✅	✅	✅	✅	❌	✅	6
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs	✅	✅	✅	✅	✅	❌	✅	6
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network	❌	✅	✅	✅	❌	❌	✅	4
TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation	❌	✅	✅	❌	✅	✅	✅	5
Trade-Offs of Diagonal Fisher Information Matrix Estimators	❌	❌	✅	❌	❌	❌	✅	2
Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes	❌	❌	❌	❌	✅	❌	✅	2
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification	✅	❌	❌	❌	❌	❌	❌	1
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning	✅	✅	✅	✅	✅	❌	✅	6
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming	✅	✅	✅	✅	✅	❌	✅	6
Training Compute-Optimal Protein Language Models	❌	✅	✅	❌	✅	❌	✅	4
Training Data Attribution via Approximate Unrolling	❌	✅	✅	✅	✅	✅	✅	6
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis	❌	❌	❌	❌	❌	❌	✅	1
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data	❌	❌	✅	✅	✅	❌	✅	4
Training for Stable Explanation for Free	✅	✅	✅	✅	✅	✅	✅	7
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy	✅	✅	✅	❌	✅	❌	✅	5
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts	❌	❌	✅	❌	✅	❌	✅	3
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks	✅	❌	✅	✅	✅	❌	✅	5
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability	✅	❌	❌	❌	❌	❌	❌	1
Trajectory Diffusion for ObjectGoal Navigation	❌	✅	✅	✅	❌	❌	✅	4
Trajectory Flow Matching with Applications to Clinical Time Series Modelling	✅	✅	✅	✅	✅	❌	✅	6
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration	❌	✅	✅	✅	✅	❌	✅	5
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation	✅	✅	✅	❌	✅	❌	✅	5
Transcendence: Generative Models Can Outperform The Experts That Train Them	❌	✅	✅	❌	✅	❌	✅	4
Transcoders find interpretable LLM feature circuits	✅	✅	✅	❌	✅	❌	✅	5
Transductive Active Learning: Theory and Applications	✅	✅	✅	❌	❌	❌	✅	4
Transductive Learning is Compact	❌	❌	❌	❌	❌	❌	❌	0
Transfer Learning for Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Transfer Learning for Latent Variable Network Models	✅	✅	✅	❌	❌	❌	✅	4
Transfer Q-star : Principled Decoding for LLM Alignment	✅	✅	✅	❌	✅	✅	✅	6
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness	❌	✅	✅	❌	❌	❌	✅	3
Transferable Adversarial Attacks on SAM and Its Downstream Models	✅	✅	✅	❌	✅	❌	✅	5
Transferable Boltzmann Generators	❌	✅	✅	✅	✅	✅	✅	6
Transferring disentangled representations: bridging the gap between synthetic and real images	✅	✅	✅	❌	✅	❌	✅	5
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization	✅	❌	❌	❌	✅	❌	✅	3
Transformer Doctor: Diagnosing and Treating Vision Transformers	❌	✅	✅	❌	✅	❌	✅	4
Transformers Can Do Arithmetic with the Right Embeddings	❌	✅	✅	❌	✅	❌	✅	4
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression	❌	✅	✅	❌	✅	❌	❌	3
Transformers Represent Belief State Geometry in their Residual Stream	❌	✅	❌	❌	❌	❌	✅	2
Transformers are Minimax Optimal Nonparametric In-Context Learners	❌	❌	❌	❌	❌	❌	✅	1
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models	✅	✅	❌	❌	✅	❌	✅	4
Transformers need glasses! Information over-squashing in language tasks	❌	❌	❌	❌	❌	❌	✅	1
Transformers on Markov data: Constant depth suffices	✅	✅	✅	❌	✅	❌	✅	5
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models	✅	❌	✅	❌	✅	❌	✅	4
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner	❌	✅	✅	✅	✅	❌	✅	5
Transition Constrained Bayesian Optimization via Markov Decision Processes	✅	❌	✅	❌	✅	❌	✅	4
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks	✅	✅	✅	❌	✅	❌	✅	5
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness	✅	✅	✅	❌	❌	❌	✅	4
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically	✅	✅	✅	❌	✅	❌	✅	5
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing	✅	✅	✅	✅	✅	❌	✅	6
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees	✅	✅	✅	✅	✅	❌	✅	6
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization	✅	❌	✅	❌	✅	✅	✅	5
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives	✅	✅	✅	❌	✅	❌	✅	5
Truncated Variance Reduced Value Iteration	✅	❌	❌	❌	❌	❌	❌	1
Truth is Universal: Robust Detection of Lies in LLMs	❌	✅	✅	❌	✅	❌	✅	4
Truthful High Dimensional Sparse Linear Regression	✅	❌	❌	❌	❌	❌	❌	1
Truthfulness of Calibration Measures	✅	❌	❌	❌	❌	❌	❌	1
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks	❌	✅	✅	✅	✅	❌	✅	5
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models	✅	✅	✅	❌	✅	❌	✅	5
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging	✅	✅	✅	✅	✅	❌	✅	6
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Typicalness-Aware Learning for Failure Detection	❌	✅	✅	✅	✅	❌	✅	5
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers	❌	✅	✅	❌	✅	❌	✅	4
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems	✅	✅	✅	✅	✅	❌	✅	6
UDON: Universal Dynamic Online distillatioN for generic image representations	❌	✅	✅	✅	✅	❌	✅	5
UDPM: Upsampling Diffusion Probabilistic Models	✅	✅	✅	❌	✅	❌	✅	5
UGC: Universal Graph Coarsening	✅	❌	✅	✅	✅	❌	✅	5
UMB: Understanding Model Behavior for Open-World Object Detection	✅	✅	✅	❌	✅	❌	✅	5
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models	✅	✅	✅	❌	✅	❌	✅	5
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes	❌	✅	✅	✅	✅	❌	✅	5
UNIT: Unifying Image and Text Recognition in One Vision Encoder	❌	✅	✅	✅	✅	✅	✅	6
UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond	✅	❌	✅	❌	✅	❌	✅	4
UQ-Guided Hyperparameter Optimization for Iterative Learners	✅	✅	✅	✅	✅	❌	✅	6
UQE: A Query Engine for Unstructured Databases	✅	❌	✅	❌	✅	❌	✅	4
UV-free Texture Generation with Denoising and Geodesic Heat Diffusion	❌	✅	✅	✅	✅	❌	✅	5
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks	❌	✅	✅	❌	✅	❌	✅	4
Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction	❌	✅	✅	❌	✅	❌	✅	4
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs	❌	✅	✅	❌	❌	❌	✅	3
Uncertainty-aware Fine-tuning of Segmentation Foundation Models	❌	✅	✅	❌	✅	❌	✅	4
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions	❌	✅	✅	❌	✅	✅	✅	5
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast	❌	✅	✅	❌	✅	❌	✅	4
Unconditional stability of a recurrent neural circuit implementing divisive normalization	✅	✅	✅	✅	✅	❌	✅	6
Uncovering Safety Risks of Large Language Models through Concept Activation Vector	✅	✅	✅	❌	✅	❌	✅	5
Uncovering the Redundancy in Graph Self-supervised Learning Models	❌	✅	✅	✅	✅	❌	✅	5
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense	✅	❌	✅	✅	✅	❌	✅	5
Understanding Bias in Large-Scale Visual Datasets	❌	✅	✅	✅	✅	✅	✅	6
Understanding Emergent Abilities of Language Models from the Loss Perspective	❌	❌	✅	✅	✅	❌	✅	4
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure	✅	✅	✅	❌	✅	❌	✅	5
Understanding Hallucinations in Diffusion Models through Mode Interpolation	❌	✅	✅	❌	✅	❌	✅	4
Understanding Information Storage and Transfer in Multi-Modal Large Language Models	❌	❌	✅	❌	✅	❌	✅	3
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective	❌	✅	✅	✅	✅	❌	✅	5
Understanding Model Selection for Learning in Strategic Environments	✅	❌	❌	❌	❌	❌	✅	2
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective	❌	✅	✅	✅	✅	❌	✅	5
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data	❌	✅	✅	❌	✅	❌	✅	4
Understanding Transformer Reasoning Capabilities via Graph Algorithms	❌	❌	✅	✅	✅	❌	✅	4
Understanding Transformers via N-Gram Statistics	❌	❌	✅	✅	✅	❌	✅	4
Understanding Visual Feature Reliance through the Lens of Complexity	✅	❌	✅	✅	❌	❌	✅	4
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation	✅	✅	✅	✅	✅	❌	✅	6
Understanding and Improving Training-free Loss-based Diffusion Guidance	✅	✅	✅	❌	✅	❌	✅	5
Understanding and Minimising Outlier Features in Transformer Training	❌	✅	✅	✅	✅	❌	✅	5
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling	❌	❌	✅	❌	✅	❌	✅	3
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective	❌	❌	✅	✅	✅	❌	✅	4
Understanding the Gains from Repeated Self-Distillation	❌	❌	✅	✅	✅	❌	✅	4
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem	❌	✅	✅	❌	❌	❌	❌	2
Understanding the Role of Equivariance in Self-supervised Learning	❌	✅	✅	❌	✅	❌	✅	4
Understanding the Transferability of Representations via Task-Relatedness	✅	✅	✅	✅	✅	❌	✅	6
Unelicitable Backdoors via Cryptographic Transformer Circuits	✅	✅	❌	❌	✅	❌	✅	4
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE	❌	✅	✅	✅	✅	❌	✅	5
UniAR: A Unified model for predicting human Attention and Responses on visual content	❌	❌	✅	❌	✅	❌	✅	3
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner	❌	✅	✅	❌	✅	❌	✅	4
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation	❌	✅	✅	✅	✅	❌	✅	5
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior	❌	✅	✅	✅	✅	❌	✅	5
UniFL: Improve Latent Diffusion Model via Unified Feedback Learning	✅	✅	✅	✅	✅	❌	✅	6
UniGAD: Unifying Multi-level Graph Anomaly Detection	✅	✅	✅	✅	✅	❌	✅	6
UniIF: Unified Molecule Inverse Folding	❌	❌	✅	✅	✅	❌	✅	4
UniMTS: Unified Pre-training for Motion Time Series	❌	✅	✅	❌	✅	✅	✅	5
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections	❌	❌	✅	❌	✅	❌	✅	3
UniTS: A Unified Multi-Task Time Series Model	❌	✅	✅	❌	✅	❌	✅	4
Unified Covariate Adjustment for Causal Inference	✅	❌	❌	✅	❌	❌	✅	3
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection	❌	❌	✅	✅	✅	❌	✅	4
Unified Generative and Discriminative Training for Multi-modal Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement	✅	✅	✅	❌	✅	❌	✅	5
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs	✅	✅	✅	✅	✅	❌	✅	6
Unified Guidance for Geometry-Conditioned Molecular Generation	✅	✅	✅	✅	✅	❌	✅	6
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling	✅	✅	✅	✅	✅	❌	✅	6
Unified Lexical Representation for Interpretable Visual-Language Alignment	❌	✅	✅	✅	✅	❌	✅	5
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification	❌	✅	✅	✅	✅	✅	✅	6
Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs	❌	✅	✅	✅	✅	❌	✅	5
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles	❌	✅	✅	✅	✅	✅	✅	6
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image	✅	✅	✅	❌	✅	❌	✅	5
Unitary Convolutions for Learning on Graphs and Groups	✅	✅	✅	✅	✅	❌	✅	6
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories	✅	✅	✅	❌	✅	✅	✅	6
Unity by Diversity: Improved Representation Learning for Multimodal VAEs	❌	✅	✅	✅	✅	❌	✅	5
Universal Exact Compression of Differentially Private Mechanisms	✅	✅	❌	❌	✅	❌	✅	4
Universal In-Context Approximation By Prompting Fully Recurrent Models	✅	✅	❌	❌	❌	❌	❌	2
Universal Neural Functionals	✅	✅	✅	✅	✅	✅	✅	7
Universal Online Convex Optimization with $1$ Projection per Round	✅	❌	✅	❌	✅	❌	✅	4
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators	✅	✅	✅	✅	✅	❌	✅	6
Universal Rates for Active Learning	✅	❌	❌	❌	❌	❌	❌	1
Universal Rates of Empirical Risk Minimization	❌	❌	❌	❌	❌	❌	❌	0
Universal Sample Coding	✅	❌	✅	❌	✅	❌	✅	4
Universality in Transfer Learning for Linear Models	❌	✅	❌	❌	✅	✅	✅	4
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction	✅	✅	✅	❌	✅	❌	✅	5
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need	✅	✅	✅	❌	✅	✅	✅	6
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark	❌	✅	✅	✅	✅	❌	✅	5
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation	✅	✅	✅	✅	❌	❌	✅	5
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems	✅	✅	✅	❌	✅	❌	✅	5
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation	❌	✅	✅	❌	✅	❌	✅	4
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning	✅	❌	✅	❌	✅	✅	✅	5
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models	❌	✅	✅	❌	✅	❌	✅	4
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance	❌	✅	✅	✅	✅	❌	✅	5
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought	❌	✅	✅	✅	✅	❌	✅	5
Unlocking the Potential of Global Human Expertise	❌	✅	✅	✅	✅	✅	✅	6
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback	❌	✅	✅	❌	✅	❌	✅	4
Unraveling the Gradient Descent Dynamics of Transformers	❌	❌	✅	❌	❌	❌	✅	2
Unravelling in Collaborative Learning	❌	❌	❌	❌	❌	❌	❌	0
Unrolled denoising networks provably learn to perform optimal Bayesian inference	✅	❌	❌	❌	❌	❌	✅	2
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport	✅	✅	✅	❌	✅	❌	✅	5
Unsupervised Anomaly Detection in The Presence of Missing Values	❌	✅	✅	❌	✅	✅	✅	5
Unsupervised Discovery of Formulas for Mathematical Constants	❌	✅	❌	✅	✅	✅	✅	5
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization	❌	✅	✅	❌	✅	✅	✅	5
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Unsupervised Object Detection with Theoretical Guarantees	❌	❌	✅	❌	❌	❌	✅	2
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms	✅	✅	✅	❌	✅	❌	✅	5
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization	❌	✅	✅	❌	✅	❌	✅	4
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?	✅	✅	✅	❌	✅	❌	✅	5
Unveiling Encoder-Free Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers	❌	❌	❌	✅	✅	❌	✅	3
Unveiling LoRA Intrinsic Ranks via Salience Analysis	✅	✅	✅	✅	✅	❌	✅	6
Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance	❌	✅	✅	❌	❌	❌	✅	3
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms	✅	✅	✅	❌	❌	❌	✅	4
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness	✅	✅	✅	❌	✅	❌	✅	5
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis	✅	✅	✅	✅	✅	❌	✅	6
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation	❌	❌	✅	✅	✅	❌	✅	4
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators	✅	✅	✅	✅	✅	❌	✅	6
Unveiling the Tapestry of Consistency in Large Vision-Language Models	❌	✅	✅	❌	✅	❌	✅	4
Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation	❌	✅	✅	✅	✅	✅	✅	6
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction	❌	✅	✅	✅	✅	✅	✅	6
User-Creator Feature Polarization in Recommender Systems with Dual Influence	✅	✅	✅	❌	❌	❌	✅	4
User-item fairness tradeoffs in recommendations	❌	✅	✅	✅	✅	✅	❌	5
Using Noise to Infer Aspects of Simplicity Without Learning	❌	✅	✅	✅	❌	❌	✅	4
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes	✅	✅	✅	❌	✅	❌	✅	5
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs	❌	✅	✅	❌	✅	❌	✅	4
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary	❌	❌	✅	✅	✅	❌	✅	4
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series	❌	✅	✅	✅	❌	✅	✅	5
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time	❌	❌	✅	❌	✅	❌	✅	3
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks	✅	✅	✅	✅	✅	❌	✅	6
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction	❌	❌	✅	✅	✅	✅	✅	5
VFIMamba: Video Frame Interpolation with State Space Models	❌	❌	✅	❌	✅	❌	✅	3
VISA: Variational Inference with Sequential Sample-Average Approximations	✅	✅	❌	❌	❌	❌	✅	3
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance	❌	✅	✅	✅	✅	❌	✅	5
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought	✅	✅	✅	✅	✅	✅	✅	7
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions	❌	✅	✅	❌	✅	❌	✅	4
VMamba: Visual State Space Model	❌	✅	✅	✅	✅	❌	✅	5
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization	❌	✅	✅	✅	✅	❌	✅	5
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack	✅	✅	✅	❌	✅	❌	✅	5
Validating Climate Models with Spherical Convolutional Wasserstein Distance	✅	✅	✅	❌	✅	✅	✅	6
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training	✅	❌	✅	✅	✅	✅	✅	6
Variance estimation in compound decision theory under boundedness	❌	❌	❌	❌	❌	❌	❌	0
Variational Delayed Policy Optimization	✅	✅	✅	❌	✅	❌	✅	5
Variational Distillation of Diffusion Policies into Mixture of Experts	✅	✅	✅	❌	✅	❌	✅	5
Variational Flow Matching for Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting	✅	✅	✅	✅	✅	❌	✅	6
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections	✅	✅	✅	❌	✅	❌	✅	5
VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception	❌	✅	✅	✅	✅	❌	✅	5
Vector Quantization Prompting for Continual Learning	❌	✅	✅	✅	✅	❌	✅	5
Verifiably Robust Conformal Prediction	❌	✅	✅	✅	✅	❌	✅	5
Verified Code Transpilation with LLMs	✅	❌	✅	❌	❌	❌	✅	3
Verified Safe Reinforcement Learning for Neural Network Dynamic Models	✅	✅	❌	❌	✅	❌	✅	4
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation	❌	❌	✅	❌	✅	❌	✅	3
Video Diffusion Models are Training-free Motion Interpreter and Controller	✅	❌	✅	❌	✅	❌	✅	4
Video Token Merging for Long Video Understanding	❌	❌	✅	❌	✅	❌	✅	3
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation	❌	✅	✅	✅	✅	❌	✅	5
VideoTetris: Towards Compositional Text-to-Video Generation	❌	✅	✅	❌	✅	❌	✅	4
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels	❌	❌	❌	✅	✅	❌	✅	3
Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients	❌	✅	✅	❌	✅	❌	✅	4
VisMin: Visual Minimal-Change Understanding	❌	✅	✅	✅	✅	❌	✅	5
Vision Foundation Model Enables Generalizable Object Pose Estimation	❌	✅	✅	❌	✅	❌	✅	4
Vision Mamba Mender	❌	✅	✅	✅	✅	❌	✅	5
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning	❌	✅	✅	✅	✅	❌	✅	5
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights	❌	✅	✅	❌	✅	❌	✅	4
Vision-Language Models are Strong Noisy Label Detectors	✅	✅	✅	❌	✅	❌	✅	5
Vision-Language Navigation with Energy-Based Policy	✅	❌	✅	✅	✅	❌	✅	5
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks	❌	❌	✅	❌	✅	✅	✅	4
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability	❌	✅	✅	✅	✅	❌	✅	5
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model	✅	✅	✅	❌	✅	❌	✅	5
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction	✅	✅	✅	✅	❌	❌	✅	5
Visual Data Diagnosis and Debiasing with Concept Graphs	✅	✅	✅	✅	✅	❌	✅	6
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Visual Fourier Prompt Tuning	❌	✅	✅	✅	✅	❌	✅	5
Visual Perception by Large Language Model’s Weights	❌	✅	✅	✅	✅	❌	✅	5
Visual Pinwheel Centers Act as Geometric Saliency Detectors	❌	❌	✅	❌	✅	✅	✅	4
Visual Prompt Tuning in Null Space for Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models	✅	✅	✅	✅	❌	❌	❌	4
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing	❌	❌	✅	✅	✅	✅	✅	5
Vivid-ZOO: Multi-View Video Generation with Diffusion Model	❌	❌	❌	❌	✅	❌	✅	2
Voila-A: Aligning Vision-Language Models with User's Gaze Attention	❌	✅	✅	✅	❌	✅	✅	5
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion	❌	✅	✅	✅	✅	❌	✅	5
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
WATT: Weight Average Test Time Adaptation of CLIP	✅	✅	✅	✅	✅	✅	✅	7
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models	✅	✅	✅	❌	✅	❌	✅	5
Warm-starting Push-Relabel	✅	✅	✅	❌	❌	❌	✅	4
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes	✅	❌	❌	❌	❌	❌	❌	1
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation	❌	✅	✅	✅	✅	❌	✅	5
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness	❌	❌	✅	❌	❌	❌	✅	2
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds	❌	❌	❌	❌	❌	❌	✅	1
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents	❌	✅	✅	❌	✅	❌	✅	4
WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off	✅	✅	✅	❌	✅	❌	✅	5
Watermarking Makes Language Models Radioactive	❌	✅	✅	❌	✅	❌	✅	4
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Weak Supervision Performance Evaluation via Partial Identification	❌	✅	✅	❌	❌	❌	✅	3
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles	❌	✅	✅	❌	❌	❌	✅	3
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models	✅	✅	✅	❌	✅	❌	✅	5
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach	❌	❌	✅	✅	✅	✅	✅	5
WeiPer: OOD Detection using Weight Perturbations of Class Projections	❌	✅	✅	✅	✅	❌	✅	5
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments	✅	✅	✅	✅	✅	❌	✅	6
Weight decay induces low-rank attention layers	❌	❌	✅	❌	✅	❌	✅	3
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML	✅	✅	✅	❌	✅	✅	✅	6
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning	❌	✅	✅	✅	✅	❌	✅	5
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration	❌	❌	✅	❌	✅	❌	✅	3
What If the Input is Expanded in OOD Detection?	❌	✅	✅	✅	✅	✅	✅	6
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights	❌	✅	✅	❌	✅	❌	✅	4
What Makes Partial-Label Learning Algorithms Effective?	❌	❌	✅	✅	✅	❌	✅	4
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study	❌	✅	❌	❌	✅	❌	✅	3
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective	✅	✅	✅	✅	✅	❌	✅	6
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information	✅	❌	✅	❌	✅	❌	✅	4
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?	❌	✅	✅	✅	✅	❌	✅	5
What do Graph Neural Networks learn? Insights from Tropical Geometry	✅	❌	❌	❌	❌	❌	❌	1
What does guidance do? A fine-grained analysis in a simple setting	❌	✅	✅	❌	✅	❌	✅	4
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks	❌	✅	✅	✅	✅	✅	✅	6
What makes unlearning hard and what to do about it	❌	✅	✅	✅	✅	❌	✅	5
What matters when building vision-language models?	❌	✅	✅	✅	✅	❌	✅	5
What type of inference is planning?	❌	✅	✅	❌	❌	✅	✅	4
When Is Inductive Inference Possible?	✅	❌	❌	❌	❌	❌	❌	1
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search	✅	✅	✅	❌	✅	❌	✅	5
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback	❌	❌	❌	❌	❌	❌	✅	1
When are dynamical systems learned from time series data statistically accurate?	❌	✅	✅	❌	✅	❌	✅	4
When does perceptual alignment benefit vision representations?	❌	✅	✅	✅	✅	❌	✅	5
When is Multicalibration Post-Processing Necessary?	❌	✅	✅	✅	✅	❌	✅	5
When is an Embedding Model More Promising than Another?	✅	✅	✅	✅	✅	❌	✅	6
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding	✅	✅	✅	✅	✅	❌	✅	6
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL	❌	✅	✅	❌	❌	❌	✅	3
Where Do Large Learning Rates Lead Us?	❌	✅	✅	❌	✅	❌	✅	4
Where does In-context Learning Happen in Large Language Models?	❌	✅	✅	✅	✅	❌	✅	5
Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)	❌	✅	✅	❌	✅	✅	❌	4
Who's asking? User personas and the mechanics of latent misalignment	❌	❌	✅	❌	✅	❌	✅	3
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation	✅	✅	✅	✅	✅	✅	✅	7
Why Do We Need Weight Decay in Modern Deep Learning?	❌	✅	✅	❌	✅	❌	✅	4
Why Go Full? Elevating Federated Learning Through Partial Network Updates	❌	✅	✅	❌	✅	❌	✅	4
Why Transformers Need Adam: A Hessian Perspective	✅	✅	✅	❌	✅	❌	✅	5
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements	✅	✅	✅	✅	✅	❌	✅	6
Why are Visually-Grounded Language Models Bad at Image Classification?	❌	✅	✅	✅	✅	❌	✅	5
Why the Metric Backbone Preserves Community Structure	✅	✅	✅	❌	✅	❌	✅	5
Wide Two-Layer Networks can Learn from Adversarial Perturbations	❌	✅	✅	❌	✅	❌	✅	4
Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections	❌	✅	✅	❌	✅	❌	✅	4
WildGaussians: 3D Gaussian Splatting In the Wild	❌	✅	✅	❌	✅	❌	✅	4
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models	❌	✅	✅	✅	✅	❌	✅	5
Wings: Learning Multimodal LLMs without Text-only Forgetting	❌	❌	✅	❌	✅	❌	✅	3
WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena	❌	❌	✅	❌	❌	❌	✅	2
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment	✅	❌	✅	❌	❌	❌	✅	3
Wormhole Loss for Partial Shape Matching	❌	✅	✅	❌	✅	❌	✅	4
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support	❌	❌	❌	❌	❌	❌	❌	0
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads	✅	✅	✅	✅	✅	❌	✅	6
X-Ray: A Sequential 3D Representation For Generation	✅	✅	✅	❌	✅	❌	✅	5
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
YOLOv10: Real-Time End-to-End Object Detection	✅	✅	✅	✅	✅	❌	✅	6
Yo'LLaVA: Your Personalized Language and Vision Assistant	❌	✅	✅	❌	✅	❌	✅	4
You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning	❌	✅	✅	❌	✅	❌	✅	4
You Only Cache Once: Decoder-Decoder Architectures for Language Models	✅	❌	❌	✅	✅	❌	✅	4
You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection	❌	✅	✅	✅	✅	❌	✅	5
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals	❌	✅	✅	❌	✅	✅	✅	5
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training	✅	✅	✅	✅	✅	❌	✅	6
Your contrastive learning problem is secretly a distribution alignment problem	✅	✅	✅	✅	✅	❌	✅	6
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving	✅	✅	✅	✅	✅	❌	✅	6
Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain	❌	✅	✅	❌	✅	❌	✅	4
Zero-Shot Reinforcement Learning from Low Quality Data	✅	✅	✅	❌	✅	❌	✅	5
Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly	❌	✅	✅	❌	✅	❌	✅	4
Zero-Shot Tokenizer Transfer	✅	❌	✅	❌	✅	✅	✅	5
Zero-Shot Transfer of Neural ODEs	✅	✅	✅	✅	✅	❌	✅	6
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection	❌	✅	✅	❌	✅	❌	✅	4
Zero-shot Image Editing with Reference Imitation	❌	❌	✅	✅	✅	❌	✅	4
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering	❌	❌	✅	❌	✅	❌	✅	3
ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark	✅	✅	✅	✅	✅	❌	✅	6
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion	✅	✅	❌	❌	✅	❌	✅	4
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification	✅	✅	✅	❌	✅	❌	✅	5
Zipfian Whitening	✅	✅	✅	✅	✅	❌	✅	6
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference	✅	❌	✅	❌	✅	❌	✅	4
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction	❌	✅	✅	❌	✅	❌	✅	4
e-COP : Episodic Constrained Optimization of Policies	✅	✅	✅	❌	✅	✅	✅	6
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling	✅	❌	✅	✅	✅	❌	✅	5
einspace: Searching for Neural Architectures from Fundamental Operations	❌	✅	✅	✅	✅	❌	✅	5
fMRI predictors based on language models of increasing complexity recover brain left lateralization	❌	✅	✅	✅	✅	✅	✅	6
iVideoGPT: Interactive VideoGPTs are Scalable World Models	✅	✅	✅	✅	✅	❌	✅	6
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning	✅	✅	✅	✅	✅	✅	✅	7
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization	✅	✅	✅	✅	✅	❌	✅	6
realSEUDO for real-time calcium imaging analysis	✅	❌	✅	❌	✅	❌	✅	4
xLSTM: Extended Long Short-Term Memory	❌	✅	✅	✅	✅	✅	✅	6
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology	❌	✅	✅	✅	✅	❌	✅	5
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token	❌	✅	✅	❌	✅	❌	✅	4