reproducibilityindex.ai

Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].

Conference on Neural Information Processing Systems (NeurIPS) - 2023

Website:

Venue	Year	Papers	Reproducibility Score Reproducibility Score based on Gundersen et al. (2025)	Documentation Score Global mean is the average score over the seven reproducibility variables for empirical research papers.	% Empirical Percentage of papers that are empirical research vs theoretical research	% Industry Percentage of empirical research papers with at least one author from Industry	Website
NeurIPS	2023	3218	0.6	4.05	92.42%	40.99%

Search Papers

	Pseudocode	Open Source Code	Open Datasets	Dataset Splits	Hardware Specification	Software Dependencies	Experiment Setup
$H$-Consistency Bounds: Characterization and Extensions	❌	❌	❌	❌	❌	❌	❌	0
$L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting	✅	❌	❌	✅	❌	❌	❌	2
$SE(3)$ Equivariant Convolution and Transformer in Ray Space	❌	❌	✅	✅	❌	❌	✅	3
$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput	❌	❌	✅	❌	✅	❌	❌	2
$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning	✅	✅	✅	❌	✅	❌	✅	5
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
$\varepsilon$-fractional core stability in Hedonic Games.	✅	❌	❌	❌	❌	❌	❌	1
$k$-Means Clustering with Distance-Based Privacy	✅	❌	✅	❌	❌	❌	✅	3
$p$-Poisson surface reconstruction in curl-free flow from point clouds	❌	✅	✅	❌	✅	❌	✅	4
$p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison	❌	✅	✅	❌	✅	❌	✅	4
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy	❌	✅	✅	✅	✅	❌	✅	5
(Amplified) Banded Matrix Factorization: A unified approach to private training	✅	❌	✅	✅	❌	❌	✅	4
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability	❌	❌	❌	❌	❌	❌	✅	1
2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression	✅	❌	✅	❌	✅	✅	✅	5
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection	✅	✅	✅	✅	❌	❌	❌	4
3D Indoor Instance Segmentation in an Open-World	❌	✅	✅	✅	❌	❌	✅	4
3D molecule generation by denoising voxel grids	✅	❌	✅	✅	✅	❌	✅	5
3D-Aware Visual Question Answering about Parts, Poses and Occlusions	❌	✅	❌	✅	✅	❌	✅	4
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes	✅	✅	❌	❌	✅	❌	✅	4
3D-LLM: Injecting the 3D World into Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
4D Panoptic Scene Graph Generation	❌	✅	✅	❌	❌	❌	✅	3
4M: Massively Multimodal Masked Modeling	❌	✅	✅	✅	✅	❌	✅	5
A Batch-to-Online Transformation under Random-Order Model	✅	❌	❌	❌	❌	❌	✅	2
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning	❌	✅	✅	❌	✅	❌	✅	4
A Bayesian Take on Gaussian Process Networks	✅	✅	✅	❌	❌	✅	✅	5
A Bounded Ability Estimation for Computerized Adaptive Testing	✅	✅	✅	✅	✅	❌	✅	6
A Causal Framework for Decomposing Spurious Variations	✅	✅	✅	❌	❌	❌	✅	4
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)	❌	❌	✅	✅	❌	❌	❌	2
A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings	✅	✅	✅	❌	✅	❌	❌	4
A Competitive Algorithm for Agnostic Active Learning	✅	❌	❌	❌	❌	❌	❌	1
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting	✅	✅	✅	❌	✅	✅	✅	6
A Computationally Efficient Sparsified Online Newton Method	✅	✅	✅	✅	✅	❌	✅	6
A Cross-Moment Approach for Causal Effect Estimation	✅	✅	✅	❌	❌	❌	❌	3
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks	✅	✅	✅	❌	✅	❌	✅	5
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability	✅	✅	✅	✅	✅	❌	✅	6
A Definition of Continual Reinforcement Learning	❌	❌	❌	❌	❌	❌	✅	1
A Diffusion-Model of Joint Interactive Navigation	❌	❌	✅	❌	✅	❌	✅	3
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains	❌	✅	✅	❌	✅	✅	✅	5
A Dynamical System View of Langevin-Based Non-Convex Sampling	❌	❌	❌	❌	❌	❌	❌	0
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging	✅	✅	❌	❌	✅	❌	✅	4
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent	✅	❌	❌	❌	❌	❌	❌	1
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games	✅	❌	❌	❌	❌	❌	✅	2
A Fractional Graph Laplacian Approach to Oversmoothing	✅	✅	✅	✅	✅	❌	✅	6
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions	✅	✅	✅	✅	✅	❌	✅	6
A General Framework for Equivariant Neural Networks on Reductive Lie Groups	❌	✅	✅	✅	✅	❌	✅	5
A General Framework for Robust G-Invariance in G-Equivariant Networks	❌	✅	✅	✅	❌	❌	✅	4
A General Theory of Correct, Incorrect, and Extrinsic Equivariance	❌	✅	✅	✅	✅	❌	✅	5
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning	❌	✅	✅	✅	✅	✅	✅	6
A Guide Through the Zoo of Biased SGD	✅	❌	✅	❌	✅	✅	✅	5
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction	✅	✅	✅	✅	✅	❌	✅	6
A Heavy-Tailed Algebra for Probabilistic Programming	✅	✅	✅	❌	❌	❌	❌	3
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space	❌	✅	✅	✅	✅	❌	❌	4
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design	❌	✅	✅	✅	✅	❌	✅	5
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation	❌	❌	✅	❌	✅	❌	✅	3
A Logic for Expressing Log-Precision Transformers	✅	❌	❌	❌	❌	❌	❌	1
A Long $N$-step Surrogate Stage Reward for Deep Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
A Measure-Theoretic Axiomatisation of Causality	❌	❌	❌	❌	❌	❌	❌	0
A Metadata-Driven Approach to Understand Graph Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks	❌	✅	✅	❌	✅	✅	✅	5
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective	❌	❌	✅	❌	❌	❌	✅	2
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence	✅	✅	❌	❌	❌	❌	✅	3
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment	✅	✅	✅	❌	❌	✅	✅	5
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search	✅	✅	✅	✅	✅	❌	✅	6
A Path to Simpler Models Starts With Noise	✅	❌	✅	✅	❌	❌	✅	4
A Privacy-Friendly Approach to Data Valuation	✅	❌	✅	✅	✅	❌	✅	5
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints	✅	✅	✅	✅	✅	❌	✅	6
A Randomized Approach to Tight Privacy Accounting	✅	❌	✅	❌	✅	❌	✅	4
A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation	❌	❌	❌	❌	❌	❌	❌	0
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback	✅	❌	❌	❌	❌	❌	❌	1
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems	❌	✅	✅	✅	✅	❌	✅	5
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance	✅	✅	✅	❌	✅	✅	✅	6
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods	❌	✅	✅	✅	✅	❌	✅	5
A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem	✅	✅	✅	❌	✅	❌	✅	5
A Robust and Opponent-Aware League Training Method for StarCraft II	❌	❌	✅	❌	✅	❌	✅	3
A Scalable Neural Network for DSIC Affine Maximizer Auction Design	❌	✅	❌	❌	❌	❌	✅	2
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models	✅	✅	✅	❌	❌	✅	✅	5
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories	✅	✅	✅	❌	✅	❌	✅	5
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm	✅	❌	✅	❌	✅	✅	✅	5
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation	❌	❌	✅	❌	✅	❌	✅	3
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization	✅	❌	✅	❌	❌	❌	❌	2
A Smooth Binary Mechanism for Efficient Private Continual Observation	✅	✅	❌	❌	✅	✅	❌	4
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm	✅	❌	❌	❌	❌	❌	❌	1
A Spectral Theory of Neural Prediction and Alignment	❌	✅	✅	❌	✅	✅	✅	5
A State Representation for Diminishing Rewards	✅	❌	✅	❌	✅	❌	✅	4
A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time	✅	❌	❌	❌	✅	❌	✅	3
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence	❌	✅	✅	❌	✅	❌	✅	4
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes	✅	❌	❌	❌	❌	❌	❌	1
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression	❌	❌	❌	❌	❌	❌	✅	1
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs	❌	✅	✅	✅	✅	❌	✅	5
A Theory of Multimodal Learning	❌	❌	❌	❌	❌	❌	❌	0
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications	❌	❌	❌	❌	✅	❌	❌	1
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication	❌	✅	❌	✅	✅	❌	✅	4
A Trichotomy for Transductive Online Learning	✅	❌	❌	❌	❌	❌	❌	1
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning	✅	✅	✅	✅	✅	❌	✅	6
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process	✅	✅	❌	❌	✅	❌	✅	4
A Unified Approach for Maximizing Continuous DR-submodular Functions	✅	❌	❌	❌	❌	❌	❌	1
A Unified Approach to Count-Based Weakly Supervised Learning	✅	✅	✅	❌	❌	❌	❌	3
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm	✅	✅	✅	❌	✅	❌	✅	5
A Unified Conditional Framework for Diffusion-based Image Restoration	❌	✅	✅	❌	✅	❌	✅	4
A Unified Detection Framework for Inference-Stage Backdoor Defenses	✅	❌	✅	✅	✅	❌	✅	5
A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization	❌	❌	❌	❌	❌	❌	✅	1
A Unified Fast Gradient Clipping Framework for DP-SGD	✅	✅	❌	❌	✅	✅	✅	5
A Unified Framework for Rank-based Loss Minimization	✅	✅	✅	✅	✅	❌	✅	6
A Unified Framework for U-Net Design and Analysis	✅	✅	✅	✅	✅	✅	✅	7
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing	❌	❌	✅	❌	✅	✅	✅	4
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning	✅	❌	✅	✅	❌	❌	✅	4
A Unified Model and Dimension for Interactive Estimation	✅	❌	❌	❌	❌	❌	❌	1
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning	✅	✅	✅	❌	❌	❌	✅	4
A Unified, Scalable Framework for Neural Population Decoding	❌	✅	✅	✅	✅	❌	✅	5
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning	✅	✅	✅	❌	✅	❌	✅	5
A Variational Perspective on High-Resolution ODEs	❌	❌	✅	❌	✅	❌	✅	3
A case for reframing automated medical image classification as segmentation	✅	❌	✅	✅	❌	✅	✅	5
A fast heuristic to optimize time-space tradeoff for large models	✅	❌	✅	❌	✅	✅	✅	5
A generative model of the hippocampal formation trained with theta driven local learning rules	❌	✅	❌	❌	❌	❌	✅	2
A graphon-signal analysis of graph neural networks	❌	✅	✅	❌	❌	❌	✅	3
A new perspective on building efficient and expressive 3D equivariant graph neural networks	✅	✅	✅	✅	✅	❌	✅	6
A normative theory of social conflict	✅	❌	❌	❌	✅	✅	✅	4
A polar prediction model for learning to represent visual transformations	❌	❌	✅	❌	✅	❌	✅	3
A unified framework for information-theoretic generalization bounds	❌	❌	❌	❌	❌	❌	❌	0
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs	✅	✅	✅	✅	✅	❌	✅	6
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference	✅	✅	✅	✅	✅	❌	✅	6
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning	✅	✅	✅	❌	❌	❌	✅	4
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset	❌	✅	✅	✅	✅	❌	✅	5
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix	✅	✅	✅	✅	✅	❌	✅	6
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning	❌	❌	✅	❌	✅	❌	✅	3
AIMS: All-Inclusive Multi-Level Segmentation for Anything	❌	✅	✅	✅	✅	❌	✅	5
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers	✅	✅	✅	❌	❌	✅	✅	5
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning	✅	✅	✅	✅	✅	❌	✅	6
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity	❌	✅	✅	✅	✅	❌	✅	5
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis	✅	❌	✅	❌	❌	❌	✅	3
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution	❌	❌	✅	❌	❌	❌	✅	2
ANPL: Towards Natural Programming with Interactive Decomposition	✅	❌	✅	✅	❌	❌	✅	4
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation	✅	✅	❌	❌	✅	❌	✅	4
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation	✅	✅	✅	❌	✅	❌	✅	5
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections	❌	❌	✅	❌	❌	❌	✅	2
ARTree: A Deep Autoregressive Model for Phylogenetic Inference	✅	✅	✅	❌	✅	❌	✅	5
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training	❌	✅	✅	✅	✅	❌	✅	5
ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks	✅	✅	✅	❌	✅	✅	✅	6
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation	❌	✅	✅	❌	✅	❌	✅	4
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation	✅	✅	✅	✅	✅	❌	✅	6
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis	❌	❌	✅	✅	❌	❌	✅	3
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent	✅	❌	✅	❌	❌	❌	✅	3
AbDiffuser: full-atom generation of in-vitro functioning antibodies	✅	❌	✅	✅	✅	❌	✅	5
Abide by the law and follow the flow: conservation laws for gradient flows	❌	✅	❌	❌	❌	❌	❌	1
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism	✅	❌	✅	❌	✅	❌	✅	4
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization	✅	❌	❌	❌	✅	✅	✅	4
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation	✅	❌	✅	❌	✅	❌	✅	4
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance	✅	✅	❌	❌	❌	❌	✅	3
Accelerating Exploration with Unlabeled Prior Data	✅	❌	✅	❌	✅	❌	✅	4
Accelerating Molecular Graph Neural Networks via Knowledge Distillation	❌	✅	✅	✅	✅	❌	✅	5
Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction	✅	✅	✅	❌	❌	❌	✅	4
Accelerating Motion Planning via Optimal Transport	✅	❌	❌	❌	✅	❌	✅	3
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration	✅	✅	✅	❌	✅	❌	✅	5
Accelerating Value Iteration with Anchoring	❌	❌	❌	❌	❌	❌	❌	0
Accessing Higher Dimensions for Unsupervised Word Translation	✅	✅	✅	❌	❌	❌	✅	4
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples	✅	✅	✅	❌	✅	❌	✅	5
Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement	❌	❌	✅	❌	❌	❌	✅	2
Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization	✅	❌	✅	✅	❌	❌	✅	4
Achieving Cross Modal Generalization with Multimodal Unified Representation	❌	✅	✅	❌	❌	❌	✅	3
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs	❌	✅	✅	❌	✅	❌	✅	4
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models	✅	✅	✅	✅	✅	❌	✅	6
Active Bipartite Ranking	✅	❌	❌	❌	❌	❌	❌	1
Active Learning for Semantic Segmentation with Multi-class Label Query	❌	✅	✅	✅	❌	❌	✅	4
Active Learning-Based Species Range Estimation	❌	✅	✅	❌	✅	❌	✅	4
Active Negative Loss Functions for Learning with Noisy Labels	❌	✅	✅	✅	❌	❌	✅	4
Active Observing in Continuous-time Control	✅	✅	✅	❌	✅	✅	✅	6
Active Reasoning in an Open-World Environment	❌	✅	✅	✅	✅	❌	✅	5
Active Vision Reinforcement Learning under Limited Visual Observability	❌	✅	✅	❌	❌	❌	✅	3
Active representation learning for general task space with applications in robotics	✅	✅	✅	❌	❌	❌	❌	3
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice	✅	✅	✅	✅	✅	❌	✅	6
Activity Grammars for Temporal Action Segmentation	✅	❌	✅	❌	❌	❌	✅	3
AdANNS: A Framework for Adaptive Semantic Search	✅	✅	✅	✅	✅	✅	✅	7
AdaPlanner: Adaptive Planning from Feedback with Language Models	✅	✅	✅	❌	❌	✅	✅	5
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders	❌	✅	✅	❌	❌	❌	✅	3
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking	✅	✅	✅	✅	✅	✅	✅	7
Adapting Fairness Interventions to Missing Values	✅	❌	✅	❌	❌	❌	✅	3
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering	❌	✅	✅	✅	❌	❌	✅	4
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation	✅	❌	✅	❌	✅	❌	✅	4
Adaptive Algorithms for Relaxed Pareto Set Identification	✅	❌	❌	❌	❌	❌	✅	2
Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects	❌	✅	✅	✅	✅	❌	✅	5
Adaptive Data Analysis in a Balanced Adversarial Model	✅	❌	❌	❌	❌	❌	❌	1
Adaptive Linear Estimating Equations	✅	✅	❌	❌	❌	❌	✅	3
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Online Replanning with Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Adaptive Principal Component Regression with Applications to Panel Data	❌	❌	❌	❌	❌	❌	❌	0
Adaptive Privacy Composition for Accuracy-first Mechanisms	❌	❌	✅	❌	❌	❌	✅	2
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction	✅	❌	✅	❌	❌	❌	✅	3
Adaptive Selective Sampling for Online Prediction with Experts	❌	✅	❌	❌	✅	❌	✅	3
Adaptive Test-Time Personalization for Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds	❌	✅	✅	❌	✅	✅	✅	5
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations	✅	✅	✅	✅	✅	❌	✅	6
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels	❌	❌	✅	❌	✅	❌	✅	3
Adaptive whitening with fast gain modulation and slow synaptic plasticity	✅	✅	✅	❌	❌	❌	✅	4
Add and Thin: Diffusion for Temporal Point Processes	✅	✅	✅	✅	✅	❌	✅	6
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation	❌	✅	✅	✅	❌	❌	✅	4
Addressing Negative Transfer in Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons	❌	✅	✅	❌	❌	❌	✅	3
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing	✅	❌	❌	❌	✅	❌	✅	3
Advancing Bayesian Optimization via Learning Correlated Latent Space	✅	❌	✅	❌	❌	❌	✅	3
Adversarial Attacks on Online Learning to Rank with Click Feedback	✅	❌	✅	❌	❌	❌	✅	3
Adversarial Counterfactual Environment Model Learning	✅	✅	✅	✅	✅	❌	✅	6
Adversarial Examples Are Not Real Features	❌	✅	✅	❌	❌	❌	✅	3
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces	❌	✅	✅	❌	❌	❌	✅	3
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness	✅	❌	✅	❌	✅	❌	✅	4
Adversarial Learning for Feature Shift Detection and Correction	✅	✅	✅	✅	✅	❌	✅	6
Adversarial Model for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Adversarial Resilience in Sequential Prediction via Abstention	✅	❌	❌	❌	❌	❌	❌	1
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach	✅	✅	✅	✅	❌	❌	✅	5
Adversarial Robustness through Random Weight Sampling	✅	❌	✅	❌	✅	❌	✅	4
Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions	✅	✅	✅	✅	✅	❌	✅	6
Adversarial Training from Mean Field Perspective	❌	❌	✅	❌	✅	❌	✅	3
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy	✅	❌	❌	❌	❌	❌	❌	1
Adversarially Robust Learning with Uncertain Perturbation Sets	❌	❌	❌	❌	❌	❌	❌	0
Advice Querying under Budget Constraint for Online Algorithms	✅	❌	❌	❌	❌	❌	✅	2
Affinity-Aware Graph Networks	❌	❌	✅	✅	✅	❌	✅	4
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices	✅	✅	✅	❌	✅	❌	✅	5
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors	✅	✅	✅	✅	✅	❌	✅	6
Agnostic Multi-Group Active Learning	✅	❌	❌	❌	❌	❌	❌	1
Agnostically Learning Single-Index Models using Omnipredictors	✅	❌	❌	❌	❌	❌	❌	1
AiluRus: A Scalable ViT Framework for Dense Prediction	❌	✅	✅	✅	✅	❌	✅	5
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems	✅	❌	✅	❌	✅	❌	✅	4
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation	✅	✅	✅	❌	✅	❌	✅	5
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions	✅	❌	✅	❌	❌	❌	✅	3
Algorithm Selection for Deep Active Learning with Imbalanced Datasets	✅	✅	✅	❌	❌	❌	✅	4
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing	❌	✅	❌	❌	✅	❌	✅	3
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization	❌	✅	✅	✅	✅	❌	✅	5
Aligning Gradient and Hessian for Neural Signed Distance Function	❌	❌	✅	❌	❌	❌	✅	2
Aligning Language Models with Human Preferences via a Bayesian Approach	❌	✅	✅	✅	✅	✅	✅	6
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation	✅	✅	✅	❌	❌	❌	✅	4
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback	✅	❌	❌	❌	✅	❌	✅	3
Alignment with human representations supports robust few-shot learning	❌	✅	✅	❌	✅	❌	✅	4
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation	❌	❌	✅	✅	❌	❌	✅	3
Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction	✅	✅	✅	✅	❌	❌	✅	5
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback	❌	✅	✅	✅	✅	❌	✅	5
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception	✅	❌	✅	❌	✅	❌	✅	4
Alternating Updates for Efficient Transformers	✅	❌	✅	✅	✅	❌	✅	5
Alternation makes the adversary weaker in two-player games	✅	❌	❌	❌	❌	❌	❌	1
AmadeusGPT: a natural language interface for interactive animal behavioral analysis	❌	✅	✅	❌	❌	❌	✅	3
Ambient Diffusion: Learning Clean Distributions from Corrupted Data	✅	✅	✅	❌	✅	❌	✅	5
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs	❌	✅	✅	✅	✅	❌	✅	5
An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond	✅	✅	✅	❌	✅	✅	✅	6
An Adaptive Algorithm for Learning with Unknown Distribution Drift	✅	❌	❌	❌	❌	❌	❌	1
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition	✅	❌	✅	✅	❌	❌	✅	4
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient	✅	✅	✅	❌	❌	❌	✅	4
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning	✅	❌	✅	❌	❌	❌	✅	3
An Efficient Doubly-Robust Test for the Kernel Treatment Effect	✅	❌	✅	❌	❌	❌	✅	3
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination	✅	❌	✅	❌	✅	✅	✅	5
An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint	✅	❌	✅	❌	✅	✅	✅	5
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations	✅	✅	✅	✅	❌	❌	✅	5
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits	❌	❌	❌	❌	❌	❌	❌	0
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits	✅	❌	❌	❌	❌	❌	❌	1
An Inductive Bias for Tabular Deep Learning	❌	✅	✅	✅	❌	❌	✅	4
An Information Theory Perspective on Variance-Invariance-Covariance Regularization	❌	❌	✅	❌	❌	❌	✅	2
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions	❌	✅	✅	✅	❌	❌	✅	4
An Inverse Scaling Law for CLIP Training	❌	✅	✅	❌	✅	❌	✅	4
An Iterative Self-Learning Framework for Medical Domain Generalization	✅	❌	✅	✅	✅	✅	✅	6
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization	✅	❌	❌	❌	✅	✅	✅	4
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions	✅	✅	✅	❌	✅	✅	✅	6
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions	✅	✅	✅	✅	❌	❌	✅	5
An active learning framework for multi-group mean estimation	✅	❌	❌	❌	❌	❌	✅	2
An information-theoretic quantification of the content of communication between brain regions	❌	✅	✅	❌	✅	✅	✅	5
Analysis of Variance of Multiple Causal Networks	✅	❌	✅	❌	❌	❌	✅	3
Analyzing Generalization of Neural Networks through Loss Path Kernels	❌	❌	✅	❌	✅	❌	✅	3
Analyzing Vision Transformers for Image Classification in Class Embedding Space	❌	✅	✅	❌	❌	❌	❌	2
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods	❌	✅	✅	✅	✅	❌	✅	5
Anchor Data Augmentation	✅	✅	✅	✅	❌	❌	✅	5
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation	❌	❌	✅	✅	✅	❌	✅	4
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization	❌	❌	❌	❌	❌	❌	✅	1
Anonymous and Copy-Robust Delegations for Liquid Democracy	✅	❌	❌	❌	❌	❌	❌	1
Any-to-Any Generation via Composable Diffusion	❌	✅	✅	✅	❌	❌	✅	4
Anytime Model Selection in Linear Bandits	✅	✅	❌	❌	❌	❌	✅	3
Anytime-Competitive Reinforcement Learning with Policy Prior	✅	❌	✅	❌	❌	❌	✅	3
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders	✅	✅	❌	❌	✅	❌	✅	4
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent	❌	✅	✅	❌	❌	❌	✅	3
Approximate inference of marginals using the IBIA framework	❌	❌	✅	❌	✅	❌	✅	3
Approximately Equivariant Graph Networks	✅	✅	✅	✅	✅	❌	✅	6
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance	❌	❌	❌	❌	❌	❌	❌	0
Arbitrarily Scalable Environment Generators via Neural Cellular Automata	❌	✅	❌	❌	❌	❌	✅	2
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
Are Diffusion Models Vision-And-Language Reasoners?	❌	✅	✅	❌	✅	❌	✅	4
Are Emergent Abilities of Large Language Models a Mirage?	❌	❌	✅	❌	❌	❌	✅	2
Are GATs Out of Balance?	✅	✅	✅	✅	✅	❌	✅	6
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?	❌	✅	✅	✅	✅	❌	✅	5
Are aligned neural networks adversarially aligned?	❌	❌	✅	❌	❌	❌	✅	2
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment	✅	✅	✅	❌	❌	❌	✅	4
Assumption violations in causal discovery and the robustness of score matching	✅	✅	❌	❌	❌	❌	✅	3
Asymmetric Certified Robustness via Feature-Convex Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits	✅	❌	❌	❌	❌	❌	❌	1
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression	❌	✅	❌	❌	❌	❌	✅	2
Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling	✅	❌	❌	❌	❌	❌	✅	2
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow	❌	✅	✅	✅	❌	❌	✅	4
Attacks on Online Learners: a Teacher-Student Analysis	✅	✅	✅	❌	✅	❌	✅	5
Attention as Implicit Structural Inference	✅	❌	❌	❌	❌	❌	✅	2
Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect	✅	✅	✅	✅	✅	❌	✅	6
AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation	❌	❌	✅	✅	❌	❌	✅	3
Auditing Fairness by Betting	✅	✅	✅	❌	❌	❌	❌	3
Auditing for Human Expertise	✅	✅	❌	❌	❌	❌	❌	2
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training	❌	✅	✅	❌	✅	❌	✅	4
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation	❌	✅	✅	✅	✅	✅	✅	6
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection	✅	❌	✅	❌	❌	❌	✅	3
Augmenting Language Models with Long-Term Memory	❌	✅	✅	✅	✅	❌	✅	5
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution	✅	✅	✅	✅	✅	✅	✅	7
Autodecoding Latent 3D Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Automated Classification of Model Errors on ImageNet	❌	✅	✅	✅	✅	❌	❌	4
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger	✅	✅	✅	✅	❌	✅	✅	6
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Automatic Integration for Spatiotemporal Neural Point Processes	✅	✅	✅	✅	❌	❌	✅	5
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings	✅	✅	❌	❌	✅	❌	✅	4
Auxiliary Losses for Learning Generalizable Concept-based Models	✅	✅	✅	✅	✅	❌	✅	6
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction	❌	❌	✅	✅	❌	❌	✅	3
BERT Lost Patience Won't Be Robust to Adversarial Slowdown	✅	✅	✅	✅	✅	✅	✅	7
BIOT: Biosignal Transformer for Cross-data Learning in the Wild	❌	✅	✅	✅	✅	✅	✅	6
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing	❌	✅	✅	❌	✅	❌	✅	4
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization	❌	✅	✅	❌	✅	❌	✅	4
Back-Modality: Leveraging Modal Transformation for Data Augmentation	❌	✅	✅	✅	✅	❌	✅	5
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking	❌	✅	✅	✅	✅	❌	✅	5
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective	❌	✅	✅	✅	✅	❌	✅	5
Balanced Training for Sparse GANs	✅	✅	✅	✅	❌	❌	✅	5
Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release	✅	❌	❌	❌	❌	❌	✅	2
Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces	❌	❌	❌	✅	✅	✅	❌	3
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance	❌	❌	✅	❌	❌	❌	✅	2
Bandit Social Learning under Myopic Behavior	✅	❌	❌	❌	❌	❌	❌	1
Bandit Task Assignment with Unknown Processing Time	✅	✅	❌	❌	❌	❌	✅	3
BanditPAM++: Faster $k$-medoids Clustering	✅	✅	✅	❌	❌	❌	✅	4
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis	❌	✅	✅	✅	✅	❌	✅	5
Batch Bayesian Optimization For Replicable Experimental Design	✅	❌	✅	❌	✅	❌	✅	4
Batchnorm Allows Unsupervised Radial Attacks	✅	✅	✅	❌	✅	✅	✅	6
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization	✅	✅	✅	✅	❌	❌	✅	5
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery	✅	❌	✅	✅	✅	❌	✅	5
BayesTune: Bayesian Sparse Deep Model Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Bayesian Active Causal Discovery with Multi-Fidelity Experiments	✅	❌	✅	❌	✅	✅	✅	5
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors	✅	❌	❌	❌	❌	❌	✅	2
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space	✅	❌	❌	❌	❌	❌	✅	2
Bayesian Learning via Q-Exponential Process	✅	✅	✅	❌	❌	❌	✅	4
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Bayesian Optimisation of Functions on Graphs	✅	❌	✅	✅	❌	❌	✅	4
Bayesian Optimization with Cost-varying Variable Subsets	✅	✅	✅	❌	✅	❌	✅	5
Bayesian Risk-Averse Q-Learning with Streaming Observations	✅	❌	❌	❌	❌	❌	✅	2
Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability	❌	✅	✅	✅	❌	❌	✅	4
Bayesian target optimisation for high-precision holographic optogenetics	✅	✅	❌	✅	✅	❌	✅	5
Behavior Alignment via Reward Function Optimization	✅	❌	✅	❌	✅	❌	✅	4
Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback	✅	❌	✅	❌	❌	❌	✅	3
Best Arm Identification with Fixed Budget: A Large Deviation Perspective	✅	❌	❌	❌	❌	❌	✅	2
Beta Diffusion	✅	✅	✅	❌	✅	✅	✅	6
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation	❌	✅	✅	❌	✅	❌	✅	4
Better Private Linear Regression Through Better Private Feature Selection	✅	✅	✅	❌	❌	❌	✅	4
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks	✅	✅	✅	❌	✅	✅	✅	6
Beyond Average Return in Markov Decision Processes	✅	❌	❌	❌	❌	❌	✅	2
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions	✅	❌	❌	❌	❌	❌	❌	1
Beyond Confidence: Reliable Models Should Also Consider Atypicality	❌	✅	✅	✅	✅	❌	✅	5
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift	❌	✅	✅	✅	✅	❌	✅	5
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence	✅	✅	✅	❌	✅	❌	✅	5
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis	❌	✅	✅	❌	✅	❌	✅	4
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations	❌	✅	✅	✅	✅	❌	✅	5
Beyond MLE: Convex Learning for Text Generation	❌	✅	✅	✅	✅	❌	✅	5
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends	❌	✅	✅	✅	❌	❌	✅	4
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time	❌	❌	❌	❌	❌	❌	❌	0
Beyond Normal: On the Evaluation of Mutual Information Estimators	❌	✅	❌	❌	❌	✅	✅	3
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense	❌	✅	✅	✅	❌	❌	✅	4
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets	✅	✅	✅	❌	✅	❌	✅	5
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation	✅	❌	✅	❌	✅	❌	✅	4
Beyond probability partitions: Calibrating neural networks with semantic aware grouping	✅	✅	✅	✅	❌	❌	✅	5
Bi-Level Offline Policy Optimization with Limited Exploration	✅	❌	✅	❌	❌	❌	✅	3
BiMatting: Efficient Video Matting via Binarization	❌	✅	✅	❌	✅	❌	✅	4
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization	✅	❌	✅	✅	❌	❌	✅	4
Bias in Evaluation Processes: An Optimization-Based Model	❌	✅	✅	✅	✅	❌	✅	5
Bicriteria Approximation Algorithms for the Submodular Cover Problem	✅	❌	✅	❌	❌	❌	✅	3
Bicriteria Multidimensional Mechanism Design with Side Information	✅	❌	❌	❌	❌	❌	❌	1
Bifurcations and loss jumps in RNN training	✅	✅	✅	❌	❌	❌	❌	3
Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm	✅	✅	✅	✅	❌	❌	✅	5
Binarized Neural Machine Translation	❌	✅	✅	❌	✅	❌	✅	4
Binarized Spectral Compressive Imaging	❌	✅	✅	❌	✅	❌	✅	4
Binary Classification with Confidence Difference	❌	❌	✅	✅	✅	❌	✅	4
Binary Radiance Fields	❌	❌	✅	❌	✅	❌	✅	3
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training	✅	✅	✅	❌	✅	✅	✅	6
Birth of a Transformer: A Memory Viewpoint	❌	✅	✅	❌	❌	❌	✅	3
Black-Box Differential Privacy for Interactive ML	✅	❌	❌	❌	❌	❌	❌	1
Black-box Backdoor Defense via Zero-shot Image Purification	✅	✅	✅	✅	✅	❌	✅	6
Block Broyden's Methods for Solving Nonlinear Equations	✅	❌	❌	❌	✅	❌	✅	3
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems	✅	✅	✅	✅	❌	❌	❌	4
Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization	✅	❌	✅	❌	✅	❌	✅	4
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games	✅	❌	✅	❌	❌	❌	✅	3
Block-State Transformers	✅	❌	✅	✅	✅	❌	✅	5
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints	✅	❌	❌	❌	❌	❌	✅	2
Blockwise Parallel Transformers for Large Context Models	✅	✅	✅	❌	✅	❌	✅	5
Blurred-Dilated Method for Adversarial Attacks	❌	❌	✅	❌	✅	❌	✅	3
Boosting Adversarial Transferability by Achieving Flat Local Maxima	✅	✅	✅	❌	✅	❌	✅	5
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance	✅	✅	❌	✅	✅	❌	✅	5
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning	✅	✅	✅	❌	✅	❌	✅	5
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks	✅	❌	✅	❌	✅	❌	❌	3
Boosting with Tempered Exponential Measures	✅	❌	✅	✅	❌	❌	✅	4
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences	✅	✅	✅	✅	✅	❌	✅	6
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training	❌	❌	✅	✅	✅	❌	✅	4
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff	❌	❌	❌	❌	❌	❌	✅	1
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces	✅	✅	✅	❌	✅	❌	✅	5
Boundary Guided Learning-Free Semantic Control with Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Bounded rationality in structured density estimation	❌	❌	❌	❌	✅	❌	✅	2
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information	❌	❌	✅	✅	✅	❌	✅	4
Bounding training data reconstruction in DP-SGD	✅	❌	✅	❌	✅	❌	✅	4
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models	❌	✅	✅	✅	✅	❌	✅	5
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images	❌	✅	✅	✅	✅	❌	✅	5
Brain encoding models based on multimodal transformers can transfer across language and vision	❌	❌	✅	✅	✅	❌	✅	4
Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment	✅	✅	✅	❌	❌	❌	✅	4
Brant: Foundation Model for Intracranial Neural Signal	❌	✅	✅	❌	✅	❌	✅	4
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback	✅	✅	❌	❌	✅	❌	✅	4
Break It Down: Evidence for Structural Compositionality in Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy	✅	❌	❌	❌	❌	❌	✅	2
Bridging Discrete and Backpropagation: Straight-Through and Beyond	✅	✅	✅	✅	✅	❌	✅	6
Bridging RL Theory and Practice with the Effective Horizon	✅	✅	✅	❌	✅	❌	✅	5
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models	❌	✅	✅	❌	❌	❌	✅	3
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs	❌	✅	✅	❌	✅	❌	✅	4
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders	❌	✅	✅	❌	✅	❌	✅	4
Budgeting Counterfactual for Offline RL	✅	❌	✅	❌	✅	✅	✅	5
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing	✅	❌	❌	❌	❌	❌	❌	1
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes	✅	✅	✅	✅	❌	❌	✅	5
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits	✅	❌	❌	❌	❌	❌	❌	1
Byzantine-Tolerant Methods for Distributed Variational Inequalities	✅	✅	✅	✅	❌	❌	✅	5
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder	✅	✅	✅	❌	✅	❌	❌	4
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society	❌	✅	✅	❌	❌	❌	✅	3
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models	✅	✅	✅	✅	✅	❌	✅	6
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes	✅	✅	✅	✅	✅	❌	✅	6
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation	✅	❌	✅	✅	✅	❌	✅	5
CAST: Cross-Attention in Space and Time for Video Action Recognition	❌	✅	✅	✅	✅	❌	✅	5
CAT-Walk: Inductive Hypergraph Learning via Set Walks	✅	✅	✅	✅	✅	✅	✅	7
CBD: A Certified Backdoor Detector Based on Local Dominant Probability	❌	❌	✅	✅	❌	❌	✅	3
CEIL: Generalized Contextual Imitation Learning	✅	✅	✅	❌	❌	❌	✅	4
CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer	❌	✅	✅	✅	❌	❌	✅	4
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation	❌	❌	❌	✅	❌	❌	❌	1
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments	✅	✅	✅	❌	✅	❌	✅	5
CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection	❌	❌	✅	❌	❌	❌	✅	2
CLadder: Assessing Causal Reasoning in Language Models	✅	✅	✅	❌	❌	❌	✅	4
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence	✅	✅	❌	❌	❌	❌	✅	3
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation	❌	❌	✅	❌	❌	❌	✅	2
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics	✅	✅	❌	❌	✅	❌	✅	4
CP-SLAM: Collaborative Neural Point-based SLAM System	❌	❌	✅	❌	✅	❌	✅	3
CQM: Curriculum Reinforcement Learning with a Quantized World Model	✅	❌	❌	❌	✅	❌	✅	3
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders	❌	✅	✅	✅	✅	❌	✅	5
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography	✅	✅	✅	❌	✅	❌	✅	5
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation	✅	✅	✅	✅	✅	✅	✅	7
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions	✅	❌	❌	❌	✅	✅	✅	4
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion	❌	✅	✅	✅	❌	❌	✅	4
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels	✅	✅	✅	❌	✅	❌	✅	5
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss	❌	❌	✅	✅	✅	❌	✅	4
CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes	❌	✅	❌	✅	❌	❌	✅	3
Cal-DETR: Calibrated Detection Transformer	❌	✅	✅	✅	❌	❌	✅	4
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning	✅	✅	✅	❌	✅	❌	✅	5
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs	❌	✅	✅	✅	❌	❌	✅	4
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents	✅	❌	❌	❌	❌	❌	❌	1
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability	✅	✅	✅	❌	❌	❌	✅	4
Calibrating “Cheap Signals” in Peer Review without a Prior	❌	❌	❌	❌	❌	❌	✅	1
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics	❌	✅	✅	✅	✅	❌	✅	5
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches	✅	❌	✅	✅	✅	❌	✅	5
Can Language Models Solve Graph Problems in Natural Language?	❌	✅	✅	❌	❌	❌	✅	3
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization	❌	✅	✅	✅	✅	❌	✅	5
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?	✅	❌	✅	❌	❌	❌	❌	2
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data	❌	✅	✅	❌	❌	❌	❌	2
Can semi-supervised learning use all the data effectively? A lower bound perspective	✅	❌	✅	✅	❌	❌	✅	4
Canonical normalizing flows for manifold learning	❌	✅	✅	❌	✅	❌	✅	4
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer	❌	✅	✅	❌	✅	❌	✅	4
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments	✅	❌	✅	❌	❌	❌	✅	3
Cascading Contextual Assortment Bandits	✅	❌	❌	❌	❌	❌	❌	1
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions	❌	❌	✅	✅	✅	✅	✅	5
Causal Component Analysis	❌	✅	❌	✅	✅	❌	✅	4
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness	❌	✅	✅	❌	❌	❌	✅	3
Causal Discovery from Subsampled Time Series with Proxy Variables	✅	✅	✅	❌	❌	❌	✅	4
Causal Discovery in Semi-Stationary Time Series	✅	✅	❌	❌	✅	❌	✅	4
Causal Effect Identification in Uncertain Causal Networks	✅	✅	✅	❌	✅	❌	✅	5
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations	❌	❌	✅	❌	✅	❌	✅	3
Causal Fairness for Outcome Control	✅	✅	✅	✅	❌	❌	✅	5
Causal Imitability Under Context-Specific Independence Relations	✅	✅	❌	❌	❌	❌	❌	2
Causal Interpretation of Self-Attention in Pre-Trained Transformers	✅	✅	✅	❌	❌	❌	❌	3
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data	✅	✅	❌	❌	❌	❌	✅	3
Causal discovery from observational and interventional data across multiple environments	✅	✅	❌	❌	❌	❌	❌	2
Causal normalizing flows: from theory to practice	✅	✅	✅	✅	✅	❌	✅	6
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing	✅	✅	✅	✅	✅	❌	✅	6
Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks	❌	✅	✅	❌	✅	✅	❌	4
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback	✅	✅	✅	❌	❌	❌	✅	4
Certifiably Robust Graph Contrastive Learning	✅	✅	✅	✅	✅	❌	❌	5
Certification of Distributional Individual Fairness	❌	✅	✅	❌	❌	❌	✅	3
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity	✅	❌	❌	❌	❌	❌	❌	1
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization	❌	✅	✅	❌	❌	❌	❌	2
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models	❌	❌	✅	❌	❌	❌	✅	2
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception	✅	✅	✅	❌	✅	❌	✅	5
Change point detection and inference in multivariate non-parametric models under mixing conditions	✅	❌	✅	❌	✅	✅	✅	5
Characteristic Circuits	✅	✅	✅	✅	❌	❌	✅	5
Characterization and Learning of Causal Graphs with Small Conditioning Sets	✅	✅	✅	❌	❌	❌	✅	4
Characterization of Overfitting in Robust Multiclass Classification	✅	❌	❌	❌	❌	❌	❌	1
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond	❌	✅	✅	✅	❌	❌	✅	4
Characterizing Out-of-Distribution Error via Optimal Transport	❌	✅	✅	✅	✅	❌	✅	5
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision	❌	✅	✅	✅	✅	❌	✅	5
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker	❌	✅	✅	❌	✅	✅	✅	5
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach	❌	✅	✅	❌	❌	❌	✅	3
ChatGPT-Powered Hierarchical Comparisons for Image Classification	✅	✅	✅	✅	✅	❌	✅	6
Chatting Makes Perfect: Chat-based Image Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models	❌	✅	✅	❌	✅	✅	✅	5
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity	❌	❌	✅	❌	✅	❌	✅	3
Circuit as Set of Points	❌	✅	✅	❌	✅	❌	✅	4
Class-Conditional Conformal Prediction with Many Classes	❌	✅	✅	✅	❌	❌	✅	4
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning	❌	✅	✅	✅	✅	❌	✅	5
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach	❌	❌	❌	❌	❌	❌	✅	1
Clifford Group Equivariant Neural Networks	❌	✅	✅	✅	✅	✅	❌	5
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits	✅	✅	❌	❌	❌	❌	❌	2
Closing the gap between the upper bound and lower bound of Adam's iteration complexity	✅	❌	✅	❌	❌	❌	✅	3
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection	❌	❌	✅	✅	❌	❌	✅	3
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering	❌	✅	✅	❌	✅	❌	✅	4
ClusterFomer: Clustering As A Universal Visual Learner	❌	❌	✅	✅	✅	❌	✅	4
Clustering the Sketch: Dynamic Compression for Embedding Tables	✅	✅	✅	✅	✅	❌	✅	6
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection	❌	✅	✅	✅	❌	❌	✅	4
CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection	❌	✅	✅	❌	❌	❌	✅	3
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift	✅	✅	✅	✅	❌	❌	✅	5
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra	✅	✅	✅	❌	✅	❌	✅	5
CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning	❌	❌	✅	❌	✅	❌	✅	3
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference	✅	❌	✅	❌	✅	❌	✅	4
Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation	❌	✅	✅	❌	✅	❌	✅	4
Cognitive Model Discovery via Disentangled RNNs	❌	❌	✅	✅	✅	✅	✅	5
Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections	❌	✅	✅	✅	✅	❌	✅	5
Coherent Soft Imitation Learning	✅	✅	✅	❌	✅	❌	✅	5
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise	✅	❌	✅	❌	❌	❌	✅	3
Collaborative Alignment of NLP Models	✅	❌	✅	❌	❌	❌	❌	2
Collaborative Learning via Prediction Consensus	✅	✅	✅	❌	✅	❌	✅	5
Collaborative Score Distillation for Consistent Visual Editing	❌	❌	✅	❌	✅	❌	✅	3
Collaboratively Learning Linear Models with Structured Missing Data	✅	✅	✅	❌	❌	❌	❌	3
Collapsed Inference for Bayesian Deep Learning	✅	✅	✅	✅	❌	❌	✅	5
Color Equivariant Convolutional Networks	❌	✅	✅	❌	✅	❌	✅	4
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation	❌	✅	✅	❌	✅	❌	✅	4
Combating Bilateral Edge Noise for Robust Link Prediction	✅	✅	✅	✅	✅	❌	✅	6
Combating Representation Learning Disparity with Geometric Harmonization	✅	✅	✅	❌	❌	❌	✅	4
Combinatorial Group Testing with Selfish Agents	✅	❌	❌	❌	❌	❌	❌	1
Combinatorial Optimization with Policy Adaptation using Latent Space Search	✅	✅	✅	✅	✅	✅	✅	7
Combining Behaviors with the Successor Features Keyboard	❌	❌	✅	❌	✅	❌	✅	3
Common Ground in Cooperative Communication	❌	❌	❌	❌	❌	❌	✅	1
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion	❌	✅	✅	❌	✅	❌	✅	4
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems	✅	❌	✅	✅	✅	❌	✅	5
Compact Neural Volumetric Video Representations with Dynamic Codebooks	❌	✅	✅	❌	✅	❌	✅	4
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions	✅	❌	✅	❌	✅	❌	✅	4
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions	❌	❌	❌	❌	❌	❌	❌	0
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift	❌	❌	✅	✅	✅	❌	✅	4
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints	✅	✅	✅	✅	✅	❌	✅	6
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent	❌	❌	❌	❌	❌	❌	✅	1
Complexity Matters: Rethinking the Latent Space for Generative Modeling	❌	❌	✅	✅	✅	❌	✅	4
Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control	✅	❌	✅	❌	✅	❌	✅	4
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal	✅	❌	✅	❌	❌	❌	❌	2
Composing Parameter-Efficient Modules with Arithmetic Operation	❌	✅	✅	✅	✅	❌	✅	5
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task	❌	❌	✅	❌	✅	❌	✅	3
Compositional Foundation Models for Hierarchical Planning	✅	✅	✅	❌	✅	❌	✅	5
Compositional Generalization from First Principles	❌	✅	✅	❌	✅	❌	✅	4
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees	✅	✅	❌	❌	❌	❌	❌	2
Compositional Sculpting of Iterative Generative Processes	✅	✅	✅	❌	✅	❌	✅	5
Compressed Video Prompt Tuning	❌	❌	✅	✅	✅	❌	✅	4
Compression with Bayesian Implicit Neural Representations	✅	✅	✅	❌	✅	❌	✅	5
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy	❌	❌	❌	❌	❌	❌	❌	0
Computational Guarantees for Doubly Entropic Wasserstein Barycenters	✅	✅	❌	❌	❌	❌	✅	3
Computing Approximate $\ell_p$ Sensitivities	✅	❌	✅	❌	❌	❌	❌	2
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games	✅	❌	✅	❌	❌	❌	✅	3
Computing Optimal Nash Equilibria in Multiplayer Games	✅	✅	✅	❌	✅	✅	✅	6
Computing a human-like reaction time metric from stable recurrent vision models	❌	✅	✅	✅	✅	❌	✅	5
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding	❌	❌	✅	✅	✅	❌	✅	4
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image	✅	❌	✅	❌	✅	❌	✅	4
Concept Algebra for (Score-Based) Text-Controlled Generative Models	✅	❌	❌	❌	❌	❌	✅	2
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement	✅	✅	✅	❌	✅	❌	❌	4
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference	❌	❌	✅	✅	✅	✅	✅	5
Conditional Matrix Flows for Gaussian Graphical Models	❌	✅	✅	✅	✅	❌	✅	5
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Conditional Score Guidance for Text-Driven Image-to-Image Translation	✅	✅	✅	❌	✅	❌	✅	5
Conditional independence testing under misspecified inductive biases	✅	✅	✅	✅	✅	❌	✅	6
Conditional score-based diffusion models for Bayesian inference in infinite dimensions	❌	✅	✅	❌	✅	❌	✅	4
Coneheads: Hierarchy Aware Attention	❌	❌	✅	❌	❌	❌	✅	2
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects	✅	✅	✅	✅	❌	❌	✅	5
Conformal PID Control for Time Series Prediction	❌	✅	✅	❌	❌	❌	✅	3
Conformal Prediction Sets for Ordinal Classification	❌	❌	✅	✅	❌	❌	✅	3
Conformal Prediction for Time Series with Modern Hopfield Networks	❌	✅	✅	✅	✅	✅	✅	6
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model	✅	❌	✅	✅	❌	❌	✅	4
Conformalized matrix completion	✅	✅	✅	✅	❌	❌	✅	5
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems	❌	❌	❌	❌	❌	❌	❌	0
Connecting Certified and Adversarial Training	✅	✅	✅	✅	✅	❌	✅	6
Connecting Multi-modal Contrastive Representations	❌	❌	✅	✅	❌	❌	✅	3
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation	❌	❌	✅	❌	❌	❌	✅	2
Conservative Offline Policy Adaptation in Multi-Agent Games	✅	❌	✅	❌	✅	❌	✅	4
Conservative State Value Estimation for Offline Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards	❌	❌	❌	❌	❌	❌	❌	0
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent	✅	✅	✅	✅	✅	❌	✅	6
Constant Approximation for Individual Preference Stable Clustering	✅	❌	✅	❌	❌	❌	✅	3
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning	✅	✅	✅	✅	❌	❌	❌	4
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing	✅	❌	✅	❌	❌	❌	✅	3
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars	✅	✅	✅	✅	✅	❌	✅	6
Content-based Unrestricted Adversarial Attack	✅	❌	✅	❌	✅	✅	✅	5
Context Shift Reduction for Offline Meta-Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features	❌	❌	✅	❌	❌	❌	✅	2
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes	✅	✅	✅	❌	✅	❌	✅	5
Context-lumpable stochastic bandits	✅	❌	❌	❌	❌	❌	❌	1
Contextual Bandits and Imitation Learning with Preference-Based Active Queries	✅	❌	❌	❌	❌	❌	❌	1
Contextual Gaussian Process Bandits with Neural Networks	✅	❌	❌	❌	❌	❌	❌	1
Contextual Stochastic Bilevel Optimization	✅	❌	✅	❌	❌	❌	✅	3
Contextually Affinitive Neighborhood Refinery for Deep Clustering	✅	✅	✅	❌	❌	❌	✅	4
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling	✅	✅	✅	✅	✅	❌	✅	6
ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion	❌	❌	❌	❌	✅	❌	✅	2
Continual Learning for Instruction Following from Realtime Feedback	✅	✅	✅	✅	✅	❌	✅	6
Continuous Parametric Optical Flow	❌	✅	❌	❌	✅	❌	✅	3
Continuous-Time Functional Diffusion Processes	❌	✅	✅	❌	❌	❌	✅	3
Continuous-time Analysis of Anchor Acceleration	❌	❌	✅	❌	❌	❌	✅	2
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series	❌	✅	✅	✅	✅	❌	✅	5
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities	✅	✅	✅	✅	✅	❌	✅	6
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion	❌	❌	✅	✅	✅	❌	✅	4
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time	✅	❌	❌	❌	❌	❌	✅	2
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL	✅	✅	✅	❌	✅	❌	✅	5
Contrastive Sampling Chains in Diffusion Models	❌	✅	✅	❌	✅	❌	❌	3
Contrastive Training of Complex-Valued Autoencoders for Object Discovery	✅	✅	✅	❌	✅	❌	✅	5
Controlling Text-to-Image Diffusion by Orthogonal Finetuning	❌	❌	✅	❌	✅	❌	✅	3
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data	✅	✅	✅	❌	❌	❌	✅	4
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels	❌	✅	❌	❌	❌	❌	❌	1
Convergence of Actor-Critic with Multi-Layer Neural Networks	✅	❌	❌	❌	❌	❌	❌	1
Convergence of Adam Under Relaxed Assumptions	✅	❌	✅	❌	❌	❌	✅	3
Convergence of Alternating Gradient Descent for Matrix Factorization	❌	❌	❌	❌	❌	❌	✅	1
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction	❌	❌	❌	❌	❌	❌	❌	0
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems	❌	❌	✅	❌	❌	❌	✅	2
Convex and Non-convex Optimization Under Generalized Smoothness	✅	❌	❌	❌	❌	❌	❌	1
Convex-Concave Zero-Sum Markov Stackelberg Games	✅	✅	❌	❌	❌	❌	✅	3
Convolution Monge Mapping Normalization for learning on sleep data	✅	✅	✅	✅	✅	❌	✅	6
Convolutional Neural Operators for robust and accurate learning of PDEs	❌	✅	✅	✅	❌	❌	❌	3
Convolutional State Space Models for Long-Range Spatiotemporal Modeling	✅	✅	✅	❌	✅	❌	✅	5
Convolutional Visual Prompt for Robust Visual Perception	✅	❌	✅	❌	❌	❌	✅	3
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP	❌	✅	✅	✅	✅	✅	✅	6
Cookie Consent Has Disparate Impact on Estimation Accuracy	✅	✅	❌	❌	✅	✅	✅	5
Coop: Memory is not a Commodity	✅	❌	❌	❌	✅	✅	✅	4
Coordinating Distributed Example Orders for Provably Accelerated Training	✅	✅	✅	❌	✅	❌	✅	5
Core-sets for Fair and Diverse Data Summarization	✅	✅	✅	❌	❌	❌	✅	4
Correlation Aware Sparsified Mean Estimation Using Random Projection	❌	✅	✅	❌	❌	❌	✅	3
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry	❌	✅	✅	❌	❌	❌	❌	2
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields	❌	❌	✅	✅	❌	❌	✅	3
Corruption-Robust Offline Reinforcement Learning with General Function Approximation	✅	❌	✅	❌	❌	❌	✅	3
CosNet: A Generalized Spectral Kernel Network	❌	❌	✅	❌	✅	✅	✅	4
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Counterfactual Evaluation of Peer-Review Assignment Policies	❌	✅	❌	✅	❌	❌	✅	3
Counterfactual Generation with Identifiability Guarantees	❌	❌	✅	✅	✅	✅	✅	5
Counterfactual Memorization in Neural Language Models	❌	❌	✅	❌	❌	✅	✅	3
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation	❌	✅	✅	❌	❌	❌	✅	3
Counterfactually Comparing Abstaining Classifiers	❌	✅	✅	❌	❌	❌	✅	3
Counterfactually Fair Representation	✅	✅	✅	✅	✅	✅	✅	7
Counting Distinct Elements Under Person-Level Differential Privacy	✅	❌	✅	❌	❌	❌	✅	3
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation	✅	❌	❌	❌	❌	❌	❌	1
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation	❌	❌	✅	✅	✅	❌	✅	4
Covariance-adaptive best arm identification	✅	❌	❌	❌	❌	❌	✅	2
Creating Multi-Level Skill Hierarchies in Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Creating a Public Repository for Joining Private Data	✅	❌	✅	❌	❌	❌	✅	3
Credal Marginal MAP	✅	✅	✅	❌	✅	❌	✅	5
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications	❌	✅	✅	❌	✅	❌	✅	4
Cross-Domain Policy Adaptation via Value-Guided Data Filtering	✅	❌	✅	❌	❌	❌	✅	3
Cross-Episodic Curriculum for Transformer Agents	❌	✅	✅	✅	✅	❌	✅	5
Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing	❌	✅	✅	❌	✅	❌	✅	4
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective	✅	✅	✅	✅	✅	❌	✅	6
Cross-modal Active Complementary Learning with Self-refining Correspondence	✅	✅	✅	✅	❌	❌	✅	5
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks	❌	✅	✅	❌	✅	❌	✅	4
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement	❌	✅	✅	✅	✅	✅	✅	6
Crystal Structure Prediction by Joint Equivariant Diffusion	✅	✅	✅	✅	✅	❌	✅	6
Curriculum Learning With Infant Egocentric Videos	❌	❌	✅	✅	❌	❌	✅	3
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First	✅	✅	✅	✅	✅	❌	✅	6
Curvature Filtrations for Graph Generative Model Evaluation	✅	✅	✅	❌	❌	❌	❌	3
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models	❌	✅	✅	✅	✅	❌	✅	5
Customizable Image Synthesis with Multiple Subjects	✅	✅	✅	❌	✅	❌	✅	5
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation	✅	✅	✅	❌	✅	❌	✅	5
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts	❌	❌	✅	❌	✅	❌	✅	3
D-CIPHER: Discovery of Closed-form Partial Differential Equations	✅	✅	❌	❌	✅	❌	✅	4
D-Separation for Causal Self-Explanation	❌	✅	✅	❌	✅	❌	✅	4
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion	✅	✅	✅	❌	❌	❌	✅	4
DAC-DETR: Divide the Attention Layers and Conquer	❌	✅	✅	✅	❌	❌	✅	4
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets	❌	✅	✅	✅	✅	❌	✅	5
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation	❌	✅	✅	✅	✅	❌	✅	5
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models	❌	❌	✅	✅	✅	❌	✅	4
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field	❌	✅	✅	✅	✅	❌	✅	5
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis	❌	✅	✅	❌	✅	❌	✅	4
DELTA: Diverse Client Sampling for Fasting Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries	✅	✅	✅	❌	✅	❌	✅	5
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning	✅	✅	✅	❌	❌	❌	✅	4
DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization	❌	✅	✅	❌	✅	❌	✅	4
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction	❌	✅	✅	✅	❌	❌	✅	4
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection	❌	✅	✅	✅	✅	❌	✅	5
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement	✅	✅	✅	✅	✅	❌	✅	6
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization	✅	❌	✅	❌	❌	❌	✅	3
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning	✅	✅	✅	❌	✅	❌	✅	5
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics	✅	✅	✅	❌	✅	❌	✅	5
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models	✅	✅	✅	❌	❌	❌	✅	4
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework	✅	✅	✅	✅	❌	❌	✅	5
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein	❌	✅	✅	❌	❌	❌	✅	3
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting	✅	✅	✅	✅	❌	❌	✅	5
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model	❌	❌	✅	✅	✅	❌	✅	4
Data Augmentations for Improved (Large) Language Model Generalization	✅	❌	✅	✅	❌	❌	✅	4
Data Market Design through Deep Learning	❌	✅	✅	❌	✅	❌	✅	4
Data Minimization at Inference Time	✅	❌	✅	✅	❌	❌	✅	4
Data Pruning via Moving-one-Sample-out	✅	✅	✅	❌	✅	❌	✅	5
Data Quality in Imitation Learning	❌	❌	✅	❌	❌	❌	✅	2
Data Selection for Language Models via Importance Resampling	❌	✅	✅	✅	✅	❌	✅	5
Data-Centric Learning from Unlabeled Graphs with Diffusion Model	✅	❌	✅	✅	❌	❌	✅	4
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness	✅	❌	❌	❌	❌	❌	❌	1
Data-Informed Geometric Space Selection	❌	❌	✅	✅	❌	❌	✅	3
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances	❌	✅	❌	❌	❌	❌	✅	2
Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation	❌	✅	✅	✅	✅	✅	✅	6
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents	❌	✅	✅	❌	✅	❌	✅	4
DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation	❌	❌	✅	✅	✅	❌	✅	4
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models	✅	✅	❌	❌	❌	❌	✅	3
Debiased and Denoised Entity Recognition from Distant Supervision	✅	❌	✅	✅	✅	❌	✅	5
Debiasing Conditional Stochastic Optimization	✅	❌	❌	❌	❌	❌	✅	2
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes	✅	✅	✅	❌	❌	✅	✅	5
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation	❌	✅	✅	❌	✅	✅	✅	5
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence	❌	❌	❌	❌	✅	❌	✅	2
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards	✅	❌	❌	❌	❌	❌	❌	1
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment	❌	✅	✅	✅	✅	✅	✅	6
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models	❌	✅	✅	❌	✅	❌	✅	4
Decision Tree for Locally Private Estimation with Public Data	✅	✅	✅	✅	✅	❌	✅	6
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees	✅	✅	✅	❌	❌	❌	✅	4
Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery	❌	❌	✅	✅	✅	❌	✅	4
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses	❌	✅	✅	❌	✅	❌	✅	4
Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild	❌	✅	✅	❌	✅	❌	✅	4
Deductive Verification of Chain-of-Thought Reasoning	❌	❌	✅	❌	✅	❌	✅	3
Deep Contract Design via Discontinuous Networks	✅	❌	❌	❌	✅	❌	✅	3
Deep Equilibrium Based Neural Operators for Steady-State PDEs	❌	❌	✅	❌	✅	❌	✅	3
Deep Fractional Fourier Transform	❌	✅	✅	❌	❌	❌	❌	2
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems	❌	❌	✅	✅	✅	❌	✅	4
Deep Insights into Noisy Pseudo Labeling on Graph Data	✅	✅	✅	✅	❌	❌	❌	4
Deep Momentum Multi-Marginal Schrödinger Bridge	✅	❌	✅	❌	✅	❌	✅	4
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model	❌	❌	✅	❌	❌	❌	✅	2
Deep Non-line-of-sight Imaging from Under-scanning Measurements	❌	✅	✅	❌	✅	❌	✅	4
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration	❌	✅	✅	✅	❌	❌	✅	4
Deep Patch Visual Odometry	❌	✅	✅	✅	✅	❌	✅	5
Deep Recurrent Optimal Stopping	✅	❌	✅	✅	✅	❌	✅	5
Deep Reinforcement Learning with Plasticity Injection	❌	❌	✅	❌	✅	❌	✅	3
Deep Stochastic Processes via Functional Markov Transition Operators	❌	✅	✅	✅	✅	❌	✅	5
Deep learning with kernels through RKHM and the Perron-Frobenius operator	❌	❌	✅	❌	✅	✅	✅	4
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization	✅	✅	✅	❌	✅	❌	✅	5
DeepPCR: Parallelizing Sequential Operations in Neural Networks	✅	❌	✅	❌	✅	❌	✅	4
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation	❌	✅	✅	✅	✅	❌	✅	5
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks	✅	✅	✅	✅	❌	❌	✅	5
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training	✅	❌	✅	✅	✅	❌	✅	5
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization	✅	❌	✅	❌	✅	❌	✅	4
Delegated Classification	❌	✅	✅	✅	✅	❌	✅	5
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought	✅	✅	✅	❌	❌	❌	✅	4
Demographic Parity Constrained Minimax Optimal Regression under Linear Model	✅	❌	❌	❌	❌	❌	❌	1
Demystifying Oversmoothing in Attention-Based Graph Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
Demystifying Softmax Gating Function in Gaussian Mixture of Experts	❌	❌	❌	❌	❌	❌	✅	1
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?	✅	✅	✅	✅	✅	✅	✅	7
Demystifying the Optimal Performance of Multi-Class Classification	❌	❌	✅	❌	❌	❌	✅	2
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models	❌	❌	✅	❌	✅	❌	✅	3
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel	❌	❌	✅	✅	✅	❌	✅	4
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer	✅	✅	✅	✅	❌	❌	✅	5
Depth-discriminative Metric Learning for Monocular 3D Object Detection	✅	❌	✅	✅	❌	❌	✅	4
Derandomized novelty detection with FDR control via conformal e-values	✅	✅	✅	✅	❌	❌	✅	5
DesCo: Learning Object Recognition with Rich Language Descriptions	✅	✅	✅	❌	✅	❌	✅	5
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents	❌	✅	✅	❌	❌	❌	✅	3
Described Object Detection: Liberating Object Detection with Flexible Expressions	❌	✅	✅	❌	❌	❌	❌	2
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization	✅	✅	✅	✅	✅	❌	✅	6
Designing Robust Transformers using Robust Kernel Density Estimation	✅	❌	✅	✅	✅	❌	✅	5
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Detecting hidden confounding in observational data using multiple environments	✅	✅	✅	❌	❌	❌	✅	4
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image	✅	❌	✅	✅	✅	❌	✅	5
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation	❌	❌	✅	✅	❌	❌	✅	3
DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization	❌	❌	✅	❌	✅	❌	✅	3
Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models	✅	✅	✅	❌	✅	✅	✅	6
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification	✅	✅	✅	❌	✅	❌	✅	5
DiffComplete: Diffusion-based Generative 3D Shape Completion	❌	❌	✅	✅	✅	❌	✅	4
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation	✅	❌	✅	❌	❌	❌	✅	3
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing	✅	✅	✅	✅	✅	❌	✅	6
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models	❌	✅	✅	❌	❌	❌	✅	3
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model	✅	✅	✅	❌	✅	❌	✅	5
DiffUTE: Universal Text Editing Diffusion Model	❌	✅	✅	❌	❌	❌	✅	3
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics	❌	❌	❌	❌	✅	❌	✅	2
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives	❌	✅	✅	❌	✅	❌	✅	4
Differentiable Clustering with Perturbed Spanning Forests	❌	✅	✅	✅	✅	✅	✅	6
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs	❌	❌	✅	✅	✅	❌	❌	3
Differentiable Random Partition Models	❌	✅	✅	❌	✅	❌	✅	4
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching	❌	✅	✅	❌	✅	❌	✅	4
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick	❌	✅	✅	✅	❌	❌	✅	4
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes	❌	❌	✅	✅	❌	❌	✅	3
Differentiable sorting for censored time-to-event data.	❌	✅	✅	✅	✅	❌	✅	5
Differentially Private Approximate Near Neighbor Counting in High Dimensions	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection	✅	✅	✅	❌	✅	❌	✅	5
Differentially Private Image Classification by Learning Priors from Random Processes	❌	✅	✅	✅	✅	❌	✅	5
Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling	❌	✅	✅	❌	✅	❌	✅	4
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models	✅	❌	❌	❌	✅	❌	✅	3
Diffused Redundancy in Pre-trained Representations	❌	✅	✅	❌	❌	❌	✅	3
Diffused Task-Agnostic Milestone Planner	✅	❌	✅	❌	✅	❌	✅	4
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence	❌	✅	✅	✅	❌	❌	✅	4
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels	✅	✅	✅	✅	❌	❌	✅	5
Diffusion Probabilistic Models for Structured Node Classification	✅	❌	✅	✅	✅	❌	✅	5
Diffusion Representation for Asymmetric Kernels via Magnetic Transform	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Schrödinger Bridge Matching	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Self-Guidance for Controllable Image Generation	❌	❌	❌	❌	❌	❌	✅	1
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision	❌	❌	✅	❌	❌	❌	❌	1
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability	✅	✅	✅	❌	✅	❌	✅	5
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation	✅	✅	✅	❌	✅	❌	✅	5
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	✅	✅	✅	✅	❌	❌	✅	5
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback	✅	✅	✅	❌	✅	✅	✅	6
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Direct Diffusion Bridge using Data Consistency for Inverse Problems	✅	✅	✅	✅	❌	❌	✅	5
Direct Preference Optimization: Your Language Model is Secretly a Reward Model	❌	❌	✅	❌	❌	❌	✅	2
Direct Preference-based Policy Optimization without Reward Modeling	✅	✅	✅	✅	✅	❌	✅	6
Direct Training of SNN using Local Zeroth Order Method	✅	✅	✅	❌	❌	❌	✅	4
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data	❌	❌	✅	❌	❌	❌	✅	2
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms	✅	✅	✅	❌	✅	❌	✅	5
Directional diffusion models for graph representation learning	❌	✅	✅	❌	❌	❌	✅	3
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity	❌	✅	✅	✅	✅	✅	✅	6
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models	✅	✅	✅	❌	❌	❌	✅	4
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning	✅	✅	✅	❌	✅	❌	✅	5
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning	❌	✅	✅	❌	❌	❌	✅	3
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design	✅	✅	✅	❌	✅	❌	✅	5
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning	✅	✅	✅	❌	❌	❌	✅	4
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions	❌	❌	✅	❌	❌	❌	✅	2
Discrete-Smoothness in Online Algorithms with Predictions	✅	❌	❌	❌	✅	❌	✅	3
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier	✅	✅	✅	✅	❌	❌	✅	5
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability	✅	✅	✅	✅	✅	❌	✅	6
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering	❌	❌	✅	✅	✅	❌	✅	4
Disentanglement via Latent Quantization	✅	✅	✅	❌	❌	❌	✅	4
Disentangling Cognitive Diagnosis with Limited Exercise Labels	✅	✅	✅	✅	✅	✅	✅	7
Disentangling Voice and Content with Self-Supervision for Speaker Recognition	❌	❌	✅	✅	❌	❌	✅	3
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning	❌	✅	❌	❌	❌	❌	✅	2
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power	❌	✅	✅	✅	❌	❌	✅	4
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models	❌	✅	✅	❌	✅	❌	✅	4
Distributed Inference and Fine-tuning of Large Language Models Over The Internet	✅	✅	✅	❌	✅	❌	✅	5
Distributed Personalized Empirical Risk Minimization	✅	❌	✅	❌	❌	❌	✅	3
Distribution Learnability and Robustness	❌	❌	❌	❌	❌	❌	❌	0
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods	✅	✅	✅	✅	❌	❌	✅	5
Distribution-Free Statistical Dispersion Control for Societal Applications	❌	❌	✅	✅	❌	❌	✅	3
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation	✅	✅	✅	❌	✅	❌	✅	5
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning	❌	✅	✅	❌	✅	❌	❌	3
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning	✅	✅	✅	❌	❌	✅	✅	5
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning	✅	❌	❌	❌	❌	❌	✅	2
Distributionally Robust Bayesian Optimization with $\varphi$-divergences	✅	❌	✅	❌	❌	❌	✅	3
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training	❌	✅	✅	✅	✅	✅	✅	6
Distributionally Robust Linear Quadratic Control	✅	✅	❌	❌	✅	❌	✅	4
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks	✅	✅	✅	❌	✅	❌	✅	5
Diverse Conventions for Human-AI Collaboration	✅	✅	✅	❌	✅	❌	✅	5
Diverse Shape Completion via Style Modulated Generative Adversarial Networks	❌	❌	✅	❌	✅	❌	✅	3
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation	✅	✅	✅	❌	✅	✅	✅	6
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation	❌	✅	✅	✅	✅	✅	✅	6
Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement	✅	❌	✅	❌	✅	❌	✅	4
Diversifying Spatial-Temporal Perception for Video Domain Generalization	❌	✅	✅	✅	✅	❌	✅	5
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback	❌	❌	✅	❌	❌	❌	❌	1
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration	❌	✅	✅	✅	✅	❌	✅	5
Do Not Marginalize Mechanisms, Rather Consolidate!	✅	❌	❌	❌	❌	❌	✅	2
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning	❌	❌	✅	✅	❌	❌	✅	3
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining	✅	✅	✅	❌	✅	❌	✅	5
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method	✅	✅	✅	❌	✅	❌	✅	5
Does Graph Distillation See Like Vision Dataset Counterpart?	✅	✅	✅	✅	✅	✅	✅	7
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?	✅	✅	✅	✅	✅	❌	✅	6
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models	❌	✅	✅	❌	✅	❌	✅	4
Does Visual Pretraining Help End-to-End Reasoning?	❌	❌	✅	✅	✅	❌	✅	4
Does a sparse ReLU network training problem always admit an optimum ?	❌	✅	❌	❌	❌	❌	✅	2
Domain Adaptive Imitation Learning with Visual Observation	✅	❌	❌	❌	✅	✅	✅	4
Domain Agnostic Fourier Neural Operators	❌	✅	✅	✅	❌	❌	✅	4
Domain Re-Modulation for Few-Shot Generative Domain Adaptation	❌	✅	✅	❌	❌	❌	✅	3
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand	❌	✅	✅	✅	❌	❌	✅	4
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models	❌	❌	✅	❌	❌	❌	❌	1
Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner	❌	✅	✅	✅	✅	❌	✅	5
Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy	❌	❌	✅	✅	✅	❌	✅	4
Don’t just prune by magnitude! Your mask topology is a secret weapon	✅	✅	✅	✅	❌	❌	✅	5
Double Auctions with Two-sided Bandit Feedback	❌	❌	❌	❌	❌	❌	✅	1
Double Gumbel Q-Learning	✅	✅	✅	❌	✅	✅	✅	6
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage	✅	❌	❌	❌	❌	❌	❌	1
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee	✅	❌	✅	❌	❌	❌	❌	2
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control	❌	✅	✅	✅	❌	❌	✅	4
Doubly Constrained Fair Clustering	✅	❌	✅	❌	✅	✅	✅	5
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Doubly-Robust Self-Training	❌	✅	✅	✅	✅	❌	✅	5
Dream the Impossible: Outlier Imagination with Diffusion Models	✅	✅	✅	❌	✅	✅	✅	6
DreamHuman: Animatable 3D Avatars from Text	❌	❌	✅	❌	❌	❌	❌	1
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data	❌	❌	✅	✅	✅	❌	✅	4
DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views	❌	❌	✅	✅	✅	✅	✅	5
DreamWaltz: Make a Scene with Complex 3D Animatable Avatars	❌	❌	✅	❌	✅	❌	✅	3
Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection	❌	✅	✅	✅	✅	✅	✅	6
DropCompute: simple and more robust distributed synchronous training via compute variance reduction	✅	✅	✅	✅	✅	❌	✅	6
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions	✅	✅	✅	✅	✅	❌	✅	6
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening	❌	✅	✅	✅	✅	❌	✅	5
Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization	✅	✅	✅	✅	❌	❌	✅	5
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL	✅	❌	✅	❌	✅	❌	✅	4
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets	✅	✅	✅	❌	✅	❌	✅	5
DynPoint: Dynamic Neural Point For View Synthesis	❌	❌	✅	❌	❌	❌	✅	2
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers	❌	✅	✅	❌	✅	❌	✅	4
Dynamic Non-monotone Submodular Maximization	✅	❌	✅	❌	✅	❌	❌	3
Dynamic Personalized Federated Learning with Adaptive Differential Privacy	✅	✅	✅	❌	✅	❌	✅	5
Dynamic Pricing and Learning with Bayesian Persuasion	✅	❌	❌	❌	❌	❌	❌	1
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing	✅	❌	✅	✅	✅	❌	✅	5
Dynamic Regret of Adversarial Linear Mixture MDPs	✅	❌	❌	❌	❌	❌	❌	1
Dynamic Sparsity Is Channel-Level Sparsity Learner	✅	✅	✅	✅	✅	❌	✅	6
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes	❌	✅	✅	❌	✅	❌	✅	4
Dynamically Masked Discriminator for GANs	✅	✅	✅	❌	✅	❌	✅	5
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies	✅	✅	❌	❌	✅	❌	✅	4
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes	❌	✅	✅	✅	✅	❌	✅	5
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation	❌	✅	✅	❌	❌	❌	✅	3
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning	❌	❌	✅	✅	✅	❌	✅	4
EDGI: Equivariant Diffusion for Planning with Embodied Agents	❌	❌	❌	❌	❌	❌	❌	0
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks	❌	❌	✅	❌	✅	❌	❌	2
ELDEN: Exploration via Local Dependencies	✅	❌	✅	❌	✅	❌	✅	4
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning	✅	✅	✅	✅	❌	❌	✅	5
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy	❌	✅	✅	✅	✅	❌	✅	5
Easy Learning from Label Proportions	✅	❌	✅	❌	❌	❌	✅	3
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion	❌	✅	✅	✅	✅	❌	✅	5
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes	❌	✅	✅	❌	❌	❌	❌	2
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding	✅	✅	✅	❌	✅	❌	✅	5
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data	❌	❌	✅	❌	✅	❌	✅	3
Effective Targeted Attacks for Adversarial Self-Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning	✅	❌	✅	✅	❌	❌	✅	4
Efficient Activation Function Optimization through Surrogate Modeling	❌	✅	✅	✅	✅	❌	✅	5
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing	❌	✅	✅	✅	✅	❌	✅	5
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection	✅	✅	✅	✅	✅	✅	✅	7
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards	✅	❌	❌	❌	✅	✅	✅	4
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination	✅	❌	❌	❌	❌	❌	❌	1
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks	❌	✅	✅	❌	✅	❌	✅	4
Efficient Beam Tree Recursion	✅	✅	✅	✅	✅	❌	✅	6
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks	✅	✅	✅	✅	❌	❌	✅	5
Efficient Diffusion Policies For Offline Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Efficient Equivariant Transfer Learning from Pretrained Models	❌	✅	✅	✅	✅	❌	✅	5
Efficient Exploration in Continuous-time Model-based Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Efficient Hyper-parameter Optimization with Cubic Regularization	✅	❌	✅	✅	✅	❌	✅	5
Efficient Learning of Linear Graph Neural Networks via Node Subsampling	✅	✅	✅	❌	✅	❌	✅	5
Efficient Low-rank Backpropagation for Vision Transformer Adaptation	✅	✅	✅	❌	✅	✅	✅	6
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization	✅	✅	✅	❌	✅	❌	✅	5
Efficient Model-Free Exploration in Low-Rank MDPs	✅	❌	❌	❌	❌	❌	❌	1
Efficient Neural Music Generation	❌	❌	❌	❌	✅	❌	✅	2
Efficient Online Clustering with Moving Costs	✅	❌	✅	❌	❌	❌	✅	3
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents	✅	❌	✅	❌	❌	❌	✅	3
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric	✅	✅	✅	❌	❌	❌	✅	4
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations	✅	❌	❌	❌	❌	❌	❌	1
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs	❌	✅	✅	❌	❌	❌	✅	3
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models	❌	❌	❌	❌	❌	❌	❌	0
Efficient Subgame Refinement for Extensive-form Games	✅	❌	❌	❌	✅	❌	✅	3
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression	✅	❌	✅	✅	✅	❌	✅	5
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction	✅	✅	✅	✅	✅	❌	✅	6
Efficient Testable Learning of Halfspaces with Adversarial Label Noise	✅	❌	❌	❌	❌	❌	❌	1
Efficient Training of Energy-Based Models Using Jarzynski Equality	✅	✅	✅	❌	✅	❌	✅	5
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
Efficiently incorporating quintuple interactions into geometric deep learning force fields	❌	✅	✅	✅	❌	❌	❌	3
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding	❌	❌	✅	✅	✅	❌	✅	4
EgoEnv: Human-centric environment representations from egocentric video	❌	❌	✅	❌	❌	❌	✅	2
Egocentric Planning for Scalable Embodied Task Achievement	✅	❌	✅	✅	✅	❌	✅	5
Elastic Decision Transformer	✅	❌	✅	❌	✅	❌	✅	4
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback	✅	❌	❌	❌	❌	❌	❌	1
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization	✅	✅	✅	❌	✅	❌	✅	5
Eliminating Domain Bias for Federated Learning in Representation Space	✅	✅	✅	❌	✅	❌	✅	5
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples	❌	❌	✅	❌	✅	❌	✅	3
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought	❌	✅	✅	❌	❌	❌	✅	3
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows	❌	❌	✅	❌	✅	❌	✅	3
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification	✅	❌	✅	❌	✅	❌	✅	4
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity	❌	✅	✅	✅	❌	❌	✅	4
Emergent Communication for Rules Reasoning	✅	✅	✅	✅	❌	❌	✅	5
Emergent Communication in Interactive Sketch Question Answering	❌	✅	✅	❌	❌	❌	❌	2
Emergent Correspondence from Image Diffusion	❌	✅	✅	❌	✅	❌	✅	4
Emergent and Predictable Memorization in Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss	✅	✅	✅	✅	✅	❌	✅	6
Empowering Convolutional Neural Nets with MetaSin Activation	❌	❌	✅	✅	✅	❌	✅	4
Encoding Human Behavior in Information Design through Deep Learning	❌	✅	❌	✅	✅	❌	✅	4
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency	✅	✅	✅	✅	✅	✅	✅	7
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics	❌	❌	❌	✅	✅	✅	✅	4
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes	✅	❌	✅	✅	❌	❌	❌	3
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models	✅	✅	✅	✅	✅	❌	✅	6
Energy Guided Diffusion for Generating Neurally Exciting Images	❌	✅	✅	❌	✅	❌	✅	4
Energy Transformer	✅	✅	✅	✅	❌	❌	✅	5
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach	✅	✅	✅	✅	✅	❌	✅	6
Energy-Based Sliced Wasserstein Distance	✅	✅	✅	❌	✅	❌	✅	5
Energy-Efficient Scheduling with Predictions	✅	❌	✅	❌	❌	❌	✅	3
Energy-based learning algorithms for analog computing: a comparative study	❌	✅	✅	❌	✅	✅	✅	5
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization	✅	✅	✅	❌	✅	✅	✅	6
Enhancing Adversarial Robustness via Score-Based Optimization	✅	✅	✅	✅	✅	❌	✅	6
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning	❌	✅	✅	✅	❌	❌	✅	4
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork	✅	✅	✅	❌	❌	❌	✅	4
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams	❌	❌	✅	❌	❌	❌	✅	2
Enhancing Robot Program Synthesis Through Environmental Context	❌	❌	❌	✅	❌	❌	❌	1
Enhancing Sharpness-Aware Optimization Through Variance Suppression	✅	✅	✅	✅	✅	❌	✅	6
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns	❌	✅	✅	✅	✅	❌	✅	5
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift	❌	❌	❌	❌	✅	❌	✅	2
Entropic Neural Optimal Transport via Diffusion Processes	✅	✅	✅	❌	✅	❌	✅	5
Entropy-based Training Methods for Scalable Neural Implicit Samplers	✅	❌	✅	✅	✅	✅	✅	6
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs	❌	❌	❌	❌	❌	❌	✅	1
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization	✅	✅	✅	✅	✅	✅	✅	7
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication	✅	✅	✅	❌	✅	✅	✅	6
Episodic Multi-Task Learning with Heterogeneous Neural Processes	✅	✅	✅	❌	❌	❌	✅	4
Epistemic Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Equal Opportunity of Coverage in Fair Regression	✅	✅	✅	✅	❌	❌	✅	5
Equivariant Adaptation of Large Pretrained Models	❌	✅	✅	❌	❌	❌	✅	3
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation	✅	✅	✅	✅	❌	❌	✅	5
Equivariant Neural Operator Learning with Graphon Convolution	❌	✅	✅	✅	✅	❌	✅	5
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics	❌	✅	❌	✅	✅	❌	✅	4
Equivariant Single View Pose Prediction Via Induced and Restriction Representations	❌	❌	✅	✅	✅	❌	✅	4
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics	✅	✅	✅	✅	❌	❌	✅	5
Equivariant flow matching	❌	❌	✅	❌	✅	❌	✅	3
Error Bounds for Learning with Vector-Valued Random Features	❌	✅	✅	❌	❌	❌	✅	3
Error Discovery By Clustering Influence Embeddings	✅	✅	✅	❌	❌	❌	✅	4
Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation	❌	❌	❌	❌	❌	❌	✅	1
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations	✅	✅	❌	❌	❌	❌	❌	2
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments	✅	❌	✅	✅	❌	❌	❌	3
Estimating Koopman operators with sketching to provably learn large scale dynamical systems	❌	✅	✅	✅	❌	❌	✅	4
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes	❌	✅	✅	✅	❌	❌	✅	4
Estimating Propensity for Causality-based Recommendation without Exposure Data	✅	❌	✅	✅	✅	✅	✅	6
Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance	❌	❌	✅	❌	❌	❌	❌	1
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors	❌	✅	✅	❌	❌	❌	✅	3
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent	✅	✅	✅	❌	✅	❌	✅	5
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval	❌	✅	❌	❌	❌	❌	✅	2
Evaluating Neuron Interpretation Methods of NLP Models	❌	✅	✅	✅	❌	❌	✅	4
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis	✅	✅	✅	✅	✅	✅	✅	7
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts	❌	✅	✅	✅	❌	❌	✅	4
Evaluating and Inducing Personality in Pre-trained Language Models	❌	❌	✅	❌	✅	❌	✅	3
Evaluating the Moral Beliefs Encoded in LLMs	❌	✅	✅	❌	❌	❌	✅	3
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance	❌	✅	✅	✅	✅	✅	✅	6
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction	✅	❌	✅	❌	❌	❌	✅	3
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning	✅	❌	✅	✅	❌	❌	✅	4
EvoPrompting: Language Models for Code-Level Neural Architecture Search	✅	✅	✅	✅	✅	❌	✅	6
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing	✅	✅	✅	✅	✅	❌	✅	6
Evolving Connectivity for Recurrent Spiking Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Evolving Standardization for Continual Domain Generalization over Temporal Drift	✅	✅	✅	✅	✅	❌	✅	6
ExPT: Synthetic Pretraining for Few-Shot Experimental Design	❌	✅	✅	❌	❌	❌	✅	3
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach	❌	✅	✅	❌	✅	❌	✅	4
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models	❌	❌	❌	❌	❌	❌	❌	0
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation	✅	✅	❌	❌	❌	❌	✅	3
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings	✅	✅	✅	❌	❌	❌	✅	4
Exact Verification of ReLU Neural Control Barrier Functions	❌	✅	❌	❌	✅	❌	✅	3
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model	✅	❌	✅	❌	❌	❌	✅	3
Expanding Small-Scale Datasets with Guided Imagination	✅	✅	✅	❌	✅	❌	✅	5
Experiment Planning with Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
Experimental Designs for Heteroskedastic Variance	✅	❌	❌	❌	❌	❌	✅	2
Expert load matters: operating networks at high accuracy and low manual effort	❌	✅	✅	✅	✅	❌	✅	5
Explain Any Concept: Segment Anything Meets Concept-Based Explanation	❌	✅	✅	✅	❌	❌	✅	4
Explainable Brain Age Prediction using coVariance Neural Networks	❌	✅	✅	✅	❌	✅	✅	5
Explainable and Efficient Randomized Voting Rules	❌	❌	❌	❌	❌	❌	✅	1
Explaining Predictive Uncertainty with Information Theoretic Shapley Values	❌	✅	✅	✅	❌	❌	✅	4
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture	❌	✅	✅	✅	✅	❌	✅	5
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models	✅	✅	✅	❌	✅	❌	✅	5
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models	❌	✅	✅	❌	❌	❌	✅	3
Exploiting Contextual Objects and Relations for 3D Visual Grounding	❌	✅	✅	✅	❌	❌	✅	4
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits	✅	❌	❌	❌	❌	❌	✅	2
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium	❌	❌	❌	❌	❌	❌	✅	1
Explore In-Context Learning for 3D Point Cloud Understanding	❌	✅	✅	❌	✅	❌	✅	4
Explore to Generalize in Zero-Shot RL	✅	✅	✅	❌	❌	❌	✅	4
Exploring Diverse In-Context Configurations for Image Captioning	❌	✅	✅	✅	✅	❌	✅	5
Exploring Geometry of Blind Spots in Vision models	✅	✅	✅	❌	✅	❌	✅	5
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks	✅	✅	✅	❌	✅	❌	❌	4
Exploring Question Decomposition for Zero-Shot VQA	✅	❌	✅	✅	✅	❌	✅	5
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models	✅	✅	✅	❌	❌	✅	✅	5
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations	❌	✅	✅	❌	❌	❌	✅	3
Exponential Lower Bounds for Fictitious Play in Potential Games	❌	❌	❌	❌	❌	❌	❌	0
Exponentially Convergent Algorithms for Supervised Matrix Factorization	✅	✅	✅	✅	❌	❌	✅	5
Exposing Attention Glitches with Flip-Flop Language Modeling	❌	❌	✅	❌	✅	❌	✅	3
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models	❌	✅	✅	❌	✅	❌	✅	4
Expressive Sign Equivariant Networks for Spectral Geometric Learning	❌	❌	✅	✅	✅	❌	✅	4
Expressive probabilistic sampling in recurrent neural networks	✅	✅	✅	❌	✅	❌	✅	5
Expressivity-Preserving GNN Simulation	✅	✅	✅	✅	✅	❌	✅	6
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman	❌	✅	✅	✅	✅	❌	✅	5
Extensible Prompts for Language Models on Zero-shot Language Style Customization	❌	❌	✅	✅	✅	❌	✅	4
Extracting Reward Functions from Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Extremal Domain Translation with Neural Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
FABind: Fast and Accurate Protein-Ligand Binding	❌	✅	✅	✅	✅	❌	✅	5
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy	❌	✅	✅	❌	✅	✅	✅	5
FAMO: Fast Adaptive Multitask Optimization	✅	✅	✅	✅	❌	❌	❌	4
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation	❌	❌	✅	✅	❌	❌	✅	3
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning	❌	✅	✅	✅	❌	❌	✅	4
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation	❌	❌	✅	✅	✅	❌	✅	4
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression	✅	❌	✅	❌	❌	❌	✅	3
FLSL: Feature-level Self-supervised Learning	✅	✅	✅	❌	✅	❌	✅	5
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout	✅	✅	✅	❌	✅	✅	✅	6
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space	❌	✅	✅	✅	✅	✅	✅	6
Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network	❌	✅	✅	✅	✅	✅	✅	6
FaceComposer: A Unified Model for Versatile Facial Content Creation	❌	❌	✅	❌	❌	❌	✅	2
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes	❌	✅	✅	✅	✅	❌	✅	5
Facing Off World Model Backbones: RNNs, Transformers, and S4	✅	❌	❌	✅	✅	❌	✅	4
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy	✅	✅	✅	❌	✅	❌	✅	5
Failure-Aware Gaussian Process Optimization with Regret Bounds	✅	❌	✅	❌	❌	❌	✅	3
Fair Adaptive Experiments	✅	❌	❌	❌	❌	❌	✅	2
Fair Allocation of Indivisible Chores: Beyond Additive Costs	✅	❌	❌	❌	❌	❌	❌	1
Fair Canonical Correlation Analysis	✅	✅	✅	❌	✅	❌	✅	5
Fair Graph Distillation	✅	❌	✅	❌	✅	❌	✅	4
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint	✅	✅	✅	✅	✅	❌	✅	6
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering	✅	✅	✅	❌	❌	❌	✅	4
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information	✅	✅	✅	✅	✅	❌	✅	6
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach	✅	✅	✅	✅	❌	❌	✅	5
Fairness Aware Counterfactuals for Subgroups	❌	✅	✅	❌	✅	❌	✅	4
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments	✅	❌	✅	✅	❌	❌	❌	3
Fairness-guided Few-shot Prompting for Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Faith and Fate: Limits of Transformers on Compositionality	✅	✅	✅	✅	❌	❌	✅	5
False Discovery Proportion control for aggregated Knockoffs	✅	✅	✅	❌	❌	❌	✅	4
Fantastic Robustness Measures: The Secrets of Robust Generalization	❌	✅	✅	❌	❌	❌	✅	3
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training	❌	✅	✅	✅	✅	❌	✅	5
Fast Approximation of Similarity Graphs with Kernel Density Estimation	✅	✅	✅	❌	✅	❌	✅	5
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits	✅	✅	✅	❌	❌	❌	✅	4
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention	✅	✅	✅	❌	✅	✅	✅	6
Fast Attention Requires Bounded Entries	✅	❌	❌	❌	❌	❌	❌	1
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs	✅	✅	✅	❌	✅	✅	✅	6
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions	✅	❌	❌	❌	❌	❌	✅	2
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition	✅	✅	✅	✅	✅	✅	✅	7
Fast Model DeBias with Machine Unlearning	✅	❌	✅	✅	✅	❌	✅	5
Fast Optimal Locally Private Mean Estimation via Random Projections	✅	✅	✅	❌	❌	❌	✅	4
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics	✅	✅	✅	❌	❌	❌	✅	4
Fast Partitioned Learned Bloom Filter	✅	✅	✅	❌	❌	❌	✅	4
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity	✅	❌	✅	❌	✅	❌	✅	4
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization	✅	❌	✅	❌	✅	❌	✅	4
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees	✅	✅	✅	❌	✅	❌	✅	5
Fast Trainable Projection for Robust Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms	✅	❌	❌	❌	❌	❌	✅	2
Fast and Simple Spectral Clustering in Theory and Practice	✅	✅	✅	❌	✅	❌	✅	5
Faster Differentially Private Convex Optimization via Second-Order Methods	✅	❌	✅	❌	❌	❌	❌	2
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case	✅	✅	❌	❌	✅	✅	✅	5
Faster Margin Maximization Rates for Generic Optimization Methods	✅	❌	❌	❌	❌	❌	❌	1
Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers	✅	❌	❌	❌	❌	❌	❌	1
Faster Relative Entropy Coding with Greedy Rejection Coding	✅	✅	✅	❌	❌	❌	✅	4
Faster approximate subgraph counts with privacy	✅	❌	✅	❌	✅	❌	✅	4
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning	❌	✅	✅	❌	✅	❌	✅	4
Feature Adaptation for Sparse Linear Regression	✅	✅	❌	❌	❌	✅	✅	4
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning	❌	✅	✅	❌	❌	❌	✅	3
Feature Learning for Interpretable, Performant Decision Trees	❌	❌	✅	✅	❌	❌	✅	3
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples	✅	✅	✅	❌	✅	❌	✅	5
Feature Selection in the Contrastive Analysis Setting	❌	✅	✅	✅	✅	✅	✅	6
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond	❌	❌	❌	❌	❌	❌	✅	1
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales	❌	❌	✅	✅	✅	❌	✅	4
Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning	✅	✅	✅	❌	✅	✅	✅	6
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense	✅	❌	✅	✅	✅	❌	✅	5
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer	✅	✅	✅	❌	❌	❌	✅	4
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks	❌	✅	✅	❌	❌	❌	❌	2
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
FedL2P: Federated Learning to Personalize	✅	✅	✅	✅	✅	❌	✅	6
FedNAR: Federated Optimization with Normalized Annealing Regularization	✅	✅	✅	❌	❌	❌	✅	4
Federated Compositional Deep AUC Maximization	✅	❌	✅	❌	❌	❌	✅	3
Federated Conditional Stochastic Optimization	✅	✅	✅	✅	✅	❌	✅	6
Federated Learning via Meta-Variational Dropout	✅	✅	✅	✅	✅	❌	✅	6
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data	✅	✅	✅	❌	✅	❌	✅	5
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds	✅	✅	✅	❌	✅	❌	✅	5
Federated Learning with Manifold Regularization and Normalized Update Reaggregation	✅	❌	✅	✅	❌	❌	✅	4
Federated Linear Bandits with Finite Adversarial Actions	✅	❌	✅	❌	❌	❌	❌	2
Federated Multi-Objective Learning	✅	❌	✅	❌	❌	❌	✅	3
Federated Spectral Clustering via Secure Similarity Reconstruction	✅	❌	✅	❌	❌	❌	✅	3
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration	❌	✅	✅	✅	✅	❌	✅	5
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory	✅	❌	✅	❌	❌	❌	✅	3
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations	✅	✅	✅	✅	✅	✅	✅	7
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation	❌	❌	✅	✅	✅	❌	❌	3
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces	✅	✅	✅	✅	✅	❌	✅	6
Finding Local Minima Efficiently in Decentralized Optimization	✅	✅	✅	❌	❌	❌	✅	4
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning	❌	✅	✅	✅	❌	❌	✅	4
Finding Safe Zones of Markov Decision Processes Policies	✅	❌	❌	❌	❌	❌	✅	2
Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator	❌	✅	✅	✅	✅	❌	✅	5
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training	✅	✅	✅	✅	✅	❌	✅	6
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization	✅	❌	❌	❌	❌	❌	❌	1
Fine-Grained Visual Prompting	❌	✅	✅	✅	✅	❌	✅	5
Fine-Tuning Language Models with Just Forward Passes	✅	✅	✅	✅	✅	❌	✅	6
Fine-grained Expressivity of Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering	❌	✅	✅	✅	✅	❌	✅	5
FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing	❌	❌	✅	❌	✅	❌	✅	3
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation	✅	❌	✅	❌	❌	❌	❌	2
Finite-Time Analysis of Single-Timescale Actor-Critic	✅	❌	❌	❌	❌	❌	❌	1
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation	✅	❌	❌	❌	❌	❌	✅	2
Finite-Time Logarithmic Bayes Regret Upper Bounds	✅	❌	❌	❌	❌	❌	✅	2
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities	✅	❌	❌	❌	❌	❌	❌	1
First Order Stochastic Optimization with Oblivious Noise	✅	❌	❌	❌	❌	❌	❌	1
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits	✅	❌	❌	❌	❌	❌	❌	1
Fitting trees to $\ell_1$-hyperbolic distances	✅	❌	✅	❌	✅	✅	✅	5
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs	✅	❌	✅	❌	✅	❌	✅	4
Flat Seeking Bayesian Neural Networks	❌	✅	✅	❌	❌	❌	❌	2
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
Flow Factorized Representation Learning	✅	✅	✅	❌	✅	❌	✅	5
Flow Matching for Scalable Simulation-Based Inference	❌	✅	✅	✅	✅	❌	✅	5
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection	❌	✅	✅	✅	✅	❌	✅	5
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Flow: Per-instance Personalized Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow	❌	❌	✅	❌	❌	❌	❌	1
FlowPG: Action-constrained Policy Gradient with Normalizing Flows	✅	✅	✅	❌	❌	❌	✅	4
Focus Your Attention when Few-Shot Classification	❌	✅	✅	❌	✅	❌	✅	4
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Focused Transformer: Contrastive Training for Context Scaling	✅	✅	✅	❌	✅	❌	✅	5
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts	✅	❌	✅	❌	❌	❌	✅	3
For SALE: State-Action Representation Learning for Deep Reinforcement Learning	✅	✅	✅	❌	✅	✅	✅	6
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting	❌	✅	✅	✅	✅	❌	✅	5
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning	✅	✅	✅	✅	❌	❌	✅	5
Formalizing locality for normative synaptic plasticity models	❌	❌	❌	❌	❌	❌	❌	0
Formulating Discrete Probability Flow Through Optimal Transport	❌	✅	✅	❌	❌	❌	✅	3
Foundation Model is Efficient Multimodal Multitask Model Selector	✅	✅	✅	✅	✅	❌	✅	6
FouriDown: Factoring Down-Sampling into Shuffling and Superposing	✅	✅	✅	✅	❌	❌	❌	4
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective	❌	✅	✅	✅	✅	✅	✅	6
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow	❌	✅	✅	✅	❌	❌	❌	3
Fractal Landscapes in Policy Optimization	❌	❌	✅	❌	❌	❌	✅	2
Fragment-based Pretraining and Finetuning on Molecular Graphs	❌	✅	✅	✅	✅	❌	✅	5
Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator	❌	✅	✅	❌	✅	❌	✅	4
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models	❌	✅	✅	✅	✅	❌	✅	5
Frequency Domain-Based Dataset Distillation	✅	✅	✅	❌	❌	❌	✅	4
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation	❌	✅	✅	✅	❌	❌	❌	3
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting	❌	✅	✅	✅	✅	✅	✅	6
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader	❌	✅	✅	✅	✅	❌	✅	5
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion	❌	✅	✅	❌	✅	❌	✅	4
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces	❌	✅	✅	✅	✅	❌	✅	5
From Tempered to Benign Overfitting in ReLU Neural Networks	❌	❌	❌	❌	❌	❌	✅	1
From Trainable Negative Depth to Edge Heterophily in Graphs	❌	❌	✅	✅	✅	❌	✅	4
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models	❌	✅	✅	✅	✅	❌	✅	5
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge	✅	✅	✅	❌	✅	❌	✅	5
Full-Atom Protein Pocket Design via Iterative Refinement	✅	❌	✅	✅	✅	❌	✅	5
Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time	✅	✅	✅	❌	✅	❌	✅	5
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks	✅	❌	✅	❌	✅	❌	✅	4
Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks	✅	❌	❌	❌	❌	❌	❌	1
Functional Renyi Differential Privacy for Generative Modeling	❌	✅	✅	✅	✅	❌	✅	5
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration	✅	❌	✅	✅	✅	✅	✅	6
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications	✅	✅	✅	✅	✅	✅	✅	7
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs	✅	✅	✅	❌	❌	❌	✅	4
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection	✅	✅	✅	❌	❌	❌	❌	3
GALOPA: Graph Transport Learning with Optimal Plan Alignment	❌	❌	✅	✅	❌	❌	✅	3
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference	✅	❌	✅	❌	✅	❌	✅	4
GAUCHE: A Library for Gaussian Processes in Chemistry	✅	✅	✅	✅	❌	❌	✅	5
GEQ: Gaussian Kernel Inspired Equilibrium Models	✅	❌	✅	❌	✅	❌	✅	4
GEX: A flexible method for approximating influence via Geometric Ensemble	✅	✅	✅	✅	✅	❌	✅	6
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning	❌	✅	✅	✅	❌	❌	❌	3
GLIME: General, Stable and Local LIME Explanation	❌	✅	✅	✅	❌	❌	✅	4
GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER	❌	✅	✅	❌	✅	❌	✅	4
GMSF: Global Matching Scene Flow	❌	✅	✅	✅	✅	❌	✅	5
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels	❌	❌	✅	✅	❌	❌	✅	3
GNeSF: Generalizable Neural Semantic Fields	❌	✅	✅	✅	❌	❌	❌	3
GPEX, A Framework For Interpreting Artificial Neural Networks	✅	✅	✅	❌	❌	❌	✅	4
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction	❌	✅	✅	✅	❌	❌	✅	4
GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints	❌	✅	✅	✅	✅	❌	✅	5
GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence	❌	✅	❌	❌	❌	❌	✅	2
Gacs-Korner Common Information Variational Autoencoder	❌	✅	✅	❌	✅	❌	✅	4
Game Solving with Online Fine-Tuning	❌	✅	❌	❌	✅	❌	✅	3
Gaussian Differential Privacy on Riemannian Manifolds	✅	✅	❌	❌	✅	❌	✅	4
Gaussian Membership Inference Privacy	✅	✅	✅	❌	❌	❌	✅	4
Gaussian Mixture Solvers for Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data	❌	✅	✅	✅	✅	❌	✅	5
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing	❌	✅	✅	✅	❌	❌	✅	4
GenS: Generalizable Neural Surface Reconstruction from Multi-View Images	❌	✅	✅	❌	✅	❌	✅	4
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence	✅	❌	✅	❌	❌	❌	✅	3
Generalised f-Mean Aggregation for Graph Neural Networks	❌	✅	✅	❌	❌	❌	✅	3
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations	❌	✅	✅	✅	✅	❌	✅	5
Generalizable One-shot 3D Neural Head Avatar	❌	✅	✅	❌	✅	❌	✅	4
Generalization bounds for neural ordinary differential equations and deep residual networks	❌	✅	✅	❌	❌	❌	✅	3
Generalization in the Face of Adaptivity: A Bayesian Perspective	❌	❌	❌	❌	❌	❌	❌	0
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation	✅	✅	✅	✅	❌	✅	✅	6
Generalized Belief Transport	✅	❌	❌	❌	❌	❌	✅	2
Generalized Information-theoretic Multi-view Clustering	✅	❌	✅	❌	❌	❌	✅	3
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models	❌	✅	✅	✅	❌	❌	✅	4
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation	❌	❌	✅	❌	❌	❌	❌	1
Generalized Weighted Path Consistency for Mastering Atari Games	✅	✅	✅	❌	✅	❌	✅	5
Generalized equivalences between subsampling and ridge regularization	❌	✅	✅	✅	❌	✅	✅	5
Generalized test utilities for long-tail performance in extreme multi-label classification	✅	✅	✅	❌	✅	❌	✅	5
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems	✅	✅	✅	✅	✅	✅	✅	7
Generalizing Nonlinear ICA Beyond Structural Sparsity	❌	❌	✅	❌	❌	❌	✅	2
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion	✅	✅	✅	✅	✅	✅	✅	7
Generating Behaviorally Diverse Policies with Latent Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
Generating Images with Multimodal Language Models	❌	✅	✅	✅	✅	❌	✅	5
Generative Category-level Object Pose Estimation via Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning	✅	✅	✅	❌	❌	❌	❌	3
Generative Neural Fields by Mixtures of Neural Implicit Functions	✅	❌	✅	✅	✅	✅	✅	6
Generator Born from Classifier	✅	❌	✅	❌	❌	❌	✅	3
Generator Identification for Linear SDEs with Additive and Multiplicative Noise	❌	❌	❌	❌	❌	❌	✅	1
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization	❌	✅	✅	❌	❌	❌	✅	3
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies	✅	✅	✅	❌	✅	✅	✅	6
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising	❌	✅	✅	✅	✅	❌	✅	5
Geodesic Multi-Modal Mixup for Robust Fine-Tuning	❌	✅	✅	❌	❌	❌	✅	3
Geometric Algebra Transformer	❌	✅	✅	✅	❌	❌	✅	4
Geometric Analysis of Matrix Sensing over Graphs	❌	❌	❌	❌	❌	❌	✅	1
Geometric Neural Diffusion Processes	✅	✅	✅	❌	✅	❌	✅	5
Geometric Transformer with Interatomic Positional Encoding	❌	✅	✅	✅	❌	❌	✅	4
Geometry-Aware Adaptation for Pretrained Models	✅	✅	✅	✅	❌	❌	❌	4
Geometry-Informed Neural Operator for Large-Scale 3D PDEs	❌	❌	✅	✅	✅	❌	✅	4
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design	❌	❌	✅	✅	✅	❌	✅	4
Glance and Focus: Memory Prompting for Multi-Event Video Question Answering	❌	✅	✅	✅	✅	❌	✅	5
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization	✅	❌	❌	❌	❌	❌	✅	2
Global Identifiability of $\ell_1$-based Dictionary Learning via Matrix Volume Optimization	✅	❌	❌	❌	❌	❌	✅	2
Global Optimality in Bivariate Gradient-based DAG Learning	✅	❌	❌	❌	❌	❌	✅	2
Global Structure-Aware Diffusion Process for Low-light Image Enhancement	✅	✅	✅	❌	❌	❌	✅	4
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data	✅	✅	✅	❌	✅	❌	✅	5
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction	❌	✅	✅	❌	✅	❌	✅	4
Globally injective and bijective neural operators	❌	❌	❌	❌	❌	❌	❌	0
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces	✅	❌	✅	❌	✅	✅	✅	5
GloptiNets: Scalable Non-Convex Optimization with Certificates	✅	✅	❌	❌	✅	❌	✅	4
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces	❌	❌	❌	❌	✅	❌	✅	2
GlyphControl: Glyph Conditional Control for Visual Text Generation	❌	✅	❌	❌	❌	✅	✅	3
Goal Driven Discovery of Distributional Differences via Language Descriptions	❌	✅	✅	✅	✅	❌	✅	5
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Goal-conditioned Offline Planning from Curious Exploration	✅	✅	❌	❌	✅	❌	✅	4
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity	❌	✅	✅	❌	❌	❌	✅	3
Going beyond persistent homology using persistent homology	✅	✅	✅	✅	✅	❌	✅	6
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism	❌	✅	✅	✅	✅	✅	✅	6
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients	✅	❌	✅	❌	✅	✅	✅	5
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy	❌	❌	✅	❌	❌	❌	✅	2
Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians	✅	✅	❌	❌	❌	❌	✅	3
Gradient Informed Proximal Policy Optimization	✅	✅	✅	❌	✅	✅	✅	6
Gradient-Based Feature Learning under Structured Data	✅	❌	❌	❌	❌	❌	❌	1
Gradient-Free Kernel Stein Discrepancy	❌	✅	✅	❌	❌	✅	✅	4
Grammar Prompting for Domain-Specific Language Generation with Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Granger Components Analysis: Unsupervised learning of latent temporal dependencies	✅	✅	✅	❌	❌	❌	✅	4
Graph Contrastive Learning with Stable and Scalable Spectral Encoding	✅	✅	✅	✅	✅	❌	✅	6
Graph Convolutional Kernel Machine versus Graph Convolutional Networks	❌	✅	✅	✅	❌	❌	✅	4
Graph Denoising Diffusion for Inverse Protein Folding	✅	✅	✅	✅	✅	✅	✅	7
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling	❌	✅	✅	✅	✅	❌	✅	5
Graph of Circuits with GNN for Exploring the Optimal Design Space	✅	❌	❌	✅	❌	❌	❌	2
Graph-Structured Gaussian Processes for Transferable Graph Learning	✅	✅	✅	✅	✅	❌	✅	6
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph	❌	✅	✅	❌	✅	❌	✅	4
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search	✅	❌	❌	✅	✅	❌	✅	4
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation	❌	✅	✅	✅	✅	✅	✅	6
Grassmann Manifold Flows for Stable Shape Generation	✅	❌	✅	✅	✅	❌	✅	5
Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On	❌	❌	✅	❌	✅	❌	✅	3
Greedy Poisson Rejection Sampling	✅	✅	❌	❌	❌	❌	✅	3
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing	✅	❌	❌	❌	❌	❌	✅	2
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents	✅	✅	✅	❌	❌	❌	❌	3
Grounding Neural Inference with Satisfiability Modulo Theories	✅	✅	✅	❌	❌	❌	✅	4
Group Fairness in Peer Review	✅	❌	✅	❌	❌	❌	✅	3
Group Robust Classification Without Any Group Information	✅	✅	✅	✅	❌	❌	✅	5
Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability	✅	✅	✅	❌	❌	❌	✅	4
Guide Your Agent with Adaptive Multimodal Rewards	❌	✅	✅	❌	✅	❌	✅	4
Guiding Large Language Models via Directional Stimulus Prompting	❌	✅	✅	✅	✅	❌	✅	5
Guiding The Last Layer in Federated Learning with Pre-Trained Models	✅	✅	✅	❌	✅	❌	✅	5
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation	✅	✅	✅	❌	✅	❌	✅	5
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets	✅	❌	✅	❌	❌	❌	✅	3
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection	❌	✅	✅	✅	✅	✅	✅	6
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training	✅	✅	✅	❌	✅	✅	✅	6
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception	❌	✅	✅	✅	❌	❌	✅	4
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection	❌	✅	✅	✅	✅	❌	✅	5
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds	❌	✅	✅	✅	✅	❌	✅	5
HIQL: Offline Goal-Conditioned RL with Latent States as Actions	✅	✅	✅	✅	✅	❌	✅	6
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text	✅	✅	✅	❌	❌	❌	✅	4
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition	❌	✅	✅	✅	✅	❌	✅	5
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery	✅	✅	✅	✅	✅	❌	✅	6
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products	✅	❌	❌	❌	❌	❌	❌	1
Hardware Resilience Properties of Text-Guided Image Classifiers	❌	✅	✅	✅	✅	❌	✅	5
Harnessing Hard Mixed Samples with Decoupled Regularizer	❌	✅	✅	✅	✅	❌	✅	5
Harnessing the power of choices in decision tree learning	✅	✅	✅	✅	❌	❌	✅	5
Have it your way: Individualized Privacy Assignment for DP-SGD	✅	❌	✅	❌	✅	✅	✅	5
HeadSculpt: Crafting 3D Head Avatars with Text	❌	❌	✅	❌	✅	✅	✅	4
HiBug: On Human-Interpretable Model Debug	❌	✅	✅	✅	✅	❌	✅	5
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation	❌	❌	✅	❌	✅	✅	✅	4
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks	✅	❌	✅	❌	❌	❌	✅	3
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality	✅	✅	✅	❌	✅	❌	✅	5
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning	✅	❌	✅	✅	✅	❌	✅	5
Hierarchical Integration Diffusion Model for Realistic Image Deblurring	❌	✅	✅	❌	✅	❌	✅	4
Hierarchical Multi-Agent Skill Discovery	✅	❌	✅	❌	❌	❌	✅	3
Hierarchical Open-vocabulary Universal Image Segmentation	❌	❌	✅	❌	✅	❌	✅	3
Hierarchical Randomized Smoothing	✅	✅	✅	✅	✅	❌	✅	6
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration	✅	✅	✅	❌	✅	❌	✅	5
Hierarchical VAEs provide a normative account of motion processing in the primate brain	❌	✅	✅	✅	✅	❌	✅	5
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection	❌	✅	✅	✅	✅	❌	✅	5
Hierarchical clustering with dot products recovers hidden tree structure	✅	✅	✅	❌	✅	❌	✅	5
Hierarchically Gated Recurrent Neural Network for Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
High Precision Causal Model Evaluation with Conditional Randomization	❌	❌	❌	❌	❌	❌	✅	1
High dimensional, tabular deep learning with an auxiliary knowledge graph	✅	✅	✅	✅	✅	❌	✅	6
High-Fidelity Audio Compression with Improved RVQGAN	❌	✅	✅	❌	❌	❌	✅	3
High-dimensional Asymptotics of Denoising Autoencoders	❌	✅	✅	❌	❌	❌	✅	3
High-dimensional Contextual Bandit Problem without Sparsity	✅	❌	❌	❌	❌	❌	✅	2
Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do	❌	❌	❌	❌	❌	❌	✅	1
History Filtering in Imperfect Information Games: Algorithms and Complexity	✅	❌	❌	❌	❌	❌	✅	2
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data	❌	❌	✅	❌	✅	❌	✅	3
Homotopy-based training of NeuralODEs for accurate dynamics discovery	✅	✅	✅	❌	❌	❌	✅	4
Honesty Is the Best Policy: Defining and Mitigating AI Deception	✅	❌	✅	❌	✅	❌	✅	4
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space	❌	❌	✅	✅	✅	❌	✅	4
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception	❌	✅	✅	✅	✅	❌	✅	5
How Does Adaptive Optimization Impact Local Neural Network Geometry?	❌	❌	✅	❌	❌	❌	✅	2
How Re-sampling Helps for Long-Tail Learning?	✅	✅	✅	✅	✅	❌	✅	6
How a Student becomes a Teacher: learning and forgetting through Spectral methods	✅	✅	❌	✅	❌	❌	✅	4
How do Minimum-Norm Shallow Denoisers Look in Function Space?	❌	❌	✅	❌	❌	❌	✅	2
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model	❌	✅	❌	❌	✅	❌	✅	3
How many samples are needed to leverage smoothness?	❌	✅	❌	❌	❌	❌	✅	2
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization	✅	✅	✅	❌	✅	❌	✅	5
How to Scale Your EMA	✅	❌	✅	✅	✅	❌	✅	5
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget	✅	❌	✅	✅	❌	❌	✅	4
How to Turn Your Knowledge Graph Embeddings into Generative Models	❌	✅	✅	✅	✅	❌	✅	5
How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception	❌	✅	✅	✅	✅	❌	✅	5
HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection	✅	❌	✅	❌	✅	❌	✅	4
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face	❌	✅	❌	❌	❌	❌	✅	2
Human spatiotemporal pattern learning as probabilistic program synthesis	❌	❌	✅	❌	❌	❌	✅	2
Human-Aligned Calibration for AI-Assisted Decision Making	✅	✅	✅	❌	❌	❌	❌	3
Human-Guided Complexity-Controlled Abstractions	❌	✅	✅	✅	✅	❌	✅	5
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses	❌	✅	✅	✅	✅	✅	✅	6
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language	❌	✅	✅	✅	✅	❌	✅	5
HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork	❌	❌	✅	❌	✅	❌	✅	3
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Hybrid Policy Optimization from Imperfect Demonstrations	❌	✅	✅	❌	❌	❌	❌	2
Hybrid Search for Efficient Planning with Completeness Guarantees	❌	❌	✅	❌	❌	❌	❌	1
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution	❌	✅	✅	✅	✅	❌	✅	5
Hyper-HMM: aligning human brains and semantic features in a common latent event space	✅	✅	✅	✅	✅	❌	✅	6
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach	❌	✅	✅	✅	✅	❌	✅	5
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels	❌	❌	✅	✅	✅	❌	✅	4
Hyperbolic VAE via Latent Gaussian Distributions	✅	✅	✅	✅	✅	❌	✅	6
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks	❌	❌	❌	❌	❌	❌	❌	0
Hypervolume Maximization: A Geometric View of Pareto Set Learning	✅	✅	✅	❌	❌	❌	✅	4
Hypothesis Selection with Memory Constraints	✅	❌	❌	❌	❌	❌	❌	1
IBA: Towards Irreversible Backdoor Attacks in Federated Learning	❌	✅	✅	❌	❌	❌	✅	3
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets	❌	❌	✅	✅	❌	❌	✅	3
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval	✅	❌	✅	❌	✅	❌	✅	4
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
IEBins: Iterative Elastic Bins for Monocular Depth Estimation	❌	✅	✅	✅	✅	❌	✅	5
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI	✅	✅	✅	✅	❌	❌	✅	5
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers	✅	✅	✅	❌	❌	❌	✅	4
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns	✅	✅	✅	❌	✅	❌	✅	5
Idempotent Learned Image Compression with Right-Inverse	❌	✅	✅	❌	✅	✅	✅	5
Identifiability Guarantees for Causal Disentanglement from Soft Interventions	❌	✅	✅	❌	❌	❌	✅	3
Identifiable Contrastive Learning with Automatic Feature Importance Discovery	❌	✅	✅	❌	❌	❌	✅	3
Identification of Nonlinear Latent Hierarchical Models	✅	❌	✅	❌	❌	❌	✅	3
Ignorance is Bliss: Robust Control via Information Gating	✅	❌	✅	❌	❌	❌	✅	3
Im-Promptu: In-Context Composition from Image Prompts	✅	❌	✅	✅	❌	❌	✅	4
Image Captioners Are Scalable Vision Learners Too	❌	✅	✅	✅	✅	❌	✅	5
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation	❌	❌	✅	✅	✅	❌	✅	4
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation	✅	✅	✅	✅	✅	❌	✅	6
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion	❌	✅	✅	✅	❌	✅	✅	5
Imbalanced Mixed Linear Regression	✅	✅	✅	❌	❌	❌	✅	4
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms	✅	✅	✅	❌	✅	❌	✅	5
Imitation Learning from Vague Feedback	✅	✅	❌	❌	❌	❌	✅	3
Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network	❌	❌	❌	❌	❌	❌	✅	1
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability	❌	❌	✅	❌	❌	❌	✅	2
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data	❌	❌	✅	❌	❌	❌	✅	2
Implicit Contrastive Representation Learning with Guided Stop-gradient	✅	✅	✅	✅	✅	❌	✅	6
Implicit Convolutional Kernels for Steerable CNNs	❌	✅	✅	✅	❌	❌	✅	4
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis	✅	✅	✅	❌	✅	❌	✅	5
Implicit Manifold Gaussian Process Regression	❌	✅	✅	❌	❌	❌	✅	3
Implicit Regularization in Over-Parameterized Support Vector Machine	✅	❌	❌	✅	❌	❌	✅	3
Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics	✅	✅	✅	❌	✅	❌	✅	5
Implicit Variational Inference for High-Dimensional Posteriors	❌	✅	✅	❌	✅	❌	✅	4
Implicit variance regularization in non-contrastive SSL	❌	✅	✅	✅	✅	❌	✅	5
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Importance-aware Co-teaching for Offline Model-based Optimization	✅	✅	✅	❌	✅	❌	✅	5
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures	✅	❌	✅	❌	❌	❌	✅	3
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition	❌	✅	✅	✅	❌	❌	✅	4
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning	❌	❌	❌	❌	❌	❌	❌	0
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms	✅	❌	❌	❌	❌	❌	❌	1
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates	✅	❌	✅	❌	✅	❌	✅	4
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise	✅	❌	❌	❌	❌	❌	❌	1
Improved Frequency Estimation Algorithms with and without Predictions	✅	❌	✅	❌	❌	❌	✅	3
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization	❌	✅	✅	✅	❌	❌	✅	4
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context	❌	✅	✅	✅	✅	❌	✅	5
Improving Adversarial Robustness via Information Bottleneck Distillation	❌	✅	✅	✅	❌	❌	✅	4
Improving Adversarial Transferability via Intermediate-level Perturbation Decay	❌	✅	✅	✅	✅	❌	✅	5
Improving CLIP Training with Language Rewrites	❌	✅	✅	❌	✅	❌	✅	4
Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings	✅	❌	✅	✅	❌	❌	✅	4
Improving Diffusion-Based Image Synthesis with Context Prediction	❌	❌	✅	❌	✅	❌	✅	3
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data	✅	✅	✅	✅	✅	❌	✅	6
Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network	❌	❌	✅	✅	✅	❌	✅	4
Improving Language Plasticity via Pretraining with Active Forgetting	✅	❌	✅	❌	✅	❌	✅	4
Improving Robustness with Adaptive Weight Decay	✅	❌	✅	✅	❌	❌	✅	4
Improving Self-supervised Molecular Representation Learning using Persistent Homology	❌	✅	✅	✅	✅	❌	✅	5
Improving neural network representations using human similarity judgments	❌	❌	✅	✅	✅	❌	✅	4
Improving the Knowledge Gradient Algorithm	✅	❌	✅	❌	❌	❌	✅	3
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners	✅	❌	✅	❌	❌	❌	✅	3
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer	❌	❌	✅	❌	✅	❌	✅	3
In-Context Impersonation Reveals Large Language Models' Strengths and Biases	❌	✅	✅	❌	✅	❌	✅	4
In-Context Learning Unlocked for Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization	✅	❌	✅	❌	❌	❌	✅	3
Incentives in Private Collaborative Machine Learning	✅	❌	✅	✅	✅	❌	✅	5
Incentivized Communication for Federated Bandits	✅	❌	✅	❌	❌	❌	✅	3
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization	❌	❌	✅	❌	✅	❌	✅	3
Incomplete Multimodality-Diffused Emotion Recognition	❌	✅	✅	✅	❌	❌	✅	4
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training	✅	❌	✅	✅	✅	❌	✅	5
Individual Arbitrariness and Group Fairness	❌	✅	✅	✅	❌	❌	✅	4
Individualized Dosing Dynamics via Neural Eigen Decomposition	✅	❌	✅	✅	✅	❌	✅	5
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model	❌	✅	✅	✅	❌	❌	✅	4
Inferring Hybrid Neural Fluid Fields from Videos	❌	❌	✅	❌	✅	❌	✅	3
Inferring the Future by Imagining the Past	✅	❌	❌	❌	❌	❌	✅	2
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion	❌	✅	✅	❌	✅	❌	✅	4
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding	✅	❌	✅	✅	❌	❌	✅	4
Information Design in Multi-Agent Reinforcement Learning	❌	✅	❌	❌	✅	❌	✅	3
Information Geometry of the Retinal Representation Manifold	❌	❌	✅	❌	✅	❌	✅	3
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI	❌	✅	✅	✅	✅	❌	✅	5
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills	✅	✅	❌	❌	❌	❌	✅	3
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds	❌	❌	❌	❌	❌	❌	❌	0
Information-guided Planning: An Online Approach for Partially Observable Problems	✅	✅	✅	❌	✅	❌	✅	5
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks	✅	❌	❌	❌	❌	❌	❌	1
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization	❌	❌	✅	❌	✅	❌	✅	3
Inner Product-based Neural Network Similarity	❌	❌	✅	❌	✅	❌	✅	3
Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction	❌	✅	✅	✅	✅	❌	✅	5
InsActor: Instruction-driven Physics-based Characters	✅	✅	✅	✅	❌	❌	❌	4
Inserting Anybody in Diffusion Models via Celeb Basis	❌	✅	✅	❌	✅	❌	✅	4
InstanT: Semi-supervised Learning with Instance-dependent Thresholds	❌	✅	✅	✅	✅	❌	✅	5
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning	❌	✅	✅	✅	✅	❌	✅	5
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives	✅	✅	✅	❌	❌	❌	✅	4
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes	❌	❌	✅	✅	❌	❌	✅	3
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks	✅	❌	✅	❌	❌	❌	✅	3
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions	✅	✅	✅	❌	✅	✅	✅	6
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision	✅	❌	✅	❌	✅	❌	✅	4
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca	✅	✅	❌	✅	✅	❌	✅	5
Interpretable Graph Networks Formulate Universal Algebra Conjectures	✅	✅	✅	❌	✅	✅	✅	6
Interpretable Prototype-based Graph Information Bottleneck	❌	✅	✅	✅	❌	❌	✅	4
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach	✅	❌	✅	✅	✅	❌	✅	5
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction	✅	✅	✅	❌	❌	❌	✅	4
Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction	✅	✅	✅	✅	✅	✅	✅	7
Intervention Generalization: A View from Factor Graph Models	❌	✅	✅	❌	❌	❌	✅	3
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP	✅	❌	✅	✅	✅	❌	✅	5
Intriguing Properties of Quantization at Scale	❌	❌	✅	❌	✅	❌	✅	3
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts	✅	✅	✅	✅	❌	❌	✅	5
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective	❌	✅	✅	✅	✅	❌	✅	5
Invariant Learning via Probability of Sufficient and Necessary Causes	❌	✅	✅	✅	✅	❌	✅	5
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation	❌	✅	✅	✅	✅	❌	✅	5
Inverse Preference Learning: Preference-based RL without a Reward Function	✅	✅	✅	❌	❌	❌	✅	4
Inverse Reinforcement Learning with the Average Reward Criterion	✅	✅	❌	❌	❌	❌	✅	3
Investigating how ReLU-networks encode symmetries	❌	✅	✅	❌	✅	❌	❌	3
Is Distance Matrix Enough for Geometric Deep Learning?	❌	✅	✅	✅	✅	❌	✅	5
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning	✅	❌	✅	❌	✅	❌	✅	4
Is Learning in Games Good for the Learners?	✅	❌	❌	❌	❌	❌	❌	1
Is RLHF More Difficult than Standard RL? A Theoretical Perspective	✅	❌	❌	❌	❌	❌	❌	1
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation	❌	✅	✅	✅	❌	❌	✅	4
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning	✅	❌	✅	❌	✅	❌	❌	3
Iterative Reachability Estimation for Safe Reinforcement Learning	✅	✅	❌	✅	✅	❌	✅	5
Iteratively Learn Diverse Strategies with State Distance Information	✅	❌	✅	❌	✅	❌	✅	4
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels	✅	✅	✅	✅	✅	❌	✅	6
Jailbroken: How Does LLM Safety Training Fail?	❌	❌	✅	✅	❌	❌	✅	3
Jigsaw: Learning to Assemble Multiple Fractured Objects	❌	✅	✅	❌	✅	❌	✅	4
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition	✅	❌	✅	✅	❌	❌	✅	4
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network	✅	✅	✅	❌	❌	❌	✅	4
Joint Data-Task Generation for Auxiliary Learning	✅	❌	✅	❌	❌	❌	✅	3
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy	✅	❌	✅	✅	✅	❌	✅	5
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization	❌	✅	✅	✅	✅	❌	✅	5
Joint Prompt Optimization of Stacked LLMs using Variational Inference	✅	✅	✅	✅	❌	❌	✅	5
Joint Training of Deep Ensembles Fails Due to Learner Collusion	❌	✅	✅	✅	✅	❌	✅	5
Joint processing of linguistic properties in brains and language models	❌	✅	✅	✅	✅	❌	✅	5
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing	✅	✅	✅	✅	❌	❌	✅	5
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training	❌	✅	✅	✅	✅	✅	✅	6
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs	❌	✅	✅	✅	❌	❌	✅	4
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control	✅	❌	✅	❌	❌	❌	✅	3
Kernel Quadrature with Randomly Pivoted Cholesky	✅	✅	✅	❌	✅	❌	✅	5
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization	❌	✅	✅	✅	❌	❌	✅	4
Kernel-Based Tests for Likelihood-Free Hypothesis Testing	✅	✅	✅	✅	✅	✅	✅	7
Kernelized Cumulants: Beyond Kernel Mean Embeddings	❌	✅	✅	❌	✅	❌	✅	4
Kernelized Reinforcement Learning with Order Optimal Regret Bounds	✅	❌	❌	❌	❌	❌	❌	1
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation	❌	✅	✅	✅	❌	❌	✅	4
Kiki or Bouba? Sound Symbolism in Vision-and-Language Models	❌	✅	✅	❌	❌	❌	✅	3
Kissing to Find a Match: Efficient Low-Rank Permutation Representation	❌	❌	✅	❌	❌	❌	✅	2
Knowledge Diffusion for Distillation	❌	✅	✅	✅	✅	❌	✅	5
Knowledge Distillation Performs Partial Variance Reduction	✅	❌	✅	❌	❌	❌	✅	3
Knowledge Distillation for High Dimensional Search Index	✅	❌	✅	✅	❌	❌	✅	4
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks	❌	✅	✅	✅	✅	❌	✅	5
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors	✅	✅	✅	✅	✅	❌	✅	6
Koopman Kernel Regression	✅	✅	❌	❌	❌	❌	✅	3
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures	✅	❌	✅	✅	✅	❌	✅	5
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards	✅	❌	❌	❌	❌	❌	✅	2
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference	✅	✅	✅	✅	❌	❌	✅	5
L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors	✅	✅	✅	✅	✅	❌	✅	6
L2T-DLN: Learning to Teach with Dynamic Loss Network	✅	❌	✅	✅	❌	❌	✅	4
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images	✅	✅	✅	✅	✅	✅	✅	7
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer	❌	✅	✅	❌	✅	❌	✅	4
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings	✅	✅	✅	✅	✅	❌	❌	5
LEACE: Perfect linear concept erasure in closed form	✅	✅	✅	❌	❌	❌	✅	4
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction	❌	❌	✅	❌	❌	❌	❌	1
LICO: Explainable Models with Language-Image COnsistency	✅	✅	✅	✅	✅	❌	✅	6
LIMA: Less Is More for Alignment	❌	❌	✅	✅	❌	❌	✅	3
LLM-Pruner: On the Structural Pruning of Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation	❌	✅	✅	❌	❌	❌	✅	3
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition	❌	✅	✅	✅	✅	✅	✅	6
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching	✅	✅	✅	❌	✅	❌	✅	5
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections	❌	❌	✅	✅	✅	❌	✅	4
Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model	✅	✅	✅	✅	❌	❌	✅	5
Label Poisoning is All You Need	✅	❌	✅	❌	✅	❌	✅	4
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency	✅	❌	❌	❌	❌	❌	✅	2
Label-Only Model Inversion Attacks via Knowledge Transfer	❌	✅	✅	❌	❌	❌	❌	2
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels	✅	✅	✅	✅	✅	❌	✅	6
Label-efficient Segmentation via Affinity Propagation	✅	❌	✅	✅	✅	❌	✅	5
Labeling Neural Representations with Inverse Recognition	❌	✅	✅	✅	✅	❌	✅	5
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas	❌	✅	❌	❌	✅	❌	✅	3
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information	✅	✅	✅	✅	❌	❌	✅	5
Langevin Quasi-Monte Carlo	✅	❌	✅	✅	❌	❌	✅	4
Language Is Not All You Need: Aligning Perception with Language Models	❌	✅	✅	❌	❌	❌	✅	3
Language Model Alignment with Elastic Reset	❌	✅	✅	❌	✅	❌	✅	4
Language Model Tokenizers Introduce Unfairness Between Languages	❌	❌	✅	❌	❌	❌	❌	1
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning	❌	✅	✅	✅	✅	❌	✅	5
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting	❌	✅	✅	❌	❌	❌	✅	3
Language Models Meet World Models: Embodied Experiences Enhance Language Models	❌	✅	✅	❌	✅	❌	✅	4
Language Models are Weak Learners	✅	❌	✅	✅	✅	❌	✅	5
Language Models can Solve Computer Tasks	❌	✅	✅	❌	❌	❌	✅	3
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment	❌	✅	✅	❌	✅	❌	✅	4
Language Semantic Graph Guided Data-Efficient Learning	❌	✅	✅	✅	❌	❌	✅	4
Language-based Action Concept Spaces Improve Video Self-Supervised Learning	❌	❌	✅	✅	✅	❌	✅	4
Language-driven Scene Synthesis using Multi-conditional Diffusion Model	❌	✅	✅	❌	✅	❌	✅	4
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding	✅	✅	✅	✅	✅	❌	✅	6
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning	✅	✅	✅	❌	✅	❌	✅	5
Large Language Models Are Semi-Parametric Reinforcement Learning Agents	❌	✅	✅	❌	❌	❌	✅	3
Large Language Models Are Zero-Shot Time Series Forecasters	❌	✅	✅	✅	❌	❌	✅	4
Large Language Models are Visual Reasoning Coordinators	❌	✅	✅	✅	✅	❌	✅	5
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning	✅	✅	✅	❌	✅	❌	✅	5
Large Language Models can Implement Policy Iteration	✅	✅	✅	❌	✅	❌	✅	5
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering	❌	✅	✅	✅	✅	❌	✅	5
Large Language Models of Code Fail at Completing Code with Potential Bugs	❌	✅	✅	❌	❌	❌	✅	3
Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.	❌	❌	✅	❌	✅	❌	✅	3
Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows	❌	✅	✅	❌	❌	❌	✅	3
Large-Scale Distributed Learning via Private On-Device LSH	✅	❌	✅	❌	✅	❌	✅	4
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs	✅	❌	❌	❌	✅	❌	✅	3
Latent Diffusion for Language Generation	❌	✅	✅	✅	✅	❌	✅	5
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields	❌	✅	✅	✅	✅	✅	✅	6
Latent Graph Inference with Limited Supervision	❌	✅	✅	✅	❌	❌	✅	4
Latent SDEs on Homogeneous Spaces	✅	✅	✅	✅	✅	✅	✅	7
Latent Space Translation via Semantic Alignment	❌	✅	✅	❌	✅	❌	✅	4
Latent exploration for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions	✅	❌	✅	❌	✅	❌	✅	4
Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs	✅	✅	✅	✅	✅	❌	✅	6
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
LayoutPrompter: Awaken the Design Ability of Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery	❌	✅	✅	❌	❌	❌	✅	3
Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction	❌	✅	✅	❌	❌	❌	✅	3
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback	✅	❌	❌	❌	❌	❌	❌	1
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Learning Causal Models under Independent Changes	✅	✅	✅	❌	❌	❌	✅	4
Learning Curves for Deep Structured Gaussian Feature Models	❌	✅	❌	❌	✅	✅	✅	4
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles	❌	✅	✅	❌	❌	✅	✅	4
Learning Cuts via Enumeration Oracles	✅	❌	✅	❌	✅	✅	✅	5
Learning DAGs from Data with Few Root Causes	❌	✅	✅	❌	✅	❌	✅	4
Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization	❌	❌	✅	✅	✅	❌	✅	4
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation	✅	✅	✅	✅	✅	❌	✅	6
Learning Dictionary for Visual Attention	✅	✅	✅	✅	❌	❌	❌	4
Learning Domain-Aware Detection Head with Prompt Tuning	❌	✅	✅	✅	✅	❌	✅	5
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning	❌	❌	✅	❌	❌	❌	✅	2
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations	✅	❌	✅	✅	✅	❌	✅	5
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks	❌	✅	✅	✅	✅	❌	✅	5
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC	✅	✅	✅	✅	✅	✅	✅	7
Learning Energy-based Model via Dual-MCMC Teaching	✅	❌	✅	❌	❌	❌	✅	3
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions	❌	❌	✅	❌	✅	❌	✅	3
Learning Exponential Families from Truncated Samples	✅	❌	❌	❌	❌	❌	✅	2
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment	❌	❌	✅	✅	✅	❌	✅	4
Learning From Biased Soft Labels	❌	❌	✅	✅	❌	❌	✅	3
Learning Functional Transduction	❌	❌	✅	❌	✅	❌	✅	3
Learning Generalizable Agents via Saliency-guided Features Decorrelation	✅	❌	✅	❌	✅	❌	✅	4
Learning Interpretable Low-dimensional Representation via Physical Symmetry	❌	✅	✅	❌	❌	❌	✅	3
Learning Invariant Molecular Representation in Latent Discrete Space	❌	✅	✅	✅	✅	❌	✅	5
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization	✅	✅	✅	✅	❌	❌	✅	5
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head	❌	✅	✅	✅	✅	❌	✅	5
Learning Large Graph Property Prediction via Graph Segment Training	✅	✅	✅	❌	✅	❌	✅	5
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition	❌	✅	✅	❌	✅	❌	✅	4
Learning Large-scale Neural Fields via Context Pruned Meta-Learning	✅	✅	✅	✅	✅	❌	✅	6
Learning Layer-wise Equivariances Automatically using Gradients	❌	✅	✅	❌	❌	❌	✅	3
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing	❌	❌	✅	✅	❌	❌	✅	3
Learning List-Level Domain-Invariant Representations for Ranking	❌	❌	✅	✅	✅	❌	✅	4
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation	❌	✅	✅	✅	❌	❌	✅	4
Learning Mixtures of Gaussians Using the DDPM Objective	✅	❌	❌	❌	❌	❌	❌	1
Learning Modulated Transformation in GANs	❌	✅	✅	❌	✅	❌	✅	4
Learning Motion Refinement for Unsupervised Face Animation	❌	✅	✅	❌	✅	❌	✅	4
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations	✅	❌	❌	❌	❌	❌	❌	1
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors	❌	✅	✅	❌	❌	❌	✅	3
Learning Nonparametric Latent Causal Graphs with Unknown Interventions	✅	❌	❌	❌	❌	❌	✅	2
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance	❌	✅	✅	❌	✅	✅	✅	5
Learning Provably Robust Estimators for Inverse Problems via Jittering	❌	✅	✅	✅	✅	❌	✅	5
Learning Rate Free Sampling in Constrained Domains	✅	✅	✅	❌	✅	❌	✅	5
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution	✅	❌	✅	✅	✅	❌	✅	5
Learning Regularized Monotone Graphon Mean-Field Games	✅	❌	✅	❌	❌	❌	❌	2
Learning Reliable Logical Rules with SATNet	❌	❌	✅	✅	✅	✅	✅	5
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer	❌	✅	✅	✅	✅	❌	✅	5
Learning Robust Statistics for Simulation-based Inference under Model Misspecification	❌	✅	❌	❌	✅	❌	✅	3
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction	❌	✅	✅	❌	✅	❌	✅	4
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction	❌	❌	✅	❌	❌	❌	✅	2
Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping	❌	✅	✅	✅	✅	❌	✅	5
Learning Shared Safety Constraints from Multi-task Demonstrations	✅	✅	✅	❌	✅	❌	✅	5
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States	❌	✅	✅	✅	✅	❌	✅	5
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Learning To Dive In Branch And Bound	✅	✅	✅	✅	✅	✅	✅	7
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling	❌	✅	✅	❌	✅	❌	✅	4
Learning Trajectories are Generalization Indicators	❌	❌	✅	❌	❌	❌	✅	2
Learning Transformer Programs	❌	✅	✅	✅	✅	❌	✅	5
Learning Universal Policies via Text-Guided Video Generation	❌	❌	✅	❌	✅	❌	✅	3
Learning Unseen Modality Interaction	❌	✅	✅	✅	✅	❌	✅	5
Learning Visual Prior via Generative Pre-Training	❌	❌	✅	✅	✅	❌	✅	4
Learning World Models with Identifiable Factorization	✅	✅	✅	❌	✅	✅	✅	6
Learning a 1-layer conditional generative model in total variation	❌	✅	❌	❌	❌	❌	✅	2
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs	❌	✅	❌	❌	❌	❌	✅	2
Learning and Collusion in Multi-unit Auctions	✅	❌	❌	❌	❌	❌	❌	1
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits	❌	❌	✅	✅	❌	✅	✅	4
Learning better with Dale’s Law: A Spectral Perspective	❌	❌	✅	❌	✅	✅	✅	4
Learning from Active Human Involvement through Proxy Value Propagation	❌	✅	✅	✅	✅	❌	✅	5
Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion	✅	✅	✅	✅	✅	✅	✅	7
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer	✅	✅	✅	❌	✅	❌	✅	5
Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective	✅	❌	❌	❌	❌	❌	✅	2
Learning non-Markovian Decision-Making from State-only Sequences	✅	✅	❌	❌	✅	✅	✅	5
Learning the Efficient Frontier	✅	❌	❌	✅	✅	❌	✅	4
Learning threshold neurons via edge of stability	❌	❌	✅	❌	❌	❌	✅	2
Learning to Augment Distributions for Out-of-distribution Detection	✅	✅	✅	❌	❌	❌	✅	4
Learning to Compress Prompts with Gist Tokens	✅	✅	✅	✅	✅	✅	✅	7
Learning to Configure Separators in Branch-and-Cut	✅	✅	✅	✅	❌	❌	✅	5
Learning to Discover Skills through Guidance	✅	✅	✅	❌	✅	❌	✅	5
Learning to Group Auxiliary Datasets for Molecule	✅	✅	✅	✅	✅	✅	✅	7
Learning to Influence Human Behavior with Offline Reinforcement Learning	❌	❌	❌	❌	❌	❌	❌	0
Learning to Modulate pre-trained Models in RL	❌	✅	✅	❌	✅	❌	✅	4
Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Learning to Reason and Memorize with Self-Notes	❌	❌	✅	✅	✅	✅	✅	5
Learning to Receive Help: Intervention-Aware Concept Embedding Models	❌	✅	✅	✅	✅	✅	✅	6
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt	✅	✅	✅	❌	✅	❌	✅	5
Learning to Tokenize for Generative Retrieval	❌	✅	✅	❌	❌	✅	✅	4
Learning via Wasserstein-Based High Probability Generalisation Bounds	✅	✅	✅	❌	❌	❌	✅	4
Learning with Explanation Constraints	✅	❌	✅	❌	❌	❌	✅	3
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification	❌	✅	✅	✅	✅	❌	✅	5
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition	❌	✅	✅	❌	✅	❌	✅	4
Lending Interaction Wings to Recommender Systems with Conversational Agents	✅	❌	✅	❌	✅	❌	✅	4
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets	✅	✅	✅	✅	✅	❌	✅	6
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis	✅	❌	✅	❌	❌	❌	✅	3
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression	✅	✅	✅	❌	✅	❌	✅	5
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning	❌	✅	✅	❌	❌	❌	✅	3
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Leveraging sparse and shared feature activations for disentangled representation learning	✅	❌	✅	✅	❌	❌	✅	4
Leveraging the two-timescale regime to demonstrate convergence of neural networks	❌	✅	❌	❌	❌	❌	✅	2
Lexinvariant Language Models	❌	❌	✅	❌	✅	❌	✅	3
Lie Point Symmetry and Physics-Informed Networks	✅	✅	❌	✅	❌	❌	✅	4
Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory	✅	✅	✅	✅	✅	❌	✅	6
LightSpeed: Light and Fast Neural Light Fields on Mobile Devices	❌	✅	✅	❌	✅	❌	✅	4
Lightweight Vision Transformer with Bidirectional Interaction	❌	❌	✅	✅	✅	❌	✅	4
Likelihood Ratio Confidence Sets for Sequential Decision Making	✅	❌	✅	❌	❌	❌	✅	3
Likelihood-Based Diffusion Language Models	❌	✅	✅	❌	✅	❌	✅	4
Limits, approximation and size transferability for GNNs on sparse graphs via graphops	❌	❌	❌	❌	❌	❌	✅	1
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference	✅	✅	✅	✅	✅	✅	✅	7
Linear Time Algorithms for k-means with Multi-Swap Local Search	✅	❌	✅	❌	✅	❌	✅	4
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment	❌	✅	✅	❌	✅	❌	✅	4
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion	✅	✅	✅	✅	✅	❌	✅	6
List and Certificate Complexities in Replicable Learning	✅	❌	❌	❌	❌	❌	❌	1
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning	❌	✅	✅	✅	✅	❌	✅	5
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices	❌	✅	❌	❌	❌	❌	✅	2
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search	✅	✅	✅	✅	❌	❌	✅	5
Locality-Aware Generalizable Implicit Neural Representation	❌	✅	✅	✅	✅	❌	✅	5
Localized Symbolic Knowledge Distillation for Visual Commonsense Models	❌	❌	✅	❌	✅	❌	✅	3
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning	✅	❌	✅	❌	✅	❌	✅	4
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training	✅	✅	✅	✅	✅	❌	✅	6
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees	❌	✅	✅	❌	❌	❌	✅	3
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games	✅	❌	❌	❌	❌	❌	❌	1
Long Sequence Hopfield Memory	❌	✅	✅	❌	✅	❌	✅	4
Long-Term Fairness with Unknown Dynamics	✅	❌	✅	❌	✅	❌	✅	4
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL	✅	✅	✅	✅	❌	❌	✅	5
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos	❌	✅	✅	✅	✅	❌	✅	5
Lookaround Optimizer: $k$ steps around, 1 step average	✅	✅	✅	✅	❌	❌	✅	5
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping	❌	❌	✅	✅	✅	❌	✅	4
Loss Decoupling for Task-Agnostic Continual Learning	✅	❌	✅	✅	❌	❌	✅	4
Loss Dynamics of Temporal Difference Reinforcement Learning	❌	✅	❌	❌	✅	❌	✅	3
Lossy Image Compression with Conditional Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Lovász Principle for Unsupervised Graph Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Low Tensor Rank Learning of Neural Dynamics	✅	✅	❌	✅	✅	❌	✅	5
Lower Bounds on Adaptive Sensing for Matrix Recovery	❌	❌	❌	❌	❌	❌	❌	0
LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation	❌	❌	❌	❌	❌	❌	❌	0
MADG: Margin-based Adversarial Learning for Domain Generalization	✅	❌	✅	✅	❌	❌	✅	4
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network	✅	✅	✅	✅	❌	❌	✅	5
MAViL: Masked Audio-Video Learners	❌	✅	✅	❌	✅	❌	✅	4
MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory	❌	✅	✅	✅	✅	❌	✅	5
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers	✅	❌	✅	❌	❌	❌	✅	3
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection	✅	❌	✅	✅	✅	❌	✅	5
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers	❌	❌	✅	❌	✅	❌	✅	3
MGDD: A Meta Generator for Fast Dataset Distillation	✅	❌	✅	❌	✅	❌	✅	4
MIM4DD: Mutual Information Maximization for Dataset Distillation	❌	✅	✅	❌	❌	❌	✅	3
MIMEx: Intrinsic Rewards from Masked Input Modeling	❌	✅	✅	❌	✅	❌	✅	4
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition	❌	✅	✅	❌	❌	❌	✅	3
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates	✅	✅	✅	✅	✅	❌	✅	6
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting	❌	✅	✅	❌	✅	❌	✅	4
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability	❌	✅	✅	❌	✅	❌	✅	4
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Machine learning detects terminal singularities	✅	✅	✅	✅	❌	✅	✅	6
Macro Placement by Wire-Mask-Guided Black-Box Optimization	✅	✅	✅	❌	✅	❌	✅	5
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Making Scalable Meta Learning Practical	❌	✅	✅	✅	✅	❌	✅	5
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off	❌	✅	✅	❌	✅	✅	✅	5
Many-body Approximation for Non-negative Tensors	✅	❌	✅	❌	✅	❌	✅	4
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits	❌	✅	✅	❌	✅	❌	✅	4
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack	✅	✅	✅	✅	✅	✅	✅	7
MarioGPT: Open-Ended Text2Level Generation through Large Language Models	❌	✅	✅	❌	✅	❌	✅	4
Markovian Sliced Wasserstein Distances: Beyond Independent Projections	✅	✅	✅	❌	❌	❌	✅	4
Mask Propagation for Efficient Video Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Masked Image Residual Learning for Scaling Deeper Vision Transformers	❌	✅	✅	✅	❌	❌	✅	4
Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction	❌	✅	✅	❌	❌	❌	✅	3
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning	✅	❌	✅	❌	✅	❌	✅	4
Mass-Producing Failures of Multimodal Systems with Language Models	✅	✅	✅	❌	❌	✅	✅	5
MathNAS: If Blocks Have a Role in Mathematical Architecture Design	✅	✅	✅	✅	✅	❌	❌	5
Matrix Compression via Randomized Low Rank and Low Precision Factorization	✅	✅	✅	❌	✅	❌	✅	5
Max-Margin Token Selection in Attention Mechanism	❌	✅	✅	❌	❌	❌	✅	3
Max-Sliced Mutual Information	❌	❌	✅	❌	✅	❌	✅	3
Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness	✅	✅	✅	✅	✅	❌	✅	6
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration	✅	✅	✅	❌	❌	❌	❌	3
Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits	✅	✅	❌	❌	❌	❌	✅	3
Maximum Independent Set: Self-Training through Dynamic Programming	✅	✅	✅	✅	✅	✅	✅	7
Maximum State Entropy Exploration using Predecessor and Successor Representations	✅	✅	✅	❌	✅	❌	✅	5
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations	❌	❌	✅	✅	✅	❌	✅	4
MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation	✅	✅	✅	❌	✅	❌	✅	5
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy	✅	✅	✅	✅	✅	❌	✅	6
Mechanic: A Learning Rate Tuner	✅	❌	✅	❌	❌	❌	✅	3
Mechanism Design for Collaborative Normal Mean Estimation	✅	❌	❌	❌	❌	❌	❌	1
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias	❌	✅	✅	✅	✅	❌	✅	5
Meek Separators and Their Applications in Targeted Causal Discovery	✅	✅	❌	❌	❌	❌	✅	3
Meet in the Middle: A New Pre-training Paradigm	❌	✅	✅	❌	❌	❌	✅	3
Memory Efficient Optimizers with 4-bit States	✅	✅	✅	❌	✅	❌	✅	5
Memory-Constrained Algorithms for Convex Optimization	✅	❌	❌	❌	❌	❌	❌	1
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization	❌	❌	✅	❌	✅	❌	✅	3
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning	✅	❌	✅	✅	✅	❌	✅	5
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model	❌	❌	✅	✅	✅	❌	✅	4
Meta-Learning Adversarial Bandit Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Meta-Learning with Neural Bandit Scheduler	✅	✅	✅	✅	✅	❌	✅	6
Meta-in-context learning in large language models	❌	❌	✅	❌	❌	❌	✅	2
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference	❌	❌	❌	❌	❌	❌	✅	1
Metis: Understanding and Enhancing In-Network Regular Expressions	❌	✅	❌	✅	✅	❌	✅	4
Metropolis Sampling for Constrained Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation	❌	✅	✅	✅	✅	❌	✅	5
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension	❌	✅	✅	❌	❌	❌	✅	3
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees	✅	✅	✅	❌	❌	❌	✅	4
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models	❌	❌	❌	❌	❌	❌	✅	1
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy	✅	❌	✅	❌	❌	❌	✅	3
Minimax-Optimal Location Estimation	✅	❌	❌	❌	❌	❌	✅	2
Minimum Description Length and Generalization Guarantees for Representation Learning	❌	✅	✅	✅	✅	✅	✅	6
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias	❌	❌	❌	❌	❌	❌	✅	1
Minimum-Risk Recalibration of Classifiers	❌	✅	❌	❌	❌	❌	✅	2
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields	❌	✅	✅	❌	✅	❌	✅	4
Mirror Diffusion Models for Constrained and Watermarked Generation	❌	❌	✅	❌	✅	❌	✅	3
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals	❌	✅	✅	✅	❌	❌	✅	4
Mitigating Source Bias for Fairer Weak Supervision	✅	✅	✅	❌	❌	❌	❌	3
Mitigating Test-Time Bias for Fair Image Retrieval	✅	✅	✅	✅	✅	✅	✅	7
Mitigating the Effect of Incidental Correlations on Part-based Learning	❌	✅	✅	✅	✅	❌	✅	5
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective	❌	✅	✅	✅	❌	❌	✅	4
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models	❌	❌	❌	❌	❌	❌	✅	1
MixFormerV2: Efficient Fully Transformer Tracking	❌	✅	✅	❌	✅	✅	✅	5
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams	❌	❌	❌	❌	❌	❌	❌	0
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation	✅	❌	✅	❌	❌	❌	❌	2
Mnemosyne: Learning to Train Transformers with Transformers	❌	❌	✅	❌	✅	❌	✅	3
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks	❌	✅	✅	❌	❌	❌	❌	2
MoVie: Visual Model-Based Policy Adaptation for View Generalization	❌	✅	✅	❌	✅	❌	✅	4
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM	✅	❌	✅	✅	✅	❌	✅	5
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder	✅	✅	✅	✅	❌	❌	✅	5
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser	❌	✅	✅	✅	❌	❌	✅	4
Mode Connectivity in Auction Design	❌	❌	❌	❌	❌	❌	❌	0
Model Shapley: Equitable Model Valuation with Black-box Access	❌	✅	✅	✅	✅	❌	❌	4
Model Sparsity Can Simplify Machine Unlearning	❌	✅	✅	❌	❌	❌	✅	3
Model Spider: Learning to Rank Pre-Trained Models Efficiently	✅	✅	✅	✅	✅	❌	✅	6
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning	✅	❌	✅	✅	❌	❌	✅	4
Model-Based Control with Sparse Neural Dynamics	❌	❌	✅	❌	❌	✅	✅	3
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms	✅	✅	❌	❌	❌	❌	❌	2
Model-Free Active Exploration in Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient	✅	❌	❌	❌	❌	❌	❌	1
Model-enhanced Vector Index	❌	✅	✅	✅	✅	❌	✅	5
Model-free Posterior Sampling via Learning Rate Randomization	✅	❌	❌	❌	✅	❌	✅	3
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing	❌	✅	✅	✅	❌	❌	✅	4
Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network	❌	✅	✅	❌	❌	❌	❌	2
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder	✅	✅	✅	✅	❌	❌	✅	5
Modulated Neural ODEs	❌	✅	✅	✅	✅	❌	✅	5
Module-wise Adaptive Distillation for Multimodality Foundation Models	✅	❌	✅	✅	✅	❌	✅	5
Module-wise Training of Neural Networks via the Minimizing Movement Scheme	❌	✅	✅	❌	✅	❌	✅	4
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion	❌	❌	✅	✅	❌	❌	✅	3
Moment Matching Denoising Gibbs Sampling	✅	✅	✅	❌	✅	❌	✅	5
MomentDiff: Generative Video Moment Retrieval from Random to Real	✅	✅	✅	✅	✅	❌	✅	6
Momentum Provably Improves Error Feedback!	✅	❌	✅	❌	✅	❌	✅	4
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture	✅	✅	✅	✅	✅	❌	✅	6
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context	❌	✅	✅	❌	✅	❌	✅	4
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues	❌	✅	✅	✅	✅	❌	✅	5
Monte Carlo Tree Search with Boltzmann Exploration	❌	❌	✅	❌	✅	❌	✅	3
Moral Responsibility for AI Systems	❌	❌	❌	❌	❌	❌	❌	0
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining	❌	✅	✅	✅	✅	✅	✅	6
Most Neural Networks Are Almost Learnable	❌	❌	❌	❌	❌	❌	❌	0
MotionGPT: Human Motion as a Foreign Language	❌	✅	✅	❌	✅	❌	✅	4
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data	✅	✅	✅	❌	❌	❌	✅	4
Multi Time Scale World Models	❌	✅	✅	❌	❌	❌	✅	3
Multi-Agent First Order Constrained Optimization in Policy Space	✅	❌	✅	❌	✅	❌	✅	4
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits	✅	✅	✅	❌	❌	❌	✅	4
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity	✅	❌	❌	❌	❌	❌	✅	2
Multi-Fidelity Multi-Armed Bandits Revisited	✅	❌	✅	❌	❌	❌	✅	3
Multi-Head Adapter Routing for Cross-Task Generalization	❌	❌	✅	✅	✅	❌	✅	4
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations	✅	✅	✅	❌	❌	❌	❌	3
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization	❌	❌	✅	✅	✅	❌	✅	4
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems	✅	❌	✅	✅	✅	❌	✅	5
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions	✅	❌	❌	❌	❌	❌	❌	1
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation	❌	❌	✅	❌	✅	❌	✅	3
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models	✅	✅	✅	✅	✅	❌	✅	6
Multi-Swap k-Means++	❌	❌	✅	❌	✅	❌	✅	3
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation	❌	✅	✅	✅	❌	❌	❌	3
Multi-modal Queried Object Detection in the Wild	❌	✅	✅	✅	✅	❌	✅	5
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion	❌	❌	✅	❌	✅	❌	✅	3
Multi-scale Diffusion Denoised Smoothing	✅	✅	✅	✅	✅	❌	✅	6
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum	✅	✅	✅	✅	❌	❌	✅	5
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits	✅	❌	❌	❌	❌	❌	❌	1
Multi-task learning with summary statistics	❌	✅	✅	❌	❌	❌	✅	3
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation	❌	❌	✅	✅	❌	❌	✅	3
MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks	❌	✅	✅	✅	❌	❌	✅	4
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria	✅	❌	❌	❌	❌	❌	❌	1
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice	❌	✅	✅	✅	✅	✅	✅	6
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions	❌	✅	✅	❌	❌	❌	✅	3
Multiplication-Free Transformer Training via Piecewise Affine Operations	❌	✅	✅	✅	✅	❌	✅	5
Multiply Robust Federated Estimation of Targeted Average Treatment Effects	❌	❌	❌	✅	❌	✅	✅	3
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning	✅	✅	✅	❌	❌	❌	✅	4
Mutual Information Regularized Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Mutual-Information Regularized Multi-Agent Policy Iteration	❌	❌	✅	✅	✅	❌	✅	4
NAP: Neural 3D Articulated Object Prior	❌	❌	✅	✅	❌	❌	❌	2
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
NAS-X: Neural Adaptive Smoothing via Twisting	✅	❌	✅	❌	❌	❌	✅	3
NCDL: A Framework for Deep Learning on non-Cartesian Lattices	❌	✅	✅	❌	✅	❌	✅	4
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs	❌	✅	✅	✅	✅	❌	✅	5
NPCL: Neural Processes for Uncertainty-Aware Continual Learning	❌	✅	✅	✅	❌	❌	✅	4
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF	❌	✅	✅	✅	✅	❌	✅	5
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos	✅	✅	✅	❌	✅	❌	✅	5
Nash Regret Guarantees for Linear Bandits	✅	❌	❌	❌	❌	❌	✅	2
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation	✅	✅	❌	❌	✅	❌	✅	4
Natural Language Instruction-following with Task-related Language Development and Translation	✅	❌	✅	❌	❌	❌	✅	3
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection	✅	❌	✅	✅	❌	❌	✅	4
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment	❌	✅	✅	✅	✅	❌	✅	5
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering	✅	❌	✅	❌	✅	❌	✅	4
NeRF-IBVS: Visual Servo Based on NeRF for Visual Localization and Navigation	❌	❌	✅	❌	✅	❌	✅	3
Near Optimal Reconstruction of Spherical Harmonic Expansions	✅	❌	❌	❌	❌	❌	✅	2
Near-Linear Time Algorithm for the Chamfer Distance	✅	❌	✅	❌	✅	❌	✅	4
Near-Optimal $k$-Clustering in the Sliding Window Model	✅	❌	✅	❌	✅	❌	✅	4
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression	✅	❌	❌	❌	❌	❌	❌	1
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise	✅	❌	❌	❌	❌	❌	❌	1
Near-optimal learning with average Hölder smoothness	❌	❌	❌	❌	❌	❌	❌	0
Nearest Neighbour with Bandit Feedback	✅	❌	❌	❌	❌	❌	❌	1
Nearly Optimal Bounds for Cyclic Forgetting	❌	❌	❌	❌	❌	❌	❌	0
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives	❌	❌	❌	❌	❌	❌	❌	0
Nearly Tight Bounds For Differentially Private Multiway Cut	✅	❌	✅	❌	❌	❌	✅	3
Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming	✅	✅	✅	❌	✅	✅	✅	6
NetHack is Hard to Hack	❌	✅	✅	❌	✅	❌	✅	4
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining	❌	❌	✅	❌	✅	❌	✅	3
Neural (Tangent Kernel) Collapse	❌	✅	✅	❌	✅	❌	✅	4
Neural Algorithmic Reasoning Without Intermediate Supervision	❌	❌	✅	✅	✅	❌	✅	4
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb	❌	✅	✅	❌	✅	✅	✅	5
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization	❌	✅	✅	❌	✅	❌	✅	4
Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity	❌	✅	✅	❌	✅	❌	✅	4
Neural Fields with Hard Constraints of Arbitrary Differential Order	✅	✅	✅	❌	❌	❌	✅	4
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes	❌	❌	✅	✅	❌	❌	❌	2
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions	❌	✅	✅	✅	❌	❌	✅	4
Neural Functional Transformers	❌	✅	✅	✅	❌	❌	✅	4
Neural Graph Generation from Graph Statistics	❌	✅	✅	✅	❌	❌	❌	3
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning	❌	❌	✅	✅	❌	❌	✅	3
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations	✅	❌	❌	✅	❌	❌	✅	3
Neural Image Compression: Generalization, Robustness, and Spectral Biases	❌	✅	✅	✅	❌	❌	✅	4
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem	❌	❌	✅	❌	✅	❌	✅	3
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling	❌	❌	✅	❌	❌	❌	❌	1
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization	❌	❌	✅	❌	❌	❌	❌	1
Neural Lighting Simulation for Urban Scenes	❌	❌	✅	✅	✅	❌	✅	4
Neural Lyapunov Control for Discrete-Time Systems	✅	✅	✅	❌	✅	✅	✅	6
Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability	❌	❌	❌	❌	❌	❌	❌	0
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement	✅	✅	✅	❌	✅	❌	✅	5
Neural Oscillators are Universal	❌	❌	❌	❌	❌	❌	❌	0
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features	✅	✅	✅	✅	✅	❌	✅	6
Neural Priming for Sample-Efficient Adaptation	❌	✅	✅	✅	✅	✅	✅	6
Neural Processes with Stability	✅	❌	✅	❌	❌	❌	✅	3
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data	✅	✅	✅	✅	✅	❌	✅	6
Neural Sampling in Hierarchical Exponential-family Energy-based Models	❌	❌	✅	❌	❌	❌	❌	1
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis	✅	✅	✅	✅	✅	❌	✅	6
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions	❌	❌	✅	✅	❌	❌	✅	3
Neural-Logic Human-Object Interaction Detection	❌	✅	✅	❌	✅	❌	✅	4
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function	❌	✅	✅	❌	❌	❌	✅	3
Neuro-symbolic Learning Yielding Logical Constraints	✅	✅	✅	❌	✅	❌	✅	5
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries	❌	✅	✅	❌	✅	❌	✅	4
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances	✅	❌	❌	❌	❌	❌	❌	1
New Complexity-Theoretic Frontiers of Tractability for Neural Network Training	❌	❌	❌	❌	❌	❌	❌	0
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems	✅	✅	✅	❌	✅	❌	✅	5
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning	✅	❌	✅	❌	❌	❌	✅	3
No Representation Rules Them All in Category Discovery	✅	❌	✅	✅	✅	❌	✅	5
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models	✅	✅	✅	✅	✅	✅	✅	7
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand	✅	❌	❌	❌	❌	❌	✅	2
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling	✅	❌	❌	❌	❌	❌	❌	1
No-Regret Online Prediction with Strategic Experts	✅	❌	✅	❌	❌	❌	✅	3
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions	✅	❌	❌	❌	❌	❌	❌	1
No-regret Algorithms for Fair Resource Allocation	✅	✅	✅	❌	❌	❌	✅	4
Noether Embedding: Efficient Learning of Temporal Regularities	❌	✅	✅	❌	✅	❌	✅	4
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits	✅	❌	❌	❌	❌	❌	✅	2
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction	✅	✅	✅	❌	✅	❌	✅	5
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm	✅	❌	❌	❌	❌	❌	✅	2
Non-Convex Bilevel Optimization with Time-Varying Objective Functions	✅	❌	❌	✅	❌	❌	✅	3
Non-Rigid Shape Registration via Deep Functional Maps Prior	✅	✅	✅	❌	❌	❌	✅	4
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization	✅	❌	✅	✅	❌	❌	✅	4
Non-Stationary Bandits with Auto-Regressive Temporal Dependency	✅	❌	✅	❌	❌	❌	✅	3
Non-adversarial training of Neural SDEs with signature kernel scores	❌	❌	✅	✅	✅	❌	✅	4
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar	✅	✅	✅	✅	✅	❌	✅	6
Non-stationary Experimental Design under Linear Trends	✅	❌	❌	❌	❌	❌	❌	1
Nonparametric Boundary Geometry in Physics Informed Deep Learning	❌	❌	✅	❌	✅	❌	✅	3
Nonparametric Identifiability of Causal Representations from Unknown Interventions	❌	✅	❌	✅	❌	❌	✅	3
Nonparametric Teaching for Multiple Learners	✅	✅	❌	❌	✅	❌	✅	4
Norm-based Generalization Bounds for Sparse Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
Norm-guided latent space exploration for text-to-image generation	❌	❌	✅	✅	✅	❌	✅	4
Normalization Layers Are All That Sharpness-Aware Minimization Needs	❌	✅	✅	❌	✅	❌	✅	4
Normalization-Equivariant Neural Networks with Application to Image Denoising	❌	✅	✅	✅	✅	❌	✅	5
Normalizing flow neural networks by JKO scheme	✅	✅	✅	❌	✅	❌	✅	5
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts	❌	✅	✅	✅	✅	✅	✅	6
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning	❌	✅	✅	✅	✅	❌	✅	5
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA	✅	✅	✅	✅	❌	❌	✅	5
OBJECT 3DIT: Language-guided 3D-aware Image Editing	❌	❌	✅	✅	✅	❌	✅	4
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs	✅	❌	✅	❌	✅	❌	✅	4
OKRidge: Scalable Optimal k-Sparse Ridge Regression	✅	✅	❌	✅	✅	✅	✅	6
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities	✅	✅	✅	✅	✅	❌	✅	6
Object-Centric Slot Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Object-centric Learning with Cyclic Walks between Parts and Whole	❌	✅	✅	✅	✅	❌	✅	5
Off-Policy Evaluation for Human Feedback	❌	✅	✅	❌	✅	❌	✅	4
Offline Imitation Learning with Variational Counterfactual Reasoning	✅	❌	✅	❌	❌	❌	❌	2
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage	✅	❌	❌	❌	❌	❌	❌	1
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization	✅	✅	✅	❌	✅	❌	✅	5
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs	❌	❌	✅	❌	❌	❌	❌	1
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management	❌	❌	✅	❌	✅	❌	✅	3
Offline Reinforcement Learning with Differential Privacy	✅	❌	✅	✅	❌	❌	✅	4
On Calibrating Diffusion Probabilistic Models	❌	✅	✅	❌	❌	❌	✅	3
On Certified Generalization in Structured Prediction	❌	❌	❌	❌	❌	❌	❌	0
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data	❌	✅	✅	✅	✅	❌	✅	5
On Computing Pairwise Statistics with Local Differential Privacy	❌	❌	❌	❌	❌	❌	❌	0
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy	❌	❌	❌	❌	❌	❌	✅	1
On Differentially Private Sampling from Gaussian and Product Distributions	✅	❌	❌	❌	❌	❌	❌	1
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes	❌	❌	❌	❌	❌	❌	❌	0
On Evaluating Adversarial Robustness of Large Vision-Language Models	✅	✅	✅	❌	✅	❌	✅	5
On Generalization Bounds for Projective Clustering	❌	❌	✅	❌	✅	❌	✅	3
On Imitation in Mean-field Games	❌	❌	❌	❌	❌	❌	✅	1
On Learning Latent Models with Multi-Instance Weak Supervision	❌	❌	✅	❌	❌	✅	✅	3
On Learning Necessary and Sufficient Causal Graphs	❌	❌	✅	❌	❌	❌	✅	2
On Masked Pre-training and the Marginal Likelihood	❌	✅	✅	❌	❌	❌	❌	2
On Measuring Fairness in Generative Models	✅	✅	✅	❌	❌	❌	✅	4
On Private and Robust Bandits	✅	❌	❌	❌	❌	❌	❌	1
On Proper Learnability between Average- and Worst-case Robustness	❌	❌	❌	❌	❌	❌	❌	0
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds	✅	❌	❌	❌	✅	❌	✅	3
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond	✅	❌	❌	❌	❌	❌	❌	1
On Separate Normalization in Self-supervised Transformers	❌	❌	✅	❌	❌	❌	✅	2
On Single-Index Models beyond Gaussian Data	❌	❌	❌	❌	❌	❌	✅	1
On Slicing Optimality for Mutual Information	✅	❌	✅	❌	❌	❌	✅	3
On Sparse Modern Hopfield Model	✅	✅	✅	✅	❌	❌	✅	5
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks	❌	✅	✅	✅	✅	❌	✅	5
On kernel-based statistical learning theory in the mean field limit	❌	❌	❌	❌	❌	❌	❌	0
On permutation symmetries in Bayesian neural network posteriors: a variational perspective	✅	❌	✅	❌	✅	❌	✅	4
On quantum backpropagation, information reuse, and cheating measurement collapse	✅	❌	❌	❌	❌	❌	❌	1
On skip connections and normalisation layers in deep optimisation	❌	✅	✅	❌	✅	❌	✅	4
On student-teacher deviations in distillation: does it pay to disobey?	❌	❌	✅	❌	✅	❌	✅	3
On the Ability of Graph Neural Networks to Model Interactions Between Vertices	✅	✅	✅	✅	✅	❌	✅	6
On the Adversarial Robustness of Out-of-distribution Generalization Models	✅	✅	✅	✅	❌	❌	✅	5
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay	❌	❌	❌	❌	❌	❌	✅	1
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence	✅	❌	❌	❌	✅	✅	✅	4
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness	❌	❌	✅	❌	❌	❌	❌	1
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis	❌	❌	❌	❌	❌	❌	❌	0
On the Constrained Time-Series Generation Problem	✅	❌	✅	❌	❌	✅	✅	4
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration	✅	❌	✅	❌	❌	❌	✅	3
On the Convergence of Black-Box Variational Inference	✅	❌	✅	❌	✅	❌	✅	4
On the Convergence of CART under Sufficient Impurity Decrease Condition	❌	❌	❌	❌	❌	❌	❌	0
On the Convergence of Encoder-only Shallow Transformers	✅	❌	✅	❌	❌	❌	✅	3
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games	❌	❌	❌	❌	❌	❌	✅	1
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms	✅	❌	✅	❌	❌	❌	✅	3
On the Exploitability of Instruction Tuning	❌	✅	✅	✅	✅	❌	✅	5
On the Exploration of Local Significant Differences For Two-Sample Test	✅	❌	✅	✅	✅	❌	✅	5
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis	✅	❌	❌	❌	❌	❌	❌	1
On the Generalization Properties of Diffusion Models	❌	✅	✅	❌	❌	❌	✅	3
On the Gini-impurity Preservation For Privacy Random Forests	✅	❌	✅	✅	✅	❌	✅	5
On the Identifiability and Interpretability of Gaussian Process Models	❌	❌	✅	❌	❌	❌	❌	1
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity	✅	❌	❌	❌	❌	✅	✅	3
On the Implicit Bias of Linear Equivariant Steerable Networks	❌	❌	❌	❌	❌	❌	❌	0
On the Importance of Exploration for Generalization in Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error	✅	❌	✅	❌	❌	❌	✅	3
On the Interplay between Social Welfare and Tractability of Equilibria	❌	❌	❌	❌	❌	❌	✅	1
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails	❌	❌	❌	❌	❌	❌	✅	1
On the Learnability of Multilabel Ranking	✅	❌	❌	❌	❌	❌	❌	1
On the Minimax Regret for Online Learning with Feedback Graphs	✅	❌	❌	❌	❌	❌	❌	1
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective	✅	✅	✅	❌	✅	❌	✅	5
On the Overlooked Structure of Stochastic Gradients	❌	❌	✅	❌	✅	❌	✅	3
On the Pareto Front of Multilingual Neural Machine Translation	❌	✅	✅	❌	❌	❌	✅	3
On the Planning Abilities of Large Language Models - A Critical Investigation	❌	✅	✅	✅	❌	❌	✅	4
On the Power of SVD in the Stochastic Block Model	✅	❌	❌	❌	❌	❌	❌	1
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection	❌	✅	✅	✅	❌	❌	✅	4
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions	❌	❌	✅	❌	❌	❌	✅	2
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations	❌	✅	✅	❌	✅	❌	✅	4
On the Robustness of Mechanism Design under Total Variation Distance	❌	❌	❌	❌	❌	❌	❌	0
On the Robustness of Removal-Based Feature Attributions	❌	✅	✅	✅	✅	❌	✅	5
On the Role of Entanglement and Statistics in Learning	❌	❌	❌	❌	❌	❌	❌	0
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences	❌	❌	❌	❌	❌	❌	❌	0
On the Role of Randomization in Adversarially Robust Classification	❌	❌	❌	❌	❌	❌	❌	0
On the Size and Approximation Error of Distilled Datasets	❌	✅	✅	❌	❌	❌	✅	3
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm	✅	✅	✅	❌	✅	❌	✅	5
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making	❌	❌	❌	❌	❌	❌	✅	1
On the Sublinear Regret of GP-UCB	✅	❌	❌	❌	❌	❌	❌	1
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training	❌	❌	✅	✅	✅	❌	✅	4
On the Variance, Admissibility, and Stability of Empirical Risk Minimization	❌	❌	❌	❌	❌	❌	❌	0
On the choice of Perception Loss Function for Learned Video Compression	❌	❌	✅	❌	✅	❌	✅	3
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective	❌	✅	✅	❌	❌	❌	✅	3
On the impact of activation and normalization in obtaining isometric embeddings at initialization	❌	✅	✅	❌	✅	❌	✅	4
On the spectral bias of two-layer linear networks	❌	❌	✅	❌	✅	❌	✅	3
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models	❌	✅	✅	✅	✅	❌	❌	4
One Fits All: Power General Time Series Analysis by Pretrained LM	❌	✅	✅	✅	✅	❌	✅	5
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning	✅	✅	✅	❌	❌	❌	✅	4
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization	❌	❌	✅	❌	✅	❌	✅	3
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models	✅	❌	✅	✅	✅	❌	✅	5
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
One-Step Diffusion Distillation via Deep Equilibrium Models	❌	✅	✅	❌	✅	❌	✅	4
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation	❌	✅	✅	✅	❌	❌	✅	4
One-step differentiation of iterative algorithms	✅	❌	✅	❌	❌	❌	✅	3
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling	✅	✅	✅	❌	✅	❌	✅	5
Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost	✅	❌	❌	❌	✅	❌	✅	3
Online Ad Allocation with Predictions	✅	❌	✅	❌	❌	❌	✅	3
Online Ad Procurement in Non-stationary Autobidding Worlds	✅	❌	❌	❌	❌	❌	❌	1
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations	✅	✅	❌	❌	❌	❌	✅	3
Online Clustering of Bandits with Misspecified User Models	✅	❌	✅	❌	❌	❌	✅	3
Online Constrained Meta-Learning: Provable Guarantees for Generalization	✅	❌	✅	❌	❌	❌	✅	3
Online Control for Meta-optimization	✅	❌	✅	❌	❌	❌	✅	3
Online Convex Optimization with Unbounded Memory	✅	✅	❌	❌	❌	❌	✅	3
Online Corrupted User Detection and Regret Minimization	✅	❌	✅	❌	❌	❌	✅	3
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization	✅	✅	✅	❌	❌	❌	✅	4
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms	✅	✅	✅	✅	❌	❌	✅	5
Online Learning under Adversarial Nonlinear Constraints	✅	❌	❌	❌	✅	✅	✅	4
Online List Labeling with Predictions	❌	❌	✅	✅	❌	❌	✅	3
Online Map Vectorization for Autonomous Driving: A Rasterization Perspective	❌	✅	✅	✅	✅	❌	✅	5
Online Nonstochastic Model-Free Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Online PCA in Converging Self-consistent Field Equations	✅	❌	✅	❌	❌	❌	✅	3
Online POMDP Planning with Anytime Deterministic Guarantees	✅	✅	✅	❌	✅	❌	✅	5
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games	✅	❌	❌	❌	✅	❌	✅	3
Online Pricing for Multi-User Multi-Item Markets	✅	❌	❌	❌	❌	❌	✅	2
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore	✅	❌	❌	❌	❌	❌	❌	1
Online learning of long-range dependencies	❌	❌	✅	✅	✅	❌	✅	4
Online robust non-stationary estimation	✅	❌	✅	❌	❌	❌	✅	3
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation	❌	❌	✅	❌	✅	❌	✅	3
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting	❌	❌	✅	✅	✅	❌	✅	4
OpenMask3D: Open-Vocabulary 3D Instance Segmentation	✅	✅	✅	✅	❌	❌	✅	5
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding	❌	✅	✅	❌	✅	❌	✅	4
Opening the Vocabulary of Egocentric Actions	❌	❌	✅	❌	❌	❌	✅	2
Operation-Level Early Stopping for Robustifying Differentiable NAS	✅	✅	✅	✅	❌	❌	✅	5
Operator Learning with Neural Fields: Tackling PDEs on General Geometries	✅	✅	✅	✅	✅	❌	✅	6
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model	❌	❌	❌	❌	❌	❌	❌	0
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning	✅	❌	✅	❌	❌	❌	❌	2
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes	❌	❌	❌	❌	❌	❌	✅	1
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression	❌	❌	❌	❌	❌	❌	❌	0
Optimal Exploration for Model-Based RL in Nonlinear Systems	✅	✅	❌	❌	✅	❌	✅	4
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure	✅	❌	❌	❌	❌	❌	❌	1
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization	✅	❌	❌	❌	❌	❌	✅	2
Optimal Learners for Realizable Regression: PAC Learning and Online Learning	✅	❌	❌	❌	❌	❌	❌	1
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection	✅	❌	✅	✅	❌	❌	✅	4
Optimal Preconditioning and Fisher Adaptive Langevin Sampling	✅	❌	✅	❌	❌	❌	✅	3
Optimal Rates for Bandit Nonstochastic Control	✅	❌	❌	❌	❌	❌	❌	1
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework	✅	✅	❌	❌	❌	❌	✅	3
Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model	✅	❌	✅	❌	✅	✅	✅	5
Optimal Transport Model Distributional Robustness	❌	✅	✅	❌	❌	❌	✅	3
Optimal Transport for Treatment Effect Estimation	✅	❌	✅	❌	❌	❌	✅	3
Optimal Transport-Guided Conditional Score-Based Diffusion Model	✅	✅	✅	❌	❌	❌	✅	4
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making	✅	✅	❌	❌	❌	❌	✅	3
Optimal Treatment Regimes for Proximal Causal Learning	❌	❌	✅	✅	❌	❌	✅	3
Optimal Unbiased Randomizers for Regression with Label Differential Privacy	✅	❌	✅	✅	✅	❌	✅	5
Optimal and Fair Encouragement Policy Evaluation and Learning	✅	❌	✅	✅	❌	❌	❌	3
Optimal approximation using complex-valued neural networks	❌	❌	❌	❌	❌	❌	❌	0
Optimal cross-learning for contextual bandits with unknown context distributions	✅	❌	❌	❌	❌	❌	❌	1
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning	❌	❌	✅	✅	✅	❌	✅	4
Optimal testing using combined test statistics across independent studies	❌	❌	❌	❌	❌	❌	✅	1
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments	✅	❌	❌	❌	❌	❌	❌	1
Optimality of Message-Passing Architectures for Sparse Graphs	✅	❌	❌	❌	❌	❌	❌	1
Optimistic Active Exploration of Dynamical Systems	✅	✅	✅	❌	❌	❌	✅	4
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates	✅	✅	✅	❌	✅	❌	✅	5
Optimistic Meta-Gradients	✅	❌	✅	❌	❌	❌	✅	3
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL	✅	❌	❌	❌	❌	❌	❌	1
Optimistic Rates for Multi-Task Representation Learning	❌	❌	❌	❌	❌	❌	❌	0
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Optimization of Inter-group criteria for clustering with minimum size constraints	✅	✅	✅	❌	✅	❌	✅	5
Optimization or Architecture: How to Hack Kalman Filtering	✅	✅	✅	❌	✅	❌	✅	5
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal	✅	✅	✅	✅	✅	✅	✅	7
Optimized Covariance Design for AB Test on Social Network under Interference	✅	✅	✅	❌	❌	❌	✅	4
Optimizing Prompts for Text-to-Image Generation	❌	❌	✅	❌	✅	❌	✅	3
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method	❌	✅	❌	❌	❌	❌	✅	2
Optimizing over trained GNNs via symmetry breaking	✅	✅	✅	✅	✅	✅	✅	7
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization	✅	❌	✅	✅	✅	✅	✅	6
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning	❌	❌	✅	✅	❌	❌	✅	3
Ordering-based Conditions for Global Convergence of Policy Gradient Methods	✅	❌	❌	❌	❌	❌	✅	2
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering	✅	✅	✅	❌	✅	❌	✅	5
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources	✅	✅	✅	✅	❌	❌	✅	5
Outlier-Robust Gromov-Wasserstein for Graph Data	❌	✅	✅	❌	✅	❌	✅	4
Outlier-Robust Wasserstein DRO	❌	✅	✅	❌	✅	✅	❌	4
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation	✅	✅	✅	✅	✅	❌	✅	6
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting	❌	✅	✅	❌	✅	❌	✅	4
PAC Learning Linear Thresholds from Label Proportions	✅	✅	❌	❌	✅	❌	✅	4
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction	✅	✅	✅	✅	✅	❌	✅	6
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization	❌	❌	✅	❌	❌	❌	❌	1
PAPR: Proximity Attention Point Rendering	✅	✅	✅	✅	✅	❌	✅	6
PCF-GAN: generating sequential data via the characteristic function of measures on the path space	✅	✅	✅	❌	✅	✅	✅	6
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers	✅	✅	✅	✅	✅	✅	✅	7
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation	❌	❌	✅	❌	✅	❌	✅	3
PDP: Parameter-free Differentiable Pruning is All You Need	✅	❌	✅	✅	✅	❌	✅	5
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis	❌	❌	✅	✅	✅	❌	✅	4
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems	❌	❌	✅	✅	✅	❌	✅	4
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance	✅	✅	✅	❌	✅	❌	✅	5
PHOTOSWAP: Personalized Subject Swapping in Images	✅	❌	❌	❌	✅	✅	✅	4
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification	✅	✅	❌	✅	❌	❌	✅	4
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks	❌	✅	✅	✅	✅	❌	✅	5
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model	❌	❌	✅	✅	✅	❌	✅	4
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
POMDP Planning for Object Search in Partially Unknown Environment	✅	❌	❌	❌	✅	❌	✅	3
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images	❌	✅	✅	✅	✅	❌	✅	5
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection	✅	✅	✅	✅	✅	❌	✅	6
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds	❌	✅	✅	✅	✅	❌	✅	5
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.	✅	✅	✅	❌	❌	❌	✅	4
PRODIGY: Enabling In-context Learning Over Graphs	❌	❌	✅	✅	✅	❌	✅	4
PROTES: Probabilistic Optimization with Tensor Sampling	✅	✅	✅	❌	❌	❌	✅	4
PTQD: Accurate Post-Training Quantization for Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising	❌	✅	✅	✅	✅	✅	✅	6
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference	✅	✅	✅	❌	❌	❌	✅	4
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile	✅	✅	✅	❌	✅	❌	✅	5
PaintSeg: Painting Pixels for Training-free Segmentation	❌	✅	✅	❌	❌	❌	✅	3
Pairwise Causality Guided Transformers for Event Sequences	❌	❌	✅	✅	❌	❌	❌	2
PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas	❌	✅	✅	❌	❌	❌	✅	3
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation	❌	❌	✅	✅	✅	✅	✅	5
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP	✅	❌	✅	✅	❌	❌	❌	3
Parallel Sampling of Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies	❌	✅	✅	❌	❌	❌	✅	3
Parallel Submodular Function Minimization	✅	❌	❌	❌	❌	❌	❌	1
Parallel-mentoring for Offline Model-based Optimization	✅	✅	✅	❌	✅	❌	✅	5
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models	✅	✅	✅	✅	✅	❌	✅	6
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model	❌	✅	✅	✅	✅	❌	✅	5
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing	✅	✅	✅	✅	✅	❌	✅	6
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition	✅	✅	✅	❌	✅	❌	✅	5
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense	❌	✅	✅	✅	✅	❌	✅	5
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck	❌	❌	✅	❌	❌	❌	❌	1
Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions	✅	✅	✅	❌	✅	❌	✅	5
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model	✅	✅	✅	❌	✅	❌	✅	5
Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage	✅	✅	✅	✅	❌	❌	✅	5
Partial Matrix Completion	✅	❌	✅	❌	❌	❌	❌	2
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation	✅	✅	✅	✅	✅	❌	✅	6
Participatory Personalization in Classification	✅	✅	✅	✅	❌	❌	❌	4
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow	✅	✅	✅	✅	❌	❌	✅	5
Parts of Speech–Grounded Subspaces in Vision-Language Models	❌	❌	✅	❌	✅	❌	✅	3
Passive learning of active causal strategies in agents and language models	❌	❌	❌	❌	❌	❌	❌	0
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution	❌	❌	✅	❌	✅	❌	✅	3
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks	❌	❌	✅	✅	✅	✅	✅	5
Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee	✅	❌	✅	❌	❌	❌	✅	3
Paxion: Patching Action Knowledge in Video-Language Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games	✅	❌	❌	❌	❌	❌	✅	2
Penalising the biases in norm regularisation enforces sparsity	❌	✅	❌	❌	❌	❌	✅	2
Pengi: An Audio Language Model for Audio Tasks	❌	✅	✅	✅	✅	❌	✅	5
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference	❌	✅	✅	❌	✅	✅	✅	5
Percentile Criterion Optimization in Offline Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint	✅	✅	❌	❌	❌	❌	❌	2
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning	✅	✅	❌	❌	❌	❌	✅	3
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources	✅	✅	✅	❌	❌	❌	✅	4
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex	❌	✅	✅	✅	✅	✅	✅	6
Permutation Equivariant Neural Functionals	✅	✅	✅	✅	✅	❌	✅	6
Personalized Dictionary Learning for Heterogeneous Datasets	✅	❌	✅	❌	✅	✅	✅	5
Persuading Farsighted Receivers in MDPs: the Power of Honesty	✅	❌	❌	❌	❌	❌	❌	1
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability	✅	✅	✅	✅	✅	❌	✅	6
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width	❌	✅	✅	❌	✅	❌	✅	4
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation	✅	✅	✅	❌	❌	❌	✅	4
Physics-Informed Bayesian Optimization of Variational Quantum Circuits	✅	✅	❌	❌	✅	❌	✅	4
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation	❌	✅	✅	✅	✅	❌	✅	5
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion	✅	❌	✅	❌	❌	❌	✅	3
PlanE: Representation Learning over Planar Graphs	❌	✅	✅	✅	✅	❌	✅	5
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication	❌	✅	✅	❌	✅	❌	✅	4
PoET: A generative model of protein families as sequences-of-sequences	✅	✅	✅	✅	✅	❌	✅	6
Point Cloud Completion with Pretrained Text-to-Image Diffusion Models	❌	✅	✅	❌	✅	✅	✅	5
PointGPT: Auto-regressively Generative Pre-training from Point Clouds	❌	✅	✅	❌	❌	❌	✅	3
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior	❌	❌	✅	❌	✅	❌	✅	3
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data	✅	❌	❌	❌	❌	❌	❌	1
Policy Gradient for Rectangular Robust Markov Decision Processes	✅	✅	❌	❌	✅	❌	✅	4
Policy Optimization for Continuous Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control	✅	✅	✅	❌	❌	❌	✅	4
Policy Space Diversity for Non-Transitive Games	✅	✅	✅	❌	❌	❌	✅	4
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Polyhedron Attention Module: Learning Adaptive-order Interactions	✅	❌	✅	✅	❌	❌	❌	3
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games	✅	❌	✅	❌	❌	✅	✅	4
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets	❌	❌	❌	❌	❌	❌	❌	0
Post Hoc Explanations of Language Models Can Improve Language Models	❌	❌	✅	✅	❌	❌	✅	3
Post-processing Private Synthetic Data for Improving Utility on Selected Measures	✅	❌	✅	❌	✅	❌	✅	4
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds	❌	✅	✅	❌	❌	❌	✅	3
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation	✅	❌	❌	❌	❌	❌	❌	1
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation	✅	❌	❌	❌	❌	❌	✅	2
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release	❌	✅	✅	❌	❌	❌	✅	3
PrObeD: Proactive Object Detection Wrapper	❌	✅	✅	✅	✅	❌	❌	4
Practical Contextual Bandits with Feedback Graphs	✅	❌	✅	❌	✅	❌	✅	4
Practical Differentially Private Hyperparameter Tuning with Subsampling	❌	❌	✅	❌	❌	❌	✅	2
Practical Equivariances via Relational Conditional Neural Processes	❌	✅	✅	✅	✅	❌	✅	5
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima	❌	❌	❌	❌	❌	❌	✅	1
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models	✅	✅	✅	❌	❌	❌	✅	4
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers	❌	✅	✅	❌	✅	✅	✅	5
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction	✅	❌	✅	✅	✅	❌	✅	5
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
PreDiff: Precipitation Nowcasting with Latent Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Precise asymptotic generalization for multiclass classification with overparameterized linear models	❌	❌	❌	❌	❌	❌	❌	0
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows	✅	✅	✅	❌	✅	❌	✅	5
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent	❌	❌	❌	❌	❌	❌	✅	1
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
Predict-then-Calibrate: A New Perspective of Robust Contextual LP	✅	❌	❌	✅	❌	❌	✅	3
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily	❌	❌	✅	✅	❌	❌	❌	2
Predicting a Protein's Stability under a Million Mutations	❌	✅	✅	✅	✅	❌	✅	5
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model	✅	❌	✅	✅	✅	❌	✅	5
Prediction and Control in Continual Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Preference-grounded Token-level Guidance for Language Model Fine-tuning	✅	✅	✅	✅	✅	❌	✅	6
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules	✅	✅	✅	✅	✅	✅	✅	7
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression	❌	✅	❌	❌	✅	❌	✅	3
PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation	❌	❌	✅	❌	❌	❌	❌	1
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation	❌	✅	✅	❌	✅	❌	✅	4
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision	❌	✅	✅	❌	❌	❌	✅	3
Principled Weight Initialisation for Input-Convex Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning	✅	✅	✅	❌	❌	❌	✅	4
Prioritizing Samples in Reinforcement Learning with Reducible Loss	✅	✅	✅	✅	✅	✅	✅	7
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation	✅	❌	❌	❌	❌	❌	✅	2
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?	❌	❌	✅	✅	✅	❌	✅	4
Privacy Auditing with One (1) Training Run	✅	❌	✅	❌	❌	❌	❌	2
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks	✅	❌	❌	❌	❌	❌	❌	1
Private Distribution Learning with Public Data: The View from Sample Compression	❌	❌	❌	❌	❌	❌	❌	0
Private Everlasting Prediction	✅	❌	❌	❌	❌	❌	❌	1
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance	✅	❌	✅	❌	❌	❌	✅	3
Private estimation algorithms for stochastic block models and mixture models	✅	❌	❌	❌	❌	❌	❌	1
ProPILE: Probing Privacy Leakage in Large Language Models	❌	❌	✅	❌	❌	❌	✅	2
Probabilistic Exponential Integrators	❌	✅	❌	❌	❌	❌	✅	2
Probabilistic Inference in Reinforcement Learning Done Right	✅	❌	✅	❌	❌	❌	✅	3
Probabilistic Invariant Learning with Randomized Linear Classifiers	❌	✅	✅	✅	❌	❌	✅	4
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation.	✅	✅	✅	❌	✅	❌	✅	5
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs	✅	✅	✅	❌	✅	✅	✅	6
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference	✅	✅	✅	✅	✅	❌	✅	6
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models	✅	❌	✅	❌	✅	❌	✅	4
Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems	✅	❌	✅	❌	❌	❌	✅	3
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem	✅	❌	✅	✅	❌	❌	✅	4
Projection-Free Online Convex Optimization via Efficient Newton Iterations	✅	❌	❌	❌	❌	❌	❌	1
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation	✅	❌	✅	✅	✅	❌	✅	5
Promises and Pitfalls of Threshold-based Auto-labeling	✅	✅	✅	✅	❌	❌	✅	5
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition	❌	✅	✅	✅	✅	❌	✅	5
Prompt-augmented Temporal Point Process for Streaming Event Sequence	✅	✅	✅	✅	✅	❌	✅	6
PromptIR: Prompting for All-in-One Image Restoration	❌	✅	✅	❌	❌	❌	✅	3
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception	❌	❌	✅	❌	❌	❌	✅	2
Propagating Knowledge Updates to LMs Through Distillation	✅	✅	✅	✅	✅	❌	✅	6
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization	✅	❌	❌	❌	✅	❌	❌	2
Protein Design with Guided Discrete Diffusion	✅	✅	✅	❌	❌	❌	✅	4
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers	✅	✅	✅	✅	✅	❌	✅	6
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion	✅	✅	✅	❌	✅	❌	✅	5
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Prototypical Variational Autoencoder for 3D Few-shot Object Detection	❌	❌	✅	❌	❌	❌	❌	1
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs	✅	✅	❌	❌	✅	❌	✅	4
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More	✅	✅	✅	✅	✅	❌	✅	6
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior	✅	✅	✅	❌	❌	❌	✅	4
Provable Guarantees for Neural Networks via Gradient Feature Learning	✅	❌	❌	❌	❌	❌	❌	1
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks	✅	❌	❌	✅	✅	❌	✅	4
Provable Training for Graph Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond	❌	✅	❌	❌	❌	✅	✅	3
Provable benefits of score matching	❌	❌	❌	❌	❌	❌	❌	0
Provable convergence guarantees for black-box variational inference	✅	❌	❌	❌	❌	❌	❌	1
Provably (More) Sample-Efficient Offline RL with Options	✅	❌	❌	❌	❌	❌	❌	1
Provably Bounding Neural Network Preimages	✅	✅	✅	❌	✅	❌	✅	5
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs	✅	❌	❌	❌	❌	❌	❌	1
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability	✅	❌	✅	❌	❌	❌	✅	3
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes	✅	❌	❌	❌	❌	❌	❌	1
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games	❌	✅	❌	❌	❌	❌	✅	2
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation	✅	❌	✅	❌	❌	❌	✅	3
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards	✅	❌	❌	❌	❌	❌	✅	2
Provably Safe Reinforcement Learning with Step-wise Violation Constraints	✅	❌	❌	❌	❌	❌	✅	2
Proximity-Informed Calibration for Deep Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Pruning vs Quantization: Which is Better?	❌	✅	✅	❌	❌	✅	❌	3
Pseudo-Likelihood Inference	✅	✅	✅	❌	✅	❌	✅	5
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion	❌	✅	✅	✅	❌	❌	✅	4
Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models	✅	❌	✅	❌	❌	❌	❌	2
Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving	❌	❌	✅	❌	✅	❌	✅	3
PyNeRF: Pyramidal Neural Radiance Fields	✅	❌	✅	❌	✅	❌	✅	4
Q-DM: An Efficient Low-bit Quantized Diffusion Model	❌	❌	✅	❌	❌	❌	✅	2
QLoRA: Efficient Finetuning of Quantized LLMs	❌	✅	✅	✅	✅	❌	✅	5
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning	✅	✅	✅	❌	✅	❌	✅	5
QuIP: 2-Bit Quantization of Large Language Models With Guarantees	✅	✅	✅	❌	✅	❌	✅	5
QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks	❌	✅	✅	✅	❌	❌	✅	4
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution	❌	✅	✅	❌	✅	❌	✅	4
Quantification of Uncertainty with Adversarial Models	✅	✅	✅	✅	✅	❌	✅	6
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework	✅	✅	✅	✅	❌	✅	✅	6
Quantifying the Cost of Learning in Queueing Systems	✅	❌	❌	❌	❌	❌	❌	1
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing	❌	✅	✅	✅	✅	❌	✅	5
Quantum Bayesian Optimization	✅	❌	✅	✅	✅	✅	✅	6
Quantum speedups for stochastic optimization	✅	❌	❌	❌	❌	❌	❌	1
Quasi-Monte Carlo Graph Random Features	❌	✅	✅	❌	✅	❌	✅	4
Query-based Temporal Fusion with Explicit Motion for 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
R-divergence for Estimating Model-oriented Distribution Discrepancy	✅	✅	✅	✅	❌	❌	✅	5
RADAR: Robust AI-Text Detection via Adversarial Learning	✅	❌	✅	✅	✅	❌	✅	5
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths	❌	✅	✅	❌	✅	❌	✅	4
RDumb: A simple approach that questions our progress in continual test-time adaptation	✅	✅	✅	✅	✅	❌	✅	6
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks	❌	❌	✅	❌	❌	❌	✅	2
RECKONING: Reasoning through Dynamic Knowledge Encoding	✅	❌	✅	✅	✅	❌	✅	5
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling	❌	❌	✅	✅	✅	❌	✅	4
RETVec: Resilient and Efficient Text Vectorizer	❌	✅	✅	✅	✅	✅	✅	6
REx: Data-Free Residual Quantization Error Expansion	✅	❌	✅	❌	❌	❌	✅	3
RGMIL: Guide Your Multiple-Instance Learning Model with Regressor	❌	✅	✅	✅	❌	❌	✅	4
RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy	❌	✅	✅	✅	✅	❌	✅	5
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing	❌	✅	✅	❌	✅	❌	✅	4
RRHF: Rank Responses to Align Language Models with Human Feedback	❌	✅	✅	❌	✅	✅	✅	5
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion	✅	✅	✅	✅	✅	❌	✅	6
RanPAC: Random Projections and Pre-trained Models for Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Random Cuts are Optimal for Explainable k-Medians	✅	❌	❌	❌	❌	❌	❌	1
Random-Access Infinite Context Length for Transformers	❌	✅	✅	❌	✅	❌	✅	4
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks	✅	✅	❌	❌	✅	❌	✅	4
Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations	❌	❌	❌	❌	❌	❌	❌	0
RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection	✅	❌	✅	✅	✅	❌	✅	5
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization	❌	❌	❌	❌	❌	❌	✅	1
Rank-DETR for High Quality Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Rank-N-Contrast: Learning Continuous Representations for Regression	❌	✅	✅	✅	✅	❌	✅	5
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency	❌	✅	✅	❌	✅	❌	✅	4
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals	❌	❌	✅	✅	❌	❌	❌	2
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction	❌	✅	✅	❌	✅	✅	✅	5
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints	✅	✅	✅	✅	❌	❌	✅	5
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence	✅	✅	✅	❌	❌	❌	✅	4
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability	✅	✅	✅	❌	❌	❌	✅	4
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization	✅	✅	✅	❌	✅	❌	✅	5
ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction	❌	✅	✅	❌	✅	✅	✅	5
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals	❌	✅	✅	❌	❌	❌	✅	3
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking	❌	❌	✅	✅	✅	❌	✅	4
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding	❌	✅	✅	✅	✅	❌	✅	5
Real-World Image Super-Resolution as Multi-Task Learning	✅	✅	✅	✅	❌	❌	✅	5
Real-World Image Variation by Aligning Diffusion Inversion Chain	❌	✅	✅	❌	✅	✅	✅	5
Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations	❌	✅	✅	✅	✅	❌	✅	5
Recasting Continual Learning as Sequence Modeling	✅	✅	✅	❌	✅	❌	✅	5
Recommender Systems with Generative Retrieval	❌	❌	✅	✅	❌	❌	✅	3
Reconciling Competing Sampling Strategies of Network Embedding	✅	✅	✅	✅	✅	❌	✅	6
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors	✅	✅	✅	✅	✅	❌	✅	6
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares	✅	✅	❌	❌	✅	✅	✅	5
Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle	✅	❌	❌	❌	❌	❌	✅	2
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL	❌	✅	❌	❌	✅	❌	✅	3
Recurrent Temporal Revision Graph Networks	✅	❌	✅	✅	❌	❌	✅	4
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability	❌	✅	✅	✅	✅	❌	✅	5
Red Teaming Deep Neural Networks with Feature Synthesis Tools	❌	✅	✅	✅	❌	❌	✅	4
Reduced Policy Optimization for Continuous Control with Hard Constraints	✅	✅	✅	❌	✅	✅	✅	6
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor	❌	❌	❌	❌	❌	❌	❌	0
Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method	❌	✅	✅	❌	✅	❌	✅	4
Reference-Based POMDPs	✅	✅	❌	❌	✅	❌	✅	4
Refined Mechanism Design for Approximately Structured Priors via Active Regression	❌	❌	❌	❌	❌	❌	❌	0
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans	❌	✅	✅	❌	✅	❌	✅	4
Reflexion: language agents with verbal reinforcement learning	✅	✅	✅	❌	❌	❌	✅	4
RegBN: Batch Normalization of Multimodal Data with Regularization	✅	✅	✅	✅	✅	❌	✅	6
Regression with Cost-based Rejection	❌	❌	✅	✅	❌	❌	✅	3
Regret Matching+: (In)Stability and Fast Convergence in Games	✅	❌	✅	❌	❌	❌	✅	3
Regret Minimization via Saddle Point Optimization	✅	❌	❌	❌	❌	❌	✅	2
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time	✅	❌	❌	❌	❌	❌	❌	1
Regularity as Intrinsic Reward for Free Play	✅	✅	❌	❌	✅	❌	✅	4
Regularization properties of adversarially-trained linear regression	❌	✅	✅	❌	❌	❌	✅	3
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information	❌	✅	✅	❌	✅	❌	✅	4
Regularizing Neural Networks with Meta-Learning Generative Models	✅	❌	✅	✅	✅	❌	✅	5
Rehearsal Learning for Avoiding Undesired Future	✅	❌	✅	✅	❌	❌	✅	4
Reinforcement Learning with Fast and Forgetful Memory	❌	✅	✅	❌	✅	✅	✅	5
Reinforcement Learning with Simple Sequence Priors	✅	✅	✅	❌	❌	❌	✅	4
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions	✅	✅	✅	❌	✅	✅	✅	6
Reining Generalization in Offline Reinforcement Learning via Representation Distinction	✅	❌	✅	❌	❌	❌	✅	3
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification	✅	✅	✅	✅	❌	❌	✅	5
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis	❌	✅	✅	❌	❌	❌	✅	3
Reliable Off-Policy Learning for Dosage Combinations	✅	✅	✅	✅	❌	❌	✅	5
Reliable learning in challenging environments	❌	❌	❌	❌	❌	❌	❌	0
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach	❌	❌	✅	❌	✅	❌	✅	3
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective	✅	✅	✅	✅	✅	❌	✅	6
Replicability in Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Replicable Clustering	✅	✅	❌	❌	❌	❌	❌	2
Replicable Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning	❌	❌	❌	❌	❌	❌	❌	0
Representation Learning via Consistent Assignment of Views over Random Partitions	✅	✅	✅	✅	✅	❌	✅	6
Representational Strengths and Limitations of Transformers	❌	❌	❌	❌	✅	❌	✅	2
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests	✅	✅	✅	❌	❌	❌	✅	4
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone	❌	✅	✅	❌	✅	✅	✅	5
ResMem: Learn what you can and memorize the rest	❌	❌	✅	✅	❌	❌	✅	3
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting	❌	✅	✅	❌	✅	❌	✅	4
Resetting the Optimizer in Deep RL: An Empirical Study	✅	❌	✅	❌	❌	❌	✅	3
Residual Alignment: Uncovering the Mechanisms of Residual Networks	❌	❌	✅	❌	❌	❌	✅	2
Residual Q-Learning: Offline and Online Policy Customization without Value	❌	✅	✅	❌	❌	❌	❌	2
Resilient Constrained Learning	✅	❌	✅	❌	❌	❌	✅	3
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis	✅	✅	✅	✅	❌	❌	✅	5
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction	❌	✅	✅	✅	✅	❌	✅	5
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning	✅	❌	✅	❌	✅	❌	✅	4
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline	❌	✅	✅	❌	✅	❌	✅	4
Responsible AI (RAI) Games and Ensembles	✅	✅	✅	✅	❌	❌	✅	5
Restart Sampling for Improving Generative Processes	✅	✅	✅	❌	✅	❌	✅	5
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption	✅	✅	❌	❌	❌	❌	✅	3
Retaining Beneficial Information from Detrimental Data for Neural Network Repair	✅	❌	✅	✅	❌	❌	✅	4
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition	❌	✅	✅	✅	✅	❌	✅	5
Rethinking Conditional Diffusion Sampling with Progressive Guidance	❌	✅	✅	❌	❌	❌	✅	3
Rethinking Gauss-Newton for learning over-parameterized models	❌	❌	✅	❌	❌	❌	✅	2
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?	✅	❌	✅	✅	❌	❌	✅	4
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective	❌	✅	✅	✅	✅	✅	✅	6
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules	✅	✅	✅	✅	✅	❌	✅	6
Rethinking the Backward Propagation for Adversarial Transferability	❌	✅	✅	❌	❌	❌	✅	3
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Retrieval-Augmented Multiple Instance Learning	✅	✅	✅	✅	❌	❌	✅	5
Reusable Slotwise Mechanisms	✅	✅	✅	✅	✅	❌	✅	6
Reusing Pretrained Models by Multi-linear Operators for Efficient Training	❌	❌	✅	❌	❌	❌	✅	2
RevColV2: Exploring Disentangled Representations in Masked Image Modeling	❌	❌	✅	❌	✅	❌	✅	3
Reverse Engineering Self-Supervised Learning	❌	❌	✅	❌	✅	❌	✅	3
Reversible and irreversible bracket-based dynamics for deep graph neural networks	❌	✅	✅	✅	✅	❌	✅	5
Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective	❌	✅	✅	✅	✅	❌	✅	5
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale	❌	✅	✅	✅	✅	❌	✅	5
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness	✅	✅	✅	❌	❌	❌	✅	4
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models	❌	✅	✅	✅	✅	❌	✅	5
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations	✅	❌	❌	❌	❌	❌	❌	1
Revisiting Implicit Differentiation for Learning Problems in Optimal Control	❌	✅	❌	❌	✅	✅	✅	4
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification	✅	✅	✅	✅	❌	❌	✅	5
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective	✅	❌	✅	❌	❌	❌	✅	3
Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View	❌	❌	✅	❌	❌	❌	✅	2
Revisiting the Minimalist Approach to Offline Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery	✅	✅	✅	❌	✅	❌	✅	5
Reward Imputation with Sketching for Contextual Batched Bandits	✅	❌	✅	❌	✅	❌	✅	4
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks	❌	✅	✅	❌	✅	❌	✅	4
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement	✅	✅	✅	❌	❌	❌	✅	4
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards	❌	✅	✅	✅	✅	❌	✅	5
Rewiring Neurons in Non-Stationary Environments	❌	✅	✅	❌	❌	❌	✅	3
Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation	❌	✅	✅	✅	✅	✅	✅	6
Riemannian Laplace approximations for Bayesian neural networks	❌	✅	✅	❌	❌	❌	✅	3
Riemannian Projection-free Online Learning	✅	❌	❌	❌	❌	❌	❌	1
Riemannian Residual Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds	✅	❌	✅	❌	❌	❌	✅	3
Riemannian stochastic optimization methods avoid strict saddle points	✅	❌	❌	❌	❌	❌	❌	1
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems	✅	❌	❌	❌	❌	❌	✅	2
Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure	✅	✅	✅	✅	❌	❌	✅	5
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization	✅	✅	✅	❌	✅	❌	✅	5
RoboCLIP: One Demonstration is Enough to Learn Robot Policies	❌	❌	✅	❌	❌	❌	❌	1
Robust Bayesian Satisficing	✅	✅	✅	❌	❌	❌	✅	4
Robust Concept Erasure via Kernelized Rate-Distortion Maximization	✅	✅	✅	❌	✅	❌	✅	5
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks	✅	✅	✅	✅	❌	❌	✅	5
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy	✅	✅	✅	❌	✅	✅	✅	6
Robust Data Valuation with Weighted Banzhaf Values	❌	✅	✅	✅	❌	❌	✅	4
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity	✅	✅	✅	❌	✅	❌	✅	5
Robust Knowledge Transfer in Tiered Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay	✅	❌	✅	✅	✅	❌	✅	5
Robust Learning with Progressive Data Expansion Against Spurious Correlation	✅	✅	✅	✅	❌	❌	✅	5
Robust Lipschitz Bandits to Adversarial Corruptions	✅	❌	❌	❌	❌	❌	✅	2
Robust Matrix Sensing in the Semi-Random Model	✅	❌	❌	❌	❌	❌	❌	1
Robust Mean Estimation Without Moments for Symmetric Distributions	✅	❌	❌	❌	❌	❌	❌	1
Robust Model Reasoning and Fitting via Dual Sparsity Pursuit	✅	✅	✅	❌	✅	❌	✅	5
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms	✅	✅	✅	❌	❌	❌	❌	3
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing	✅	❌	❌	❌	❌	❌	❌	1
Robust and Actively Secure Serverless Collaborative Learning	✅	❌	✅	❌	✅	❌	✅	4
Robust covariance estimation with missing values and cell-wise contamination	❌	✅	❌	❌	✅	❌	✅	3
Robust low-rank training via approximate orthonormal constraints	✅	✅	✅	❌	❌	❌	✅	4
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model	✅	❌	✅	❌	✅	❌	✅	4
Robustness Guarantees for Adversarially Trained Neural Networks	✅	❌	✅	❌	❌	❌	✅	3
Rotating Features for Object Discovery	❌	✅	✅	✅	✅	❌	✅	5
Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field	✅	✅	✅	❌	❌	❌	✅	4
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions	❌	✅	✅	✅	❌	❌	✅	4
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models	✅	❌	✅	❌	❌	❌	✅	3
SALSA VERDE: a machine learning attack on LWE with sparse small secrets	❌	✅	❌	✅	✅	❌	✅	4
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations	✅	✅	✅	❌	✅	❌	✅	5
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise	✅	❌	✅	✅	❌	❌	✅	4
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection	❌	❌	✅	❌	✅	❌	✅	3
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation	✅	✅	✅	❌	✅	❌	✅	5
SE(3) Equivariant Augmented Coupling Flows	✅	✅	✅	✅	✅	❌	✅	6
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
SEENN: Towards Temporal Spiking Early Exit Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
SEGA: Instructing Text-to-Image Models using Semantic Guidance	✅	✅	✅	❌	❌	❌	✅	4
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations	❌	✅	✅	✅	✅	❌	✅	5
SHAP-IQ: Unified Approximation of any-order Shapley Interactions	✅	✅	✅	❌	✅	❌	✅	5
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning	✅	✅	✅	❌	✅	❌	✅	5
SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization	❌	✅	✅	✅	✅	❌	✅	5
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization	✅	❌	✅	✅	❌	❌	✅	4
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples	✅	✅	✅	✅	✅	❌	✅	6
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding	❌	✅	❌	✅	✅	❌	✅	4
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities	✅	✅	✅	❌	❌	❌	✅	4
SOAR: Improved Indexing for Approximate Nearest Neighbor Search	❌	✅	✅	❌	✅	❌	✅	4
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation	❌	✅	✅	✅	✅	❌	✅	5
SODA: Robust Training of Test-Time Data Adaptors	✅	✅	✅	✅	✅	✅	✅	7
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions	✅	❌	✅	❌	❌	✅	✅	4
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation	❌	✅	✅	✅	✅	❌	✅	5
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs	❌	❌	✅	✅	❌	❌	✅	3
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
SPRING: Studying Papers and Reasoning to play Games	❌	✅	✅	❌	❌	❌	✅	3
SQ Lower Bounds for Learning Mixtures of Linear Classifiers	❌	❌	❌	❌	❌	❌	❌	0
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions	❌	❌	❌	❌	❌	❌	❌	0
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft	✅	✅	✅	❌	✅	❌	✅	5
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner	✅	❌	✅	❌	❌	❌	✅	3
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection	❌	❌	✅	✅	✅	❌	✅	4
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration	✅	✅	✅	✅	✅	❌	✅	6
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Saddle-to-Saddle Dynamics in Diagonal Linear Networks	✅	❌	❌	❌	❌	❌	✅	2
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms	✅	❌	✅	❌	✅	❌	✅	4
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations	✅	✅	❌	❌	❌	❌	✅	3
Safety Verification of Decision-Tree Policies in Continuous Time	✅	✅	✅	❌	✅	❌	✅	5
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling	✅	❌	❌	❌	❌	❌	❌	1
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Sample Complexity of Forecast Aggregation	❌	❌	❌	❌	❌	❌	❌	0
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks	✅	❌	❌	❌	✅	❌	✅	3
Sample based Explanations via Generalized Representers	❌	❌	✅	❌	❌	❌	❌	1
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds	❌	❌	❌	❌	❌	❌	❌	0
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents	✅	❌	✅	❌	❌	❌	✅	3
Sample-efficient Multi-objective Molecular Optimization with GFlowNets	✅	✅	✅	❌	✅	❌	✅	5
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent	❌	✅	✅	❌	✅	❌	✅	4
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk	✅	❌	❌	❌	❌	❌	❌	1
Sampling weights of deep neural networks	✅	✅	✅	✅	✅	❌	✅	6
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting	✅	✅	✅	❌	❌	❌	✅	4
Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Scalable Fair Influence Maximization	✅	❌	✅	❌	❌	✅	✅	4
Scalable Membership Inference Attacks via Quantile Regression	❌	✅	✅	✅	❌	❌	✅	4
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities	✅	✅	❌	❌	❌	❌	❌	2
Scalable Transformer for PDE Surrogate Modeling	❌	✅	✅	❌	✅	✅	✅	5
Scalarization for Multi-Task and Multi-Domain Learning at Scale	❌	❌	✅	✅	✅	❌	✅	4
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models	❌	✅	✅	✅	✅	❌	✅	5
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis	❌	✅	✅	✅	❌	❌	✅	4
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels	✅	✅	✅	❌	✅	✅	✅	6
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection	❌	✅	✅	❌	✅	❌	✅	4
Scaling Data-Constrained Language Models	❌	✅	✅	❌	❌	❌	✅	3
Scaling Laws for Hyperparameter Optimization	✅	✅	✅	✅	✅	✅	✅	7
Scaling MLPs: A Tale of Inductive Bias	✅	✅	✅	❌	✅	❌	✅	5
Scaling Open-Vocabulary Object Detection	✅	✅	✅	✅	✅	❌	✅	6
Scaling Riemannian Diffusion Models	✅	✅	✅	❌	❌	❌	✅	4
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations	✅	❌	✅	❌	✅	✅	✅	5
Scaling laws for language encoding models in fMRI	❌	✅	✅	✅	✅	❌	✅	5
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer	❌	❌	✅	❌	❌	❌	✅	2
Scattering Vision Transformer: Spectral Mixing Matters	❌	✅	✅	❌	✅	❌	❌	3
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion	❌	❌	✅	✅	✅	❌	✅	4
SceneScape: Text-Driven Consistent Scene Generation	❌	❌	✅	❌	✅	❌	✅	3
Schema-learning and rebinding as mechanisms of in-context learning and emergence	✅	❌	✅	❌	❌	❌	✅	3
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time	✅	❌	✅	❌	✅	❌	✅	4
Score-based Data Assimilation	✅	✅	❌	✅	❌	❌	✅	4
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces	✅	❌	✅	❌	❌	❌	✅	3
Score-based Generative Models with Lévy Processes	❌	❌	✅	❌	❌	❌	✅	2
Score-based Source Separation with Applications to Digital Communication Signals	✅	✅	✅	✅	✅	❌	✅	6
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking	✅	✅	✅	❌	❌	❌	✅	4
Secure Out-of-Distribution Task Generalization with Energy-Based Models	✅	❌	✅	❌	❌	❌	✅	3
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation	✅	❌	✅	❌	✅	❌	✅	4
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process	✅	✅	✅	✅	✅	❌	✅	6
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Segment Anything in 3D with NeRFs	❌	✅	✅	❌	✅	❌	✅	4
Segment Anything in High Quality	❌	✅	✅	✅	✅	❌	✅	5
Segment Everything Everywhere All at Once	✅	❌	✅	✅	❌	❌	✅	4
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models	❌	✅	✅	❌	✅	❌	✅	4
Selective Sampling and Imitation Learning via Online Regression	✅	❌	✅	❌	❌	❌	✅	3
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning	✅	❌	✅	❌	❌	✅	✅	4
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning	❌	✅	✅	❌	❌	❌	✅	3
Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors	✅	✅	✅	✅	✅	❌	✅	6
Self-Chained Image-Language Model for Video Localization and Question Answering	❌	✅	✅	✅	✅	❌	✅	5
Self-Consistent Velocity Matching of Probability Flows	✅	❌	✅	❌	❌	❌	✅	3
Self-Correcting Bayesian Optimization through Bayesian Active Learning	✅	✅	✅	✅	✅	✅	✅	7
Self-Evaluation Guided Beam Search for Reasoning	❌	✅	✅	❌	❌	❌	✅	3
Self-Predictive Universal AI	❌	❌	✅	❌	❌	❌	✅	2
Self-Refine: Iterative Refinement with Self-Feedback	✅	✅	✅	❌	❌	❌	✅	4
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells	❌	❌	❌	❌	❌	❌	✅	1
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations	✅	❌	✅	✅	✅	❌	✅	5
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow	✅	❌	✅	✅	✅	❌	✅	5
Self-Supervised Reinforcement Learning that Transfers using Random Features	✅	❌	✅	❌	❌	❌	✅	3
Self-Supervised Visual Acoustic Matching	✅	❌	✅	✅	✅	❌	✅	5
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration	✅	✅	✅	❌	❌	❌	✅	4
Self-supervised Graph Neural Networks via Low-Rank Decomposition	✅	❌	✅	✅	❌	❌	✅	4
Self-supervised Object-Centric Learning for Videos	❌	✅	✅	✅	✅	❌	✅	5
Self-supervised video pretraining yields robust and more human-aligned visual representations	❌	❌	✅	✅	✅	❌	✅	4
Semantic HELM: A Human-Readable Memory for Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Semantic Image Synthesis with Unconditional Generator	❌	❌	✅	❌	❌	❌	❌	1
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination	✅	✅	✅	✅	❌	❌	✅	5
Semi-Implicit Denoising Diffusion Models (SIDDMs)	❌	✅	✅	✅	❌	❌	✅	4
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation	❌	✅	✅	✅	✅	❌	✅	5
Semi-Supervised Domain Generalization with Known and Unknown Classes	✅	❌	✅	✅	❌	❌	✅	4
Sensitivity in Translation Averaging	✅	❌	✅	❌	✅	❌	✅	4
Separable Physics-Informed Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Sequential Memory with Temporal Predictive Coding	✅	❌	✅	❌	❌	❌	✅	3
Sequential Predictive Two-Sample and Independence Testing	✅	❌	✅	✅	❌	❌	✅	4
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback	✅	✅	✅	❌	❌	❌	✅	4
Sequential Subset Matching for Dataset Distillation	✅	✅	✅	❌	✅	❌	✅	5
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots	❌	❌	✅	❌	❌	❌	✅	2
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction	❌	✅	✅	❌	✅	❌	✅	4
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples	✅	✅	✅	✅	✅	❌	✅	6
Sharp Bounds for Generalized Causal Sensitivity Analysis	✅	✅	✅	❌	❌	❌	✅	4
Sharp Calibrated Gaussian Processes	✅	❌	✅	✅	❌	❌	✅	4
Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms	✅	❌	❌	❌	❌	❌	✅	2
Sharp Spectral Rates for Koopman Operator Learning	❌	✅	✅	❌	❌	❌	✅	3
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization	❌	❌	❌	❌	❌	❌	✅	1
Sharpness-Aware Minimization Leads to Low-Rank Features	❌	✅	✅	❌	✅	❌	✅	4
Sheaf Hypergraph Networks	❌	❌	✅	✅	✅	❌	❌	3
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models	✅	❌	❌	❌	❌	❌	✅	2
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer	❌	✅	✅	✅	✅	❌	✅	5
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations	❌	✅	❌	✅	✅	❌	✅	4
Should Under-parameterized Student Networks Copy or Average Teacher Weights?	❌	✅	❌	❌	❌	❌	✅	2
Should We Learn Most Likely Functions or Parameters?	❌	✅	✅	✅	❌	❌	✅	4
Siamese Masked Autoencoders	❌	❌	✅	✅	✅	❌	✅	4
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning	✅	❌	✅	❌	❌	❌	❌	2
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization	❌	✅	✅	✅	✅	❌	✅	5
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling	❌	✅	✅	✅	✅	❌	✅	5
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities	✅	❌	✅	❌	❌	✅	❌	3
Similarity-based cooperative equilibrium	✅	❌	❌	❌	✅	❌	✅	3
Simple and Asymmetric Graph Contrastive Learning without Augmentations	❌	✅	✅	✅	✅	❌	✅	5
Simple and Controllable Music Generation	❌	✅	✅	❌	❌	❌	✅	3
Simple, Scalable and Effective Clustering via One-Dimensional Projections	✅	✅	✅	❌	✅	❌	✅	5
Simplicity Bias in 1-Hidden Layer Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
Simplifying Neural Network Training Under Class Imbalance	❌	❌	✅	❌	✅	❌	✅	3
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization	❌	❌	❌	❌	❌	❌	✅	1
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions	❌	✅	❌	❌	❌	❌	✅	2
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!	✅	❌	❌	❌	❌	❌	❌	1
Single-Stage Visual Query Localization in Egocentric Videos	❌	❌	✅	✅	✅	❌	✅	4
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming	✅	❌	❌	❌	❌	❌	❌	1
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions	✅	❌	✅	✅	✅	❌	✅	5
Skill-it! A data-driven skills framework for understanding and training language models	✅	✅	✅	✅	✅	❌	✅	6
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training	✅	✅	✅	✅	✅	❌	✅	6
Slot-guided Volumetric Object Radiance Fields	❌	❌	✅	❌	✅	❌	✅	3
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics	❌	❌	❌	❌	❌	❌	✅	1
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness	✅	❌	✅	❌	✅	❌	✅	4
Small batch deep reinforcement learning	❌	✅	✅	❌	✅	❌	✅	4
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation	✅	✅	✅	❌	✅	❌	✅	5
Smooth Flipping Probability for Differential Private Sign Random Projection Methods	✅	❌	✅	❌	❌	❌	❌	2
Smooth, exact rotational symmetrization for deep learning on point clouds	❌	✅	✅	✅	✅	❌	✅	5
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma	✅	✅	✅	✅	✅	❌	✅	6
Smoothed Analysis of Sequential Probability Assignment	✅	❌	❌	❌	❌	❌	❌	1
Smoothed Online Learning for Prediction in Piecewise Affine Systems	✅	❌	❌	❌	❌	❌	❌	1
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models	✅	❌	❌	❌	✅	❌	✅	3
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds	✅	✅	✅	✅	✅	❌	✅	6
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams	✅	✅	✅	❌	✅	❌	✅	5
Social Motion Prediction with Cognitive Hierarchies	❌	❌	✅	❌	✅	❌	✅	3
Soft-Unification in Deep Probabilistic Logic	✅	✅	✅	✅	✅	❌	✅	6
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks	✅	✅	✅	❌	✅	❌	❌	4
Solving Inverse Physics Problems with Score Matching	❌	✅	❌	❌	✅	❌	✅	3
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models	✅	✅	✅	✅	❌	❌	✅	5
Solving a Class of Non-Convex Minimax Optimization in Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Sorting with Predictions	✅	✅	✅	❌	❌	❌	❌	3
Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio	❌	✅	✅	✅	✅	❌	✅	5
Sparse Deep Learning for Time Series Data: Theory and Applications	✅	❌	✅	✅	❌	❌	✅	4
Sparse Modular Activation for Efficient Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
Sparse Parameterization for Epitomic Dataset Distillation	✅	✅	✅	❌	✅	❌	✅	5
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
Sparsity-Preserving Differentially Private Training of Large Embedding Models	✅	❌	✅	✅	❌	❌	✅	4
Spatial-frequency channels, shape bias, and adversarial robustness	❌	✅	✅	✅	❌	❌	✅	4
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data	✅	❌	✅	✅	❌	❌	❌	3
Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning	✅	✅	✅	❌	✅	❌	✅	5
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI	❌	✅	✅	✅	✅	❌	✅	5
SpecTr: Fast Speculative Decoding via Optimal Transport	✅	❌	✅	❌	❌	❌	✅	3
Spectral Co-Distillation for Personalized Federated Learning	✅	❌	✅	❌	❌	❌	✅	3
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
Spectral Evolution and Invariance in Linear-width Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts	✅	✅	✅	✅	❌	❌	❌	4
Speculative Decoding with Big Little Decoder	✅	✅	✅	✅	✅	❌	✅	6
Spike-driven Transformer	❌	✅	✅	❌	❌	❌	✅	3
Spiking PointNet: Spiking Neural Networks for Point Clouds	❌	✅	✅	❌	❌	❌	✅	3
Spontaneous symmetry breaking in generative diffusion models	❌	✅	✅	❌	❌	❌	✅	3
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features	✅	✅	✅	✅	❌	❌	✅	5
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases	❌	✅	✅	✅	❌	❌	✅	4
Squared Neural Families: A New Class of Tractable Density Models	❌	✅	✅	❌	✅	❌	✅	4
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective	❌	✅	✅	✅	✅	❌	✅	5
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation	❌	✅	✅	❌	✅	❌	✅	4
Stability Guarantees for Feature Attributions with Multiplicative Smoothing	❌	❌	✅	❌	❌	❌	✅	2
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm	✅	❌	✅	❌	❌	❌	✅	3
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals	❌	❌	❌	✅	❌	❌	✅	2
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds	✅	❌	❌	❌	❌	❌	❌	1
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints	❌	✅	❌	✅	✅	✅	✅	5
Stable Diffusion is Unstable	✅	✅	✅	✅	❌	❌	✅	5
Stable Nonconvex-Nonconcave Training via Linear Interpolation	✅	❌	✅	❌	❌	❌	✅	3
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures	❌	✅	✅	✅	✅	❌	✅	5
Stable and low-precision training for large-scale vision-language models	✅	✅	✅	❌	✅	❌	✅	5
StableFDG: Style and Attention Based Learning for Federated Domain Generalization	✅	❌	✅	✅	✅	❌	✅	5
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners	✅	✅	✅	✅	✅	❌	✅	6
Star-Shaped Denoising Diffusion Probabilistic Models	✅	✅	✅	✅	✅	❌	✅	6
State Regularized Policy Optimization on Data with Dynamics Shift	✅	❌	✅	❌	❌	❌	✅	3
State Sequences Prediction via Fourier Transform for Representation Learning	✅	✅	✅	❌	❌	❌	✅	4
State-Action Similarity-Based Representations for Off-Policy Evaluation	✅	✅	✅	❌	✅	❌	✅	5
State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory	❌	❌	❌	❌	❌	❌	❌	0
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding	❌	✅	✅	✅	✅	❌	✅	5
StateMask: Explaining Deep Reinforcement Learning through State Mask	✅	✅	✅	❌	✅	❌	✅	5
Static and Sequential Malicious Attacks in the Context of Selective Forgetting	❌	✅	✅	❌	❌	❌	❌	2
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks	❌	✅	❌	❌	❌	❌	✅	2
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory	❌	❌	❌	❌	❌	❌	❌	0
Statistical Insights into HSIC in High Dimensions	❌	❌	✅	❌	❌	❌	✅	2
Statistical Knowledge Assessment for Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference	✅	✅	❌	❌	❌	❌	✅	3
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits	✅	✅	❌	❌	❌	❌	✅	3
Statistically Valid Variable Importance Assessment through Conditional Permutations	✅	✅	✅	✅	❌	❌	❌	4
Stein $\Pi$-Importance Sampling	✅	✅	✅	❌	❌	✅	✅	5
Stochastic Approximation Algorithms for Systems of Interacting Particles	❌	❌	❌	❌	❌	❌	❌	0
Stochastic Approximation Approaches to Group Distributionally Robust Optimization	✅	❌	✅	❌	❌	❌	❌	2
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks	❌	✅	✅	❌	✅	❌	✅	4
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis	✅	❌	❌	❌	❌	❌	✅	2
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk	✅	❌	❌	❌	❌	❌	❌	1
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths	✅	✅	❌	❌	✅	❌	✅	4
Strategic Apple Tasting	✅	❌	❌	❌	❌	❌	❌	1
Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation	❌	✅	❌	❌	❌	❌	❌	1
Strategic Classification under Unknown Personalized Manipulation	✅	❌	❌	❌	❌	❌	❌	1
Strategic Data Sharing between Competitors	❌	❌	❌	❌	❌	❌	✅	1
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows	❌	❌	❌	❌	❌	❌	✅	1
Strategyproof Voting under Correlated Beliefs	❌	❌	❌	❌	❌	❌	❌	0
StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller	✅	❌	❌	❌	✅	❌	❌	2
Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost	✅	❌	❌	❌	❌	❌	✅	2
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition	✅	✅	✅	❌	❌	❌	✅	4
Streaming PCA for Markovian Data	❌	❌	❌	❌	❌	❌	✅	1
Strong and Precise Modulation of Human Percepts via Robustified ANNs	❌	✅	✅	❌	✅	✅	✅	5
Structural Pruning for Diffusion Models	✅	✅	✅	❌	❌	❌	✅	4
Structure Learning with Adaptive Random Neighborhood Informed MCMC	✅	✅	✅	❌	✅	❌	✅	5
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects	❌	✅	❌	❌	✅	❌	✅	3
Structure of universal formulas	❌	❌	❌	❌	❌	❌	❌	0
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data	✅	✅	✅	✅	✅	❌	✅	6
Structured Federated Learning through Clustered Additive Modeling	✅	❌	✅	❌	❌	❌	✅	3
Structured Neural Networks for Density Estimation and Causal Inference	✅	✅	✅	❌	❌	❌	✅	4
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees	❌	✅	✅	❌	✅	❌	✅	4
Structured Prediction with Stronger Consistency Guarantees	❌	❌	❌	❌	❌	❌	❌	0
Structured Semidefinite Programming for Recovering Structured Preconditioners	✅	❌	❌	❌	❌	❌	❌	1
Structured State Space Models for In-Context Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Structured Voronoi Sampling	✅	✅	✅	✅	✅	❌	✅	6
Students Parrot Their Teachers: Membership Inference on Model Distillation	❌	❌	✅	✅	✅	❌	✅	4
StyleDrop: Text-to-Image Synthesis of Any Style	✅	✅	✅	❌	✅	❌	✅	5
StyleGAN knows Normal, Depth, Albedo, and More	❌	❌	✅	❌	✅	❌	✅	3
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models	✅	✅	✅	✅	✅	❌	✅	6
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression	❌	✅	❌	❌	❌	❌	✅	2
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping	✅	✅	✅	✅	✅	❌	✅	6
Subject-driven Text-to-Image Generation via Apprenticeship Learning	✅	❌	✅	❌	✅	❌	✅	4
Subspace Identification for Multi-Source Domain Adaptation	❌	❌	✅	❌	❌	❌	❌	1
Successor-Predecessor Intrinsic Exploration	✅	❌	✅	❌	❌	❌	✅	3
Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Supervised Pretraining Can Learn In-Context Reinforcement Learning	✅	✅	❌	✅	❌	❌	✅	4
Supply-Side Equilibria in Recommender Systems	❌	✅	✅	❌	❌	❌	❌	2
Supported Value Regularization for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Survival Instinct in Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates	❌	✅	✅	✅	✅	✅	✅	6
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting	❌	✅	✅	❌	❌	❌	✅	3
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration	✅	❌	❌	❌	❌	❌	❌	1
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models	❌	❌	✅	❌	✅	❌	✅	3
Swarm Reinforcement Learning for Adaptive Mesh Refinement	❌	✅	❌	❌	✅	❌	✅	3
SwiFT: Swin 4D fMRI Transformer	❌	✅	✅	✅	✅	✅	✅	6
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks	✅	❌	✅	❌	❌	✅	✅	4
Switching Autoregressive Low-rank Tensor Models	❌	✅	✅	✅	✅	❌	✅	5
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation	❌	✅	✅	✅	❌	❌	✅	4
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning	✅	✅	✅	❌	❌	✅	❌	4
Symbolic Discovery of Optimization Algorithms	✅	❌	✅	✅	✅	❌	✅	5
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions	✅	✅	❌	❌	❌	❌	✅	3
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network	✅	✅	✅	❌	✅	✅	✅	6
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions	❌	❌	❌	❌	❌	❌	❌	0
Synthetic Experience Replay	✅	✅	✅	❌	✅	❌	✅	5
Synthetic-to-Real Pose Estimation with Geometric Reconstruction	❌	❌	✅	✅	❌	❌	✅	3
Systematic Visual Reasoning through Object-Centric Relational Abstraction	❌	❌	✅	✅	❌	❌	✅	3
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization	❌	✅	✅	❌	✅	❌	✅	4
TART: A plug-and-play Transformer module for task-agnostic reasoning	✅	✅	✅	❌	✅	❌	✅	5
TD Convergence: An Optimization Perspective	✅	❌	❌	❌	❌	❌	❌	1
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph	✅	✅	✅	✅	✅	❌	✅	6
TIES-Merging: Resolving Interference When Merging Models	✅	✅	✅	✅	✅	❌	✅	6
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation	❌	✅	✅	✅	❌	❌	✅	4
TOA: Task-oriented Active VQA	✅	❌	✅	✅	❌	✅	✅	5
TRIAGE: Characterizing and auditing training data for improved regression	✅	✅	✅	✅	❌	❌	✅	5
TabMT: Generating tabular data with masked transformers	✅	❌	✅	✅	✅	❌	✅	5
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds	✅	❌	❌	❌	❌	❌	✅	2
Tailoring Self-Attention for Graph via Rooted Subtrees	❌	✅	✅	✅	✅	❌	✅	5
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system	✅	❌	✅	✅	❌	❌	❌	3
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration	❌	❌	✅	❌	✅	❌	✅	3
Taming Local Effects in Graph-based Spatiotemporal Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Tanh Works Better with Asymmetry	❌	✅	✅	✅	❌	❌	✅	4
Tanimoto Random Features for Scalable Molecular Machine Learning	❌	✅	✅	❌	❌	❌	✅	3
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models	✅	✅	✅	✅	✅	❌	✅	6
Task-Robust Pre-Training for Worst-Case Downstream Adaptation	✅	❌	✅	✅	✅	❌	✅	5
Task-aware Distributed Source Coding under Dynamic Bandwidth	✅	✅	✅	❌	❌	❌	✅	4
Task-aware world model learning with meta weighting via bi-level optimization	✅	✅	✅	❌	✅	✅	✅	6
TaskMet: Task-driven Metric Learning for Model Learning	✅	✅	✅	❌	❌	❌	✅	4
Taylor TD-learning	✅	✅	✅	❌	✅	❌	✅	5
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery	✅	✅	✅	✅	✅	❌	✅	6
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training	✅	✅	✅	❌	✅	❌	✅	5
Template-free Articulated Neural Point Clouds for Reposable View Synthesis	❌	❌	✅	✅	✅	❌	✅	4
Tempo Adaptation in Non-stationary Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions	❌	✅	✅	❌	❌	❌	✅	3
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes	❌	✅	✅	❌	✅	❌	✅	4
Temporal Continual Learning with Prior Compensation for Human Motion Prediction	✅	✅	✅	✅	✅	❌	✅	6
Temporal Dynamic Quantization for Diffusion Models	❌	✅	✅	❌	✅	✅	✅	5
Temporal Robustness against Data poisoning	❌	❌	✅	❌	❌	❌	✅	2
Temporally Disentangled Representation Learning under Unknown Nonstationarity	❌	✅	✅	❌	✅	❌	❌	3
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials	❌	✅	✅	✅	✅	✅	✅	6
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification	❌	✅	✅	❌	❌	❌	✅	3
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models	❌	✅	✅	✅	✅	❌	✅	5
Test-time Training for Matching-based Video Object Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Tester-Learners for Halfspaces: Universal Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples	✅	✅	✅	❌	❌	❌	✅	4
TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration	❌	❌	✅	✅	✅	❌	✅	4
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks	❌	✅	✅	✅	✅	❌	✅	5
Text Promptable Surgical Instrument Segmentation with Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Text-to-Image Diffusion Models are Zero Shot Classifiers	✅	❌	✅	❌	❌	❌	✅	3
TextDiffuser: Diffusion Models as Text Painters	❌	✅	✅	❌	✅	❌	✅	4
Textually Pretrained Speech Language Models	❌	✅	✅	✅	❌	❌	✅	4
The Adversarial Consistency of Surrogate Risks for Binary Classification	❌	❌	❌	❌	❌	❌	❌	0
The Bayesian Stability Zoo	✅	❌	❌	❌	❌	❌	❌	1
The Behavior and Convergence of Local Bayesian Optimization	✅	✅	❌	❌	❌	❌	✅	3
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium	❌	✅	❌	❌	✅	❌	✅	3
The CLIP Model is Secretly an Image-to-Prompt Converter	❌	❌	✅	✅	✅	❌	✅	4
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks	✅	✅	❌	✅	✅	❌	✅	5
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
The Crucial Role of Normalization in Sharpness-Aware Minimization	❌	❌	✅	❌	❌	❌	✅	2
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model	✅	❌	❌	❌	❌	❌	❌	1
The Distortion of Binomial Voting Defies Expectation	❌	❌	❌	❌	❌	❌	❌	0
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks	❌	❌	❌	❌	❌	❌	❌	0
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter	❌	✅	✅	❌	❌	❌	✅	3
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games	❌	❌	❌	❌	❌	❌	✅	1
The Exact Sample Complexity Gain from Invariances for Kernel Regression	❌	❌	❌	❌	❌	❌	❌	0
The Gain from Ordering in Online Learning	✅	❌	❌	❌	❌	❌	❌	1
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization	❌	❌	✅	❌	❌	❌	✅	2
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs	❌	✅	✅	✅	✅	❌	✅	5
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.	❌	❌	✅	❌	✅	✅	✅	4
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models	❌	✅	❌	❌	❌	❌	✅	2
The Impact of Positional Encoding on Length Generalization in Transformers	❌	✅	❌	✅	✅	❌	✅	4
The Learnability of In-Context Learning	❌	❌	❌	❌	❌	❌	❌	0
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data	❌	✅	✅	✅	❌	❌	✅	4
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance	✅	✅	✅	✅	✅	❌	✅	6
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning	✅	✅	✅	❌	❌	❌	✅	4
The Quantization Model of Neural Scaling	❌	✅	✅	❌	✅	❌	✅	4
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions	❌	✅	✅	❌	✅	❌	✅	4
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance	❌	✅	✅	✅	❌	❌	✅	4
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification	❌	✅	✅	❌	❌	❌	✅	3
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit	❌	❌	✅	❌	✅	❌	✅	3
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation	❌	❌	❌	❌	❌	❌	❌	0
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation	✅	❌	✅	✅	✅	❌	✅	5
The Target-Charging Technique for Privacy Analysis across Interactive Computations	✅	❌	❌	❌	❌	❌	❌	1
The Transient Nature of Emergent In-Context Learning in Transformers	❌	✅	✅	❌	✅	❌	✅	4
The Tunnel Effect: Building Data Representations in Deep Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes	✅	✅	✅	❌	✅	❌	✅	5
The emergence of clusters in self-attention dynamics	❌	❌	❌	❌	❌	❌	❌	0
The expressive power of pooling in Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
The geometry of hidden representations of large transformer models	❌	✅	✅	❌	✅	❌	✅	4
The noise level in linear regression with dependent data	❌	❌	❌	❌	❌	❌	❌	0
The probability flow ODE is provably fast	✅	✅	❌	❌	❌	❌	✅	3
The s-value: evaluating stability with respect to distributional shifts	❌	❌	✅	✅	❌	❌	❌	2
Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks	❌	❌	❌	❌	❌	❌	✅	1
Theoretical and Practical Perspectives on what Influence Functions Do	❌	❌	✅	✅	✅	❌	✅	4
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation	❌	✅	✅	✅	✅	❌	✅	5
Thin and deep Gaussian processes	❌	✅	✅	✅	❌	❌	❌	3
Thinker: Learning to Plan and Act	✅	✅	✅	❌	✅	❌	✅	5
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations	❌	✅	✅	❌	✅	❌	✅	4
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking	✅	✅	✅	❌	✅	❌	✅	5
Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points	✅	❌	❌	❌	❌	❌	❌	1
Three Towers: Flexible Contrastive Learning with Pretrained Image Models	❌	❌	✅	❌	✅	❌	✅	3
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance	✅	✅	✅	✅	✅	✅	✅	7
Thrust: Adaptively Propels Large Language Models with External Knowledge	❌	✅	✅	❌	✅	❌	✅	4
Tight Bounds for Volumetric Spanners and Applications	✅	❌	❌	❌	❌	❌	❌	1
Tight Risk Bounds for Gradient Descent on Separable Data	❌	❌	❌	❌	❌	❌	❌	0
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings	✅	✅	✅	✅	✅	❌	✅	6
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series	✅	✅	✅	✅	✅	❌	✅	6
Time-Independent Information-Theoretic Generalization Bounds for SGLD	❌	❌	❌	❌	❌	❌	❌	0
Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value	❌	❌	❌	❌	❌	❌	❌	0
Time-uniform confidence bands for the CDF under nonstationarity	✅	✅	❌	❌	❌	❌	✅	3
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics	✅	✅	❌	❌	✅	❌	✅	4
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis	❌	❌	✅	❌	✅	❌	✅	3
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning	❌	✅	✅	✅	✅	❌	✅	5
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models	❌	✅	✅	❌	✅	❌	✅	4
Toolformer: Language Models Can Teach Themselves to Use Tools	❌	❌	✅	✅	❌	❌	✅	3
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings	❌	✅	✅	✅	✅	❌	✅	5
Tools for Verifying Neural Models' Training Data	❌	❌	✅	❌	✅	❌	✅	3
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification	✅	❌	✅	✅	❌	❌	✅	4
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models	✅	✅	✅	❌	❌	❌	✅	4
TopoSRL: Topology preserving self-supervised Simplicial Representation Learning	✅	✅	✅	✅	❌	❌	❌	4
Topological Obstructions and How to Avoid Them	❌	❌	✅	❌	❌	❌	✅	2
Topological Parallax: A Geometric Specification for Deep Perception Models	✅	✅	✅	❌	❌	✅	❌	4
Topological RANSAC for instance verification and retrieval without fine-tuning	✅	✅	✅	❌	❌	❌	✅	4
Topology-Aware Uncertainty for Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms	❌	❌	❌	❌	❌	❌	❌	0
Toward Re-Identifying Any Animal	❌	✅	✅	❌	✅	❌	✅	4
Toward Understanding Generative Data Augmentation	❌	✅	✅	❌	✅	✅	✅	5
Towards A Richer 2D Understanding of Hands at Scale	❌	❌	✅	✅	❌	❌	✅	3
Towards Accelerated Model Training via Bayesian Data Selection	✅	❌	✅	✅	❌	✅	✅	5
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity	❌	✅	✅	✅	❌	❌	✅	4
Towards Automated Circuit Discovery for Mechanistic Interpretability	✅	✅	✅	❌	✅	✅	✅	6
Towards Better Dynamic Graph Learning: New Architecture and Unified Library	❌	✅	✅	✅	✅	❌	✅	5
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games	❌	❌	❌	❌	❌	❌	❌	0
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach	❌	❌	❌	✅	✅	❌	✅	3
Towards Consistent Video Editing with Text-to-Image Diffusion Models	❌	❌	✅	❌	✅	✅	✅	4
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?	✅	✅	✅	❌	✅	✅	✅	6
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression	❌	❌	✅	❌	❌	❌	✅	2
Towards Distribution-Agnostic Generalized Category Discovery	✅	✅	✅	❌	✅	❌	✅	5
Towards Efficient Image Compression Without Autoregressive Models	❌	❌	✅	❌	✅	❌	✅	3
Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation	✅	❌	✅	✅	❌	❌	✅	4
Towards Efficient and Accurate Winograd Convolution via Full Quantization	❌	❌	✅	❌	✅	❌	✅	3
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly	❌	✅	✅	✅	✅	❌	✅	5
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior	❌	✅	❌	✅	✅	❌	✅	4
Towards Free Data Selection with General-Purpose Models	✅	✅	✅	❌	✅	❌	✅	5
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Towards Higher Ranks via Adversarial Weight Pruning	✅	✅	✅	✅	✅	❌	✅	6
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network	✅	✅	✅	❌	✅	❌	✅	5
Towards In-context Scene Understanding	❌	❌	✅	✅	✅	❌	✅	4
Towards Label Position Bias in Graph Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Towards Label-free Scene Understanding by Vision Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Towards Last-layer Retraining for Group Robustness with Fewer Annotations	❌	✅	✅	✅	✅	❌	✅	5
Towards Optimal Caching and Model Selection for Large Model Inference	✅	✅	✅	❌	❌	❌	✅	4
Towards Optimal Effective Resistance Estimation	✅	❌	❌	❌	❌	❌	❌	1
Towards Personalized Federated Learning via Heterogeneous Model Reassembly	✅	✅	✅	❌	✅	✅	✅	6
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective	✅	❌	❌	❌	✅	❌	✅	3
Towards Robust and Expressive Whole-body Human Pose and Shape Estimation	❌	✅	✅	❌	❌	❌	✅	3
Towards Self-Interpretable Graph-Level Anomaly Detection	✅	✅	✅	❌	❌	❌	✅	4
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning	✅	✅	✅	✅	✅	✅	✅	7
Towards Stable Backdoor Purification through Feature Shift Tuning	✅	✅	✅	✅	✅	❌	✅	6
Towards Symmetry-Aware Generation of Periodic Materials	✅	✅	✅	✅	✅	❌	✅	6
Towards Test-Time Refusals via Concept Negation	❌	❌	✅	❌	❌	❌	✅	2
Towards Unbounded Machine Unlearning	✅	✅	✅	✅	✅	❌	✅	6
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent	✅	❌	❌	❌	❌	❌	✅	2
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift	❌	❌	✅	❌	❌	❌	✅	2
Towards a Unified Framework of Contrastive Learning for Disentangled Representations	❌	❌	✅	❌	❌	❌	✅	2
Towards a fuller understanding of neurons with Clustered Compositional Explanations	❌	✅	✅	✅	✅	❌	✅	5
Towards robust and generalizable representations of extracellular data using contrastive learning	❌	✅	✅	✅	❌	❌	✅	4
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities	❌	❌	✅	❌	❌	❌	✅	2
Tracking Most Significant Shifts in Nonparametric Contextual Bandits	✅	❌	❌	❌	❌	❌	❌	1
Tracr: Compiled Transformers as a Laboratory for Interpretability	❌	✅	❌	❌	✅	❌	✅	3
Trade-off Between Efficiency and Consistency for Removal-based Explanations	✅	✅	✅	❌	✅	❌	✅	5
Trading-off price for data quality to achieve fair online allocation	✅	❌	❌	❌	✅	❌	✅	3
Train 'n Trade: Foundations of Parameter Markets	✅	❌	✅	❌	❌	❌	✅	3
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models	✅	❌	✅	❌	✅	❌	✅	4
Train Hard, Fight Easy: Robust Meta Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Training Chain-of-Thought via Latent-Variable Inference	✅	✅	✅	❌	✅	❌	✅	5
Training Energy-Based Normalizing Flow with Score-Matching Objectives	❌	✅	✅	✅	✅	❌	✅	5
Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete	❌	❌	❌	❌	❌	❌	❌	0
Training Neural Networks is NP-Hard in Fixed Dimension	❌	❌	❌	❌	❌	❌	❌	0
Training Private Models That Know What They Don’t Know	✅	✅	✅	❌	❌	❌	✅	4
Training Transformers with 4-bit Integers	✅	✅	✅	✅	✅	❌	❌	5
Training Transitive and Commutative Multimodal Transformers with LoReTTa	✅	❌	✅	❌	✅	✅	✅	5
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function	❌	❌	✅	✅	❌	❌	❌	2
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies	❌	❌	✅	❌	❌	❌	✅	2
Training neural operators to preserve invariant measures of chaotic attractors	❌	✅	❌	❌	❌	❌	✅	2
Training on Foveated Images Improves Robustness to Adversarial Attacks	❌	✅	✅	✅	✅	✅	✅	6
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?	❌	✅	❌	❌	❌	❌	✅	2
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis	❌	❌	✅	❌	❌	❌	❌	1
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory	❌	❌	✅	❌	❌	❌	✅	2
Trans-Dimensional Generative Modeling via Jump Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
TransHP: Image Classification with Hierarchical Prompting	❌	✅	✅	✅	✅	❌	✅	5
Transfer Learning with Affine Model Transformation	✅	✅	✅	✅	❌	❌	✅	5
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings	✅	✅	✅	✅	❌	❌	✅	5
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings	✅	✅	✅	❌	✅	❌	✅	5
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity	✅	✅	❌	❌	❌	❌	✅	3
Transformer-based Planning for Symbolic Regression	❌	✅	✅	❌	❌	❌	✅	3
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars	❌	❌	✅	❌	❌	❌	✅	2
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection	❌	✅	❌	❌	✅	❌	✅	3
Transformers learn through gradual rank increase	✅	❌	✅	❌	✅	❌	✅	4
Transformers learn to implement preconditioned gradient descent for in-context learning	❌	✅	❌	❌	❌	❌	✅	2
Transformers over Directed Acyclic Graphs	❌	✅	✅	✅	✅	❌	✅	5
Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction	❌	✅	✅	❌	✅	❌	✅	4
Transition-constant Normalization for Image Enhancement	❌	✅	✅	❌	❌	❌	✅	3
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships	❌	✅	✅	✅	✅	❌	✅	5
Transportability for Bandits with Data from Different Environments	✅	❌	❌	❌	❌	❌	❌	1
Tree Variational Autoencoders	❌	✅	✅	✅	✅	❌	✅	5
Tree of Thoughts: Deliberate Problem Solving with Large Language Models	✅	✅	❌	❌	❌	❌	✅	3
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters	✅	✅	✅	❌	✅	❌	✅	5
Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images	❌	✅	✅	❌	✅	❌	✅	4
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion	✅	✅	✅	✅	✅	❌	✅	6
Trial matching: capturing variability with data-constrained spiking neural networks	❌	✅	✅	❌	✅	❌	✅	4
Triangulation Residual Loss for Data-efficient 3D Pose Estimation	❌	✅	✅	❌	✅	❌	✅	4
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms	✅	✅	✅	❌	✅	❌	✅	5
TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Truly Scale-Equivariant Deep Nets with Fourier Layers	❌	❌	✅	✅	❌	❌	✅	3
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection	✅	✅	✅	❌	✅	✅	✅	6
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach	✅	❌	✅	❌	❌	❌	✅	3
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints	✅	✅	✅	❌	✅	❌	✅	5
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery	✅	❌	✅	❌	✅	❌	✅	4
Tuning Multi-mode Token-level Prompt Alignment across Modalities	✅	✅	✅	✅	❌	❌	✅	5
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods	✅	❌	✅	❌	❌	❌	✅	3
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation	✅	✅	✅	❌	✅	❌	✅	5
Two-Stage Learning to Defer with Multiple Experts	❌	❌	✅	❌	❌	❌	✅	2
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints	❌	✅	✅	❌	✅	❌	✅	4
Type-to-Track: Retrieve Any Object via Prompt-based Tracking	❌	✅	✅	✅	✅	❌	✅	5
UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene	❌	✅	✅	❌	✅	❌	✅	4
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures	❌	❌	✅	✅	✅	✅	✅	5
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field	❌	✅	✅	✅	❌	❌	✅	4
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition	❌	✅	✅	✅	✅	❌	✅	5
Unbalanced Low-rank Optimal Transport Solvers	✅	✅	✅	✅	✅	✅	✅	7
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?	✅	❌	✅	❌	✅	❌	✅	4
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo	✅	✅	✅	❌	❌	❌	✅	4
Unbiased learning of deep generative models with structured discrete representations	✅	✅	✅	✅	✅	❌	✅	6
Unbounded Differentially Private Quantile and Maximum Estimation	✅	✅	✅	❌	❌	❌	✅	4
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization	✅	✅	✅	✅	❌	❌	✅	5
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Uncertainty Quantification via Neural Posterior Principal Components	❌	✅	✅	✅	❌	❌	✅	4
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Uncertainty-Aware Instance Reweighting for Off-Policy Learning	✅	✅	✅	✅	❌	❌	✅	5
Unconstrained Dynamic Regret via Sparse Coding	✅	✅	✅	❌	❌	❌	✅	4
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback	✅	❌	❌	❌	❌	❌	❌	1
Uncovering Meanings of Embeddings via Partial Orthogonality	✅	❌	✅	❌	❌	❌	✅	3
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation	✅	✅	✅	✅	✅	❌	✅	6
Uncovering and Quantifying Social Biases in Code Generation	❌	✅	✅	✅	❌	❌	✅	4
Uncovering motifs of concurrent signaling across multiple neuronal populations	❌	✅	✅	❌	❌	❌	✅	3
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts	❌	✅	✅	✅	✅	❌	✅	5
Understanding Contrastive Learning via Distributionally Robust Optimization	✅	✅	✅	✅	❌	❌	✅	5
Understanding Deep Gradient Leakage via Inversion Influence Functions	❌	✅	✅	❌	✅	❌	✅	4
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation	❌	❌	✅	✅	✅	❌	✅	4
Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes	❌	✅	✅	✅	❌	❌	✅	4
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization	✅	❌	✅	❌	✅	✅	✅	5
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks	❌	✅	❌	❌	✅	❌	✅	3
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers	❌	❌	✅	❌	✅	❌	✅	3
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
Understanding and Improving Ensemble Adversarial Defense	❌	✅	✅	❌	✅	❌	✅	4
Understanding and Improving Feature Learning for Out-of-Distribution Generalization	✅	✅	✅	✅	✅	✅	✅	7
Understanding and Mitigating Copying in Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry	✅	✅	✅	❌	❌	❌	✅	4
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions	❌	❌	✅	✅	✅	❌	✅	4
Understanding the detrimental class-level effects of data augmentation	❌	❌	✅	✅	✅	✅	✅	5
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL	❌	✅	✅	❌	❌	❌	✅	3
Undirected Probabilistic Model for Tensor Decomposition	❌	✅	✅	✅	✅	✅	✅	6
Unexpected Improvements to Expected Improvement for Bayesian Optimization	❌	✅	✅	❌	✅	❌	✅	4
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models	❌	✅	✅	✅	❌	❌	✅	4
Uni3DETR: Unified 3D Detection Transformer	❌	✅	✅	✅	✅	❌	✅	5
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild	❌	✅	✅	❌	✅	❌	✅	4
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation	✅	✅	✅	❌	✅	❌	✅	5
UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition	❌	✅	✅	✅	❌	❌	✅	4
Unified 3D Segmenter As Prototypical Classifiers	❌	✅	✅	✅	✅	❌	✅	5
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems	❌	❌	✅	❌	✅	✅	✅	4
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy	❌	❌	❌	❌	❌	❌	❌	0
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints	✅	❌	❌	❌	❌	❌	❌	1
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective	✅	✅	✅	✅	❌	❌	✅	5
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation	✅	✅	✅	✅	❌	❌	✅	5
Uniform Convergence with Square-Root Lipschitz Loss	❌	❌	❌	❌	❌	❌	❌	0
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent	❌	❌	❌	❌	❌	❌	❌	0
Unifying GANs and Score-Based Diffusion as Generative Particle Models	✅	✅	✅	✅	✅	✅	✅	7
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model	✅	❌	❌	❌	❌	❌	✅	2
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization	✅	❌	✅	❌	❌	❌	✅	3
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach	✅	❌	❌	❌	❌	❌	❌	1
Universal Prompt Tuning for Graph Neural Networks	❌	✅	✅	❌	❌	❌	✅	3
Universality and Limitations of Prompt Tuning	❌	❌	✅	❌	✅	❌	✅	3
Universality laws for Gaussian mixtures in generalized linear models	❌	❌	✅	❌	❌	❌	✅	2
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift	✅	✅	✅	✅	✅	❌	✅	6
Unleashing the Power of Randomization in Auditing Differentially Private ML	✅	✅	✅	❌	✅	❌	✅	5
Unlimiformer: Long-Range Transformers with Unlimited Length Input	❌	✅	✅	✅	✅	❌	✅	5
Unlocking Deterministic Robustness Certification on ImageNet	❌	✅	✅	✅	✅	❌	✅	5
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization	✅	✅	✅	❌	❌	❌	✅	4
Unpaired Multi-Domain Causal Representation Learning	✅	❌	❌	❌	✅	❌	✅	3
Unsupervised Anomaly Detection with Rejection	❌	✅	✅	✅	✅	❌	✅	5
Unsupervised Behavior Extraction via Random Intent Priors	✅	❌	✅	❌	✅	❌	✅	4
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision	❌	✅	✅	❌	❌	❌	✅	3
Unsupervised Image Denoising with Score Function	✅	❌	✅	❌	✅	❌	✅	4
Unsupervised Learning for Solving the Travelling Salesman Problem	❌	❌	✅	✅	✅	❌	✅	4
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera	❌	✅	✅	❌	✅	❌	❌	3
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction	❌	✅	✅	❌	✅	❌	✅	4
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation	✅	✅	✅	✅	❌	❌	✅	5
Unsupervised Semantic Correspondence Using Stable Diffusion	❌	❌	✅	❌	✅	✅	✅	4
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective	❌	✅	✅	✅	✅	❌	✅	5
Use perturbations when learning from explanations	❌	✅	✅	✅	✅	❌	✅	5
User-Level Differential Privacy With Few Examples Per User	✅	❌	❌	❌	❌	❌	❌	1
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models	✅	❌	✅	❌	❌	✅	✅	4
Utilitarian Algorithm Configuration	✅	✅	✅	❌	❌	❌	✅	4
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs	❌	✅	✅	✅	❌	❌	❌	3
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset	❌	✅	✅	✅	✅	❌	✅	5
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens	✅	✅	✅	❌	✅	❌	✅	5
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models	✅	✅	✅	✅	✅	❌	✅	6
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
VPGTrans: Transfer Visual Prompt Generator across LLMs	❌	✅	✅	❌	✅	❌	✅	4
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation	❌	✅	✅	❌	✅	❌	✅	4
VRA: Variational Rectified Activation for Out-of-distribution Detection	❌	✅	✅	✅	✅	❌	✅	5
VaRT: Variational Regression Trees	❌	✅	✅	❌	✅	❌	✅	4
VanillaNet: the Power of Minimalism in Deep Learning	❌	✅	✅	✅	✅	❌	✅	5
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies	✅	✅	✅	❌	❌	❌	✅	4
Variational Annealing on Graphs for Combinatorial Optimization	❌	✅	✅	✅	✅	❌	✅	5
Variational Gaussian Processes with Decoupled Conditionals	❌	✅	✅	✅	❌	❌	✅	4
Variational Gaussian processes for linear inverse problems	❌	❌	❌	❌	✅	❌	✅	2
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing	❌	❌	✅	✅	❌	❌	✅	3
Variational Inference with Gaussian Score Matching	✅	✅	✅	❌	❌	❌	✅	4
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions	❌	✅	✅	❌	✅	❌	✅	4
Variational Weighting for Kernel Density Ratios	✅	✅	✅	❌	❌	❌	✅	4
VeriX: Towards Verified Explainability of Deep Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Versatile Energy-Based Probabilistic Models for High Energy Physics	✅	✅	✅	❌	❌	❌	✅	4
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields	❌	✅	❌	❌	✅	❌	✅	3
ViSt3D: Video Stylization with 3D CNN	❌	❌	✅	❌	✅	❌	✅	3
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements	❌	❌	✅	✅	✅	❌	✅	4
Video Prediction Models as Rewards for Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos	❌	✅	✅	❌	❌	❌	✅	3
VideoComposer: Compositional Video Synthesis with Motion Controllability	❌	✅	✅	❌	❌	❌	✅	3
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks	❌	✅	✅	✅	❌	❌	✅	4
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution	❌	✅	✅	✅	✅	❌	✅	5
Visual Instruction Inversion: Image Editing via Image Prompting	✅	❌	✅	❌	✅	❌	✅	4
Visual Instruction Tuning	❌	✅	✅	✅	✅	❌	✅	5
Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation	✅	✅	✅	✅	✅	❌	✅	6
Vocabulary-free Image Classification	❌	✅	✅	❌	✅	❌	✅	4
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale	❌	❌	✅	✅	❌	❌	✅	3
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction	❌	❌	✅	❌	✅	❌	✅	3
VoxDet: Voxel Learning for Novel Instance Detection	❌	✅	✅	❌	✅	❌	✅	4
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks	✅	✅	✅	❌	❌	❌	✅	4
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting	✅	✅	✅	✅	✅	❌	✅	6
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding	❌	✅	✅	❌	✅	❌	✅	4
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies	✅	❌	❌	❌	❌	❌	✅	2
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation	✅	✅	✅	❌	✅	❌	✅	5
Wasserstein distributional robustness of neural networks	✅	✅	✅	❌	✅	❌	✅	5
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets	✅	❌	✅	❌	❌	❌	✅	3
Weakly Coupled Deep Q-Networks	✅	✅	❌	❌	✅	❌	✅	4
Weakly Supervised 3D Open-vocabulary Segmentation	✅	✅	❌	❌	✅	❌	✅	4
Weakly-Supervised Audio-Visual Segmentation	❌	❌	✅	✅	❌	❌	✅	3
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping	❌	✅	✅	❌	✅	❌	✅	4
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning	✅	✅	✅	✅	❌	❌	✅	5
Weitzman's Rule for Pandora's Box with Correlations	✅	❌	❌	❌	❌	❌	❌	1
What Can We Learn from Unlearnable Datasets?	✅	✅	✅	✅	❌	❌	✅	5
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?	❌	❌	✅	❌	❌	❌	✅	2
What Do Deep Saliency Models Learn about Visual Attention?	❌	✅	✅	❌	❌	❌	❌	2
What Knowledge Gets Distilled in Knowledge Distillation?	❌	❌	✅	✅	❌	❌	✅	3
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.	✅	✅	✅	✅	✅	❌	✅	6
What Makes Good Examples for Visual In-Context Learning?	❌	✅	✅	❌	❌	❌	✅	3
What Planning Problems Can A Relational Neural Network Solve?	✅	✅	❌	❌	✅	❌	✅	4
What Truly Matters in Trajectory Prediction for Autonomous Driving?	✅	✅	❌	✅	✅	❌	✅	5
What You See is What You Read? Improving Text-Image Alignment Evaluation	❌	✅	✅	✅	✅	❌	✅	5
What can a Single Attention Layer Learn? A Study Through the Random Features Lens	❌	❌	❌	❌	❌	❌	✅	1
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding	❌	✅	✅	✅	❌	❌	❌	3
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization	❌	✅	✅	✅	✅	❌	✅	5
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models	❌	❌	❌	❌	❌	❌	❌	0
What’s Left? Concept Grounding with Logic-Enhanced Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
When Can We Track Significant Preference Shifts in Dueling Bandits?	✅	✅	❌	❌	❌	❌	✅	3
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability	❌	✅	✅	✅	❌	❌	❌	3
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment	❌	✅	✅	❌	✅	❌	✅	4
When Does Confidence-Based Cascade Deferral Suffice?	✅	❌	✅	✅	❌	❌	✅	4
When Does Optimizing a Proper Loss Yield Calibration?	✅	❌	❌	❌	❌	❌	❌	1
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation	❌	❌	✅	✅	✅	❌	✅	4
When are ensembles really effective?	❌	❌	✅	❌	❌	❌	❌	1
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality	❌	❌	❌	❌	❌	❌	❌	0
When is Agnostic Reinforcement Learning Statistically Tractable?	✅	❌	❌	❌	❌	❌	❌	1
Where Did I Come From? Origin Attribution of AI-Generated Images	✅	✅	✅	❌	✅	✅	✅	6
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?	❌	✅	✅	✅	✅	❌	✅	5
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects	❌	❌	❌	❌	❌	❌	✅	1
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness	❌	✅	✅	✅	❌	❌	✅	4
White-Box Transformers via Sparse Rate Reduction	✅	✅	✅	✅	✅	❌	✅	6
Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models	✅	✅	✅	❌	❌	❌	✅	4
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?	✅	❌	✅	✅	❌	❌	✅	4
Why think step by step? Reasoning emerges from the locality of experience	✅	✅	✅	❌	✅	❌	✅	5
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models	❌	✅	✅	❌	❌	❌	✅	3
Window-Based Distribution Shift Detection for Deep Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization	✅	❌	❌	❌	✅	❌	✅	3
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model	✅	✅	✅	❌	✅	❌	✅	5
Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations	✅	✅	✅	❌	❌	❌	✅	4
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis	✅	✅	❌	❌	✅	❌	✅	4
XAGen: 3D Expressive Human Avatars Generation	❌	❌	✅	❌	❌	❌	❌	1
You Only Condense Once: Two Rules for Pruning Condensed Datasets	✅	✅	✅	❌	❌	❌	✅	4
Your representations are in the network: composable and parallel adaptation for large scale models	❌	❌	✅	❌	✅	❌	✅	3
Zero-One Laws of Graph Neural Networks	❌	✅	❌	❌	❌	❌	✅	2
Zero-Regret Performative Prediction Under Inequality Constraints	✅	❌	❌	❌	❌	❌	✅	2
Zero-Shot Anomaly Detection via Batch Normalization	✅	✅	✅	✅	❌	❌	✅	5
Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models	❌	✅	✅	❌	❌	❌	❌	2
Zero-shot causal learning	✅	✅	✅	✅	✅	❌	✅	6
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria	✅	❌	❌	❌	❌	❌	❌	1
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization	✅	❌	✅	❌	❌	❌	✅	3
ZipLM: Inference-Aware Structured Pruning of Language Models	✅	✅	✅	✅	✅	❌	✅	6
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking	❌	✅	✅	❌	✅	✅	✅	5
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences	✅	❌	✅	❌	❌	❌	❌	2
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models	✅	✅	❌	❌	✅	✅	✅	5
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy	✅	❌	✅	❌	❌	❌	✅	3
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data	❌	❌	✅	❌	✅	❌	✅	3
“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization	❌	✅	✅	❌	❌	❌	✅	3