reproducibilityindex.ai

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 [1].

Conference on Neural Information Processing Systems (NeurIPS) - 2024

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Venue	Year	Papers	Reproducibility Score Reproducibility Score based on Gundersen et al. (2025)	Documentation Score Global mean is the average score over the seven reproducibility variables for empirical research papers.	% 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