Reproducibility Index

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

Conference on Neural Information Processing Systems (NeurIPS) - 2023

Documentation Rate of Empirical Papers by Reproducibility Variable

Distribution of Empirical Papers by Number of Documented Variables

Website:

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