reproducibilityindex.ai

Conference on Neural Information Processing Systems (NeurIPS) - 2024

Conference Proceedings:

Key: PC - Pseudocode, OSC - Open Source Code, OSD - Open Datasets, DS - Dataset Splits, HS - Hardware Specification, SD - Software Dependencies, ES - 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