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..

International Conference on Learning Representations (ICLR) - 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
ICLR	2023	1573	0.66	4.29	96.82%	51.48%

Search Papers

	Pseudocode	Open Source Code	Open Datasets	Dataset Splits	Hardware Specification	Software Dependencies	Experiment Setup
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games	✅	❌	❌	❌	❌	❌	❌	1
$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells	❌	✅	✅	✅	✅	❌	✅	5
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling	❌	✅	✅	✅	❌	❌	✅	4
$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space	❌	❌	✅	❌	❌	❌	✅	2
$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference	❌	✅	✅	❌	❌	❌	✅	3
(Certified!!) Adversarial Robustness for Free!	✅	✅	✅	✅	✅	❌	✅	6
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction	✅	✅	✅	❌	✅	❌	✅	5
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation	❌	✅	✅	✅	✅	❌	✅	5
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation	❌	✅	✅	✅	✅	❌	✅	5
3D generation on ImageNet	❌	✅	✅	❌	✅	❌	✅	4
A CMDP-within-online framework for Meta-Safe Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification	✅	✅	✅	✅	❌	❌	✅	5
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias	❌	✅	✅	✅	❌	❌	✅	4
A Control-Centric Benchmark for Video Prediction	❌	✅	✅	✅	✅	❌	✅	5
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data	❌	✅	✅	❌	✅	❌	✅	4
A Differential Geometric View and Explainability of GNN on Evolving Graphs	✅	❌	✅	❌	❌	❌	✅	3
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming	✅	✅	✅	✅	✅	✅	✅	7
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis	❌	✅	✅	❌	❌	❌	✅	3
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
A General Rank Preserving Framework for Asymmetric Image Retrieval	✅	❌	✅	✅	✅	❌	✅	5
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps	✅	✅	✅	❌	✅	❌	✅	5
A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance	❌	❌	✅	❌	✅	❌	❌	2
A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond	✅	✅	✅	❌	❌	❌	✅	4
A Kernel Perspective of Skip Connections in Convolutional Networks	❌	❌	✅	❌	❌	❌	✅	2
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation	❌	❌	✅	❌	✅	❌	✅	3
A Learning Based Hypothesis Test for Harmful Covariate Shift	✅	✅	✅	✅	❌	❌	✅	5
A Message Passing Perspective on Learning Dynamics of Contrastive Learning	❌	✅	✅	❌	❌	❌	✅	3
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics	❌	✅	✅	✅	✅	❌	✅	5
A Mixture-of-Expert Approach to RL-based Dialogue Management	❌	❌	✅	❌	❌	❌	✅	2
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning	❌	✅	✅	✅	✅	❌	✅	5
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification	✅	✅	✅	❌	✅	❌	✅	5
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment	✅	❌	✅	❌	❌	❌	✅	3
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
A Non-monotonic Self-terminating Language Model	❌	✅	✅	❌	❌	❌	✅	3
A Primal-Dual Framework for Transformers and Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
A Self-Attention Ansatz for Ab-initio Quantum Chemistry	❌	✅	✅	❌	✅	❌	✅	4
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search	✅	✅	✅	✅	✅	❌	✅	6
A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles	✅	✅	✅	❌	✅	❌	✅	5
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks	✅	✅	❌	❌	❌	❌	✅	3
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy	✅	❌	✅	✅	❌	❌	✅	4
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation	❌	✅	✅	✅	✅	❌	✅	5
A Theoretical Framework for Inference and Learning in Predictive Coding Networks	❌	✅	✅	❌	❌	❌	✅	3
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity	✅	❌	✅	✅	❌	❌	✅	4
A Theory of Dynamic Benchmarks	✅	❌	✅	❌	❌	❌	✅	3
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers	❌	❌	✅	✅	❌	❌	✅	3
A Unified Algebraic Perspective on Lipschitz Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games	✅	✅	✅	❌	❌	❌	✅	4
A Unified Framework for Soft Threshold Pruning	✅	✅	✅	❌	❌	❌	✅	4
A VAE for Transformers with Nonparametric Variational Information Bottleneck	❌	✅	✅	✅	✅	❌	✅	5
A View From Somewhere: Human-Centric Face Representations	❌	✅	✅	✅	✅	❌	✅	5
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?	❌	✅	✅	✅	❌	❌	✅	4
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet	✅	✅	✅	✅	❌	✅	✅	6
A law of adversarial risk, interpolation, and label noise	❌	❌	✅	❌	❌	❌	✅	2
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution	❌	✅	✅	❌	❌	❌	✅	3
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation	❌	✅	✅	✅	❌	❌	✅	4
A theoretical study of inductive biases in contrastive learning	❌	❌	✅	❌	❌	❌	✅	2
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.	❌	✅	✅	❌	✅	❌	✅	4
AANG : Automating Auxiliary Learning	✅	✅	✅	✅	✅	❌	✅	6
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks	❌	✅	✅	✅	✅	✅	✅	6
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection	❌	❌	✅	✅	❌	❌	✅	3
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization	✅	✅	✅	✅	❌	❌	✅	5
AIM: Adapting Image Models for Efficient Video Action Recognition	✅	✅	✅	✅	✅	❌	✅	6
Accelerated Single-Call Methods for Constrained Min-Max Optimization	❌	✅	❌	❌	✅	✅	✅	4
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods	✅	❌	✅	❌	✅	❌	✅	4
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time	✅	✅	✅	❌	❌	❌	✅	4
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference	✅	✅	✅	❌	❌	❌	✅	4
Accurate Image Restoration with Attention Retractable Transformer	❌	✅	✅	❌	✅	❌	✅	4
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats	❌	✅	✅	❌	❌	❌	✅	3
Achieve the Minimum Width of Neural Networks for Universal Approximation	❌	❌	❌	❌	❌	❌	❌	0
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits	✅	❌	✅	❌	❌	❌	✅	3
Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation	✅	❌	❌	❌	❌	❌	✅	2
Actionable Neural Representations: Grid Cells from Minimal Constraints	❌	✅	❌	❌	❌	❌	✅	2
Active Image Indexing	✅	✅	✅	❌	❌	❌	✅	4
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation	✅	✅	✅	✅	✅	✅	✅	7
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
Adaptive Optimization in the $\infty$-Width Limit	✅	❌	❌	❌	❌	❌	✅	2
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data	✅	✅	✅	✅	❌	❌	✅	5
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation	✅	✅	✅	✅	✅	✅	✅	7
Advancing Radiograph Representation Learning with Masked Record Modeling	❌	✅	✅	✅	✅	✅	✅	6
Adversarial Attacks on Adversarial Bandits	❌	❌	❌	❌	❌	❌	✅	1
Adversarial Diversity in Hanabi	✅	✅	✅	❌	❌	❌	✅	4
Adversarial Imitation Learning with Preferences	✅	❌	✅	❌	❌	❌	✅	3
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks	❌	✅	✅	✅	✅	❌	✅	5
Agent-based Graph Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Agnostic Learning of General ReLU Activation Using Gradient Descent	✅	❌	❌	❌	❌	❌	❌	1
Agree to Disagree: Diversity through Disagreement for Better Transferability	✅	✅	✅	✅	✅	❌	✅	6
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness	❌	✅	✅	✅	❌	❌	✅	4
Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression	✅	✅	✅	❌	❌	❌	✅	4
Alternating Differentiation for Optimization Layers	✅	✅	✅	❌	✅	❌	✅	5
Amortised Invariance Learning for Contrastive Self-Supervision	✅	❌	✅	✅	✅	❌	✅	5
An Adaptive Policy to Employ Sharpness-Aware Minimization	✅	❌	✅	✅	❌	❌	✅	4
An Additive Instance-Wise Approach to Multi-class Model Interpretation	❌	✅	✅	✅	❌	❌	✅	4
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation	❌	✅	✅	✅	✅	❌	✅	5
An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network	✅	❌	❌	❌	❌	❌	❌	1
An Extensible Multi-modal Multi-task Object Dataset with Materials	❌	❌	✅	✅	✅	❌	✅	4
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion	❌	✅	✅	❌	✅	❌	✅	4
An efficient encoder-decoder architecture with top-down attention for speech separation	❌	✅	✅	✅	✅	❌	✅	5
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning	✅	✅	✅	❌	❌	❌	✅	4
Analogy-Forming Transformers for Few-Shot 3D Parsing	✅	✅	✅	✅	✅	❌	✅	6
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel	❌	✅	✅	✅	✅	❌	✅	5
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections	✅	✅	✅	❌	❌	❌	❌	3
Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions	❌	✅	✅	✅	✅	✅	✅	6
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks	❌	✅	✅	✅	✅	❌	✅	5
Any-scale Balanced Samplers for Discrete Space	✅	❌	✅	❌	✅	✅	✅	5
AnyDA: Anytime Domain Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent	✅	❌	✅	✅	✅	❌	✅	5
Approximate Nearest Neighbor Search through Modern Error-Correcting Codes	✅	✅	✅	❌	❌	❌	✅	4
Approximate Vanishing Ideal Computations at Scale	✅	✅	✅	✅	✅	❌	✅	6
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks	❌	❌	❌	❌	❌	❌	❌	0
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations	✅	❌	✅	❌	❌	❌	✅	3
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing	❌	✅	✅	❌	✅	❌	✅	4
Are More Layers Beneficial to Graph Transformers?	❌	✅	✅	❌	❌	❌	✅	3
Artificial Neuronal Ensembles with Learned Context Dependent Gating	❌	❌	✅	❌	✅	❌	✅	3
Ask Me Anything: A simple strategy for prompting language models	✅	✅	✅	✅	✅	❌	❌	5
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception	✅	❌	✅	✅	✅	❌	✅	5
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making	✅	❌	❌	❌	❌	❌	❌	1
Asynchronous Distributed Bilevel Optimization	✅	✅	✅	❌	❌	❌	✅	4
Asynchronous Gradient Play in Zero-Sum Multi-agent Games	✅	❌	❌	❌	❌	❌	✅	2
AudioGen: Textually Guided Audio Generation	❌	❌	✅	❌	✅	❌	✅	3
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps	✅	✅	✅	✅	✅	❌	✅	6
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation	✅	✅	✅	❌	✅	✅	✅	6
Auto-Encoding Goodness of Fit	✅	✅	✅	✅	❌	❌	✅	5
AutoGT: Automated Graph Transformer Architecture Search	✅	✅	✅	✅	❌	❌	✅	5
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?	❌	✅	✅	✅	❌	❌	✅	4
Automated Data Augmentations for Graph Classification	✅	✅	✅	✅	❌	❌	✅	5
Automatic Chain of Thought Prompting in Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Automating Nearest Neighbor Search Configuration with Constrained Optimization	✅	❌	✅	✅	✅	❌	✅	5
Autoregressive Conditional Neural Processes	✅	✅	✅	✅	✅	❌	✅	6
Average Sensitivity of Decision Tree Learning	✅	✅	✅	❌	❌	❌	✅	4
Avoiding spurious correlations via logit correction	✅	✅	✅	✅	❌	❌	✅	5
BALTO: fast tensor program optimization with diversity-based active learning	✅	❌	✅	❌	✅	❌	✅	4
BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS	❌	✅	✅	✅	✅	❌	✅	5
BC-IRL: Learning Generalizable Reward Functions from Demonstrations	✅	❌	❌	❌	✅	❌	✅	3
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion	❌	✅	✅	✅	❌	❌	✅	4
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging	❌	✅	✅	✅	❌	❌	✅	4
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning	✅	✅	✅	❌	❌	❌	✅	4
Backpropagation through Combinatorial Algorithms: Identity with Projection Works	❌	✅	✅	✅	❌	✅	✅	5
Backstepping Temporal Difference Learning	✅	❌	✅	❌	❌	❌	✅	3
Bag of Tricks for Unsupervised Text-to-Speech	✅	❌	✅	✅	✅	❌	✅	5
Basic Binary Convolution Unit for Binarized Image Restoration Network	❌	✅	✅	❌	✅	❌	✅	4
Batch Multivalid Conformal Prediction	✅	✅	✅	✅	❌	❌	✅	5
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images	❌	✅	✅	✅	❌	❌	✅	4
Bayesian Oracle for bounding information gain in neural encoding models	❌	❌	✅	✅	❌	❌	✅	3
Become a Proficient Player with Limited Data through Watching Pure Videos	✅	✅	✅	❌	❌	❌	✅	4
Behavior Prior Representation learning for Offline Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Behavior Proximal Policy Optimization	✅	✅	✅	❌	❌	❌	✅	4
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition	❌	✅	✅	❌	✅	✅	✅	5
Benchmarking Constraint Inference in Inverse Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware	❌	❌	✅	❌	❌	✅	✅	3
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models	❌	❌	✅	✅	❌	❌	✅	3
Better Generative Replay for Continual Federated Learning	❌	✅	✅	❌	❌	❌	✅	3
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation	❌	❌	✅	✅	✅	❌	✅	4
Betty: An Automatic Differentiation Library for Multilevel Optimization	✅	✅	✅	✅	❌	❌	✅	5
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD	❌	❌	❌	❌	❌	❌	❌	0
Beyond calibration: estimating the grouping loss of modern neural networks	❌	✅	✅	✅	❌	✅	✅	5
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients	✅	✅	❌	❌	✅	❌	✅	4
Bias Propagation in Federated Learning	❌	✅	✅	✅	✅	❌	✅	5
Bidirectional Language Models Are Also Few-shot Learners	❌	❌	✅	❌	✅	❌	✅	3
BigVGAN: A Universal Neural Vocoder with Large-Scale Training	❌	✅	✅	✅	✅	❌	✅	5
Binding Language Models in Symbolic Languages	❌	✅	✅	❌	❌	❌	✅	3
Bispectral Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Bit-Pruning: A Sparse Multiplication-Less Dot-Product	❌	✅	✅	❌	❌	❌	✅	3
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts	✅	✅	✅	✅	❌	❌	❌	4
Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference	✅	❌	✅	❌	✅	❌	✅	4
Blurring Diffusion Models	✅	❌	✅	❌	❌	❌	✅	3
Boosting Adversarial Transferability using Dynamic Cues	❌	✅	✅	✅	✅	❌	✅	5
Boosting Causal Discovery via Adaptive Sample Reweighting	✅	✅	✅	❌	✅	❌	✅	5
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks	✅	✅	✅	❌	✅	❌	✅	5
Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs	❌	✅	✅	✅	❌	❌	✅	4
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint	✅	✅	✅	❌	✅	❌	✅	5
Brain-like representational straightening of natural movies in robust feedforward neural networks	❌	✅	✅	❌	❌	❌	❌	2
BrainBERT: Self-supervised representation learning for intracranial recordings	✅	✅	❌	✅	❌	❌	✅	4
Breaking Correlation Shift via Conditional Invariant Regularizer	✅	❌	✅	✅	❌	❌	✅	4
Bridge the Inference Gaps of Neural Processes via Expectation Maximization	✅	✅	✅	❌	✅	❌	✅	5
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes	✅	✅	✅	✅	❌	❌	✅	5
Bridging the Gap to Real-World Object-Centric Learning	❌	✅	✅	✅	✅	✅	✅	6
Broken Neural Scaling Laws	❌	✅	✅	❌	✅	❌	✅	4
Budgeted Training for Vision Transformer	❌	❌	✅	❌	✅	❌	✅	3
Building Normalizing Flows with Stochastic Interpolants	❌	❌	✅	❌	✅	❌	✅	3
Building a Subspace of Policies for Scalable Continual Learning	✅	✅	✅	❌	✅	❌	✅	5
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning	✅	✅	✅	✅	✅	✅	✅	7
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement	✅	✅	✅	✅	✅	❌	✅	6
CFlowNets: Continuous Control with Generative Flow Networks	✅	✅	✅	❌	❌	❌	✅	4
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning	✅	✅	✅	❌	✅	✅	✅	6
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks	✅	✅	✅	✅	✅	❌	✅	6
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment	❌	✅	✅	✅	✅	❌	✅	5
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos	❌	✅	✅	❌	❌	❌	✅	3
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving	✅	❌	✅	❌	❌	❌	✅	3
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations	✅	✅	❌	❌	✅	❌	✅	4
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition	✅	✅	✅	❌	❌	❌	✅	4
CUTS: Neural Causal Discovery from Irregular Time-Series Data	✅	✅	✅	❌	✅	❌	✅	5
Calibrating Sequence likelihood Improves Conditional Language Generation	✅	❌	✅	✅	❌	❌	✅	4
Calibrating Transformers via Sparse Gaussian Processes	❌	✅	✅	✅	✅	❌	✅	5
Calibrating the Rigged Lottery: Making All Tickets Reliable	✅	✅	✅	❌	❌	❌	✅	4
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems	✅	✅	✅	✅	❌	❌	✅	5
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories	✅	✅	✅	❌	❌	❌	✅	4
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study	✅	❌	✅	❌	❌	❌	✅	3
Can CNNs Be More Robust Than Transformers?	❌	✅	✅	❌	✅	❌	✅	4
Can Neural Networks Learn Implicit Logic from Physical Reasoning?	❌	❌	❌	❌	❌	❌	❌	0
Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?	❌	❌	✅	❌	✅	✅	✅	4
Can We Find Nash Equilibria at a Linear Rate in Markov Games?	✅	❌	❌	❌	❌	❌	✅	2
Can discrete information extraction prompts generalize across language models?	❌	✅	✅	❌	❌	❌	✅	3
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries	✅	✅	✅	❌	✅	❌	✅	5
Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens	❌	✅	✅	❌	✅	❌	✅	4
Causal Balancing for Domain Generalization	✅	✅	✅	✅	✅	❌	✅	6
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning	✅	✅	❌	✅	❌	❌	✅	4
Causal Estimation for Text Data with (Apparent) Overlap Violations	❌	✅	❌	✅	❌	❌	✅	3
Causal Imitation Learning via Inverse Reinforcement Learning	✅	✅	✅	❌	❌	❌	❌	3
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning	❌	✅	✅	❌	❌	❌	✅	3
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems	✅	✅	✅	❌	✅	✅	✅	6
Causality Compensated Attention for Contextual Biased Visual Recognition	❌	❌	✅	✅	❌	❌	✅	3
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication	✅	✅	✅	❌	✅	❌	✅	5
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation	✅	❌	✅	✅	✅	❌	✅	5
Certified Training: Small Boxes are All You Need	❌	✅	✅	❌	❌	❌	❌	2
Characteristic Neural Ordinary Differential Equation	✅	✅	✅	❌	✅	❌	✅	5
Characterizing intrinsic compositionality in transformers with Tree Projections	✅	❌	✅	✅	❌	❌	✅	4
Characterizing the Influence of Graph Elements	❌	✅	✅	✅	❌	❌	❌	3
Characterizing the spectrum of the NTK via a power series expansion	❌	✅	✅	❌	❌	❌	✅	3
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization	❌	✅	✅	✅	❌	❌	✅	4
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning	✅	❌	❌	✅	✅	❌	✅	4
ChiroDiff: Modelling chirographic data with Diffusion Models	❌	✅	✅	✅	❌	❌	✅	4
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length	❌	✅	✅	✅	✅	❌	✅	5
Choreographer: Learning and Adapting Skills in Imagination	✅	✅	✅	✅	✅	❌	✅	6
CircNet: Meshing 3D Point Clouds with Circumcenter Detection	❌	✅	✅	❌	❌	❌	✅	3
CktGNN: Circuit Graph Neural Network for Electronic Design Automation	❌	✅	✅	❌	✅	❌	✅	4
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features	✅	✅	✅	❌	❌	❌	✅	4
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only	✅	❌	✅	❌	❌	❌	❌	2
Clifford Neural Layers for PDE Modeling	✅	✅	❌	❌	✅	❌	✅	4
CoRTX: Contrastive Framework for Real-time Explanation	✅	✅	✅	✅	✅	❌	✅	6
Code Translation with Compiler Representations	❌	❌	✅	❌	✅	❌	✅	3
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code	❌	❌	✅	✅	✅	❌	✅	4
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis	❌	✅	✅	❌	✅	❌	✅	4
CodeT: Code Generation with Generated Tests	❌	✅	✅	❌	❌	❌	✅	3
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers	❌	✅	✅	❌	✅	❌	✅	4
Collaborative Pure Exploration in Kernel Bandit	✅	❌	❌	❌	✅	❌	✅	3
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
Combinatorial Pure Exploration of Causal Bandits	✅	❌	❌	❌	❌	❌	❌	1
Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models	❌	❌	❌	❌	❌	❌	✅	1
Competitive Physics Informed Networks	❌	✅	✅	✅	✅	❌	✅	5
Complexity-Based Prompting for Multi-step Reasoning	❌	✅	✅	✅	❌	❌	✅	4
Composing Ensembles of Pre-trained Models via Iterative Consensus	❌	❌	✅	❌	✅	❌	✅	3
Composing Task Knowledge With Modular Successor Feature Approximators	❌	❌	✅	❌	❌	❌	✅	2
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions	❌	❌	✅	✅	✅	❌	✅	4
Compositional Law Parsing with Latent Random Functions	❌	✅	✅	✅	✅	❌	✅	5
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection	❌	✅	✅	✅	❌	❌	✅	4
Compositional Semantic Parsing with Large Language Models	❌	❌	✅	✅	❌	❌	✅	3
Compositional Task Representations for Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
Compositionality with Variation Reliably Emerges in Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Compressing multidimensional weather and climate data into neural networks	❌	✅	✅	❌	✅	❌	✅	4
Computational Language Acquisition with Theory of Mind	❌	✅	✅	✅	❌	❌	✅	4
Computing all Optimal Partial Transports	❌	✅	✅	❌	✅	❌	✅	4
Concept Gradient: Concept-based Interpretation Without Linear Assumption	❌	✅	✅	✅	❌	❌	✅	4
Concept-level Debugging of Part-Prototype Networks	✅	✅	✅	❌	✅	❌	✅	5
Conditional Antibody Design as 3D Equivariant Graph Translation	❌	✅	✅	✅	✅	❌	✅	5
Conditional Positional Encodings for Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
Confidence Estimation Using Unlabeled Data	✅	❌	✅	✅	❌	❌	✅	4
Confidence-Based Feature Imputation for Graphs with Partially Known Features	✅	✅	✅	✅	✅	✅	✅	7
Confidence-Conditioned Value Functions for Offline Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees	✅	✅	✅	✅	✅	❌	✅	6
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization	✅	✅	✅	❌	❌	❌	✅	4
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation	❌	✅	✅	✅	❌	❌	✅	4
Constraining Representations Yields Models That Know What They Don't Know	✅	❌	✅	✅	❌	❌	✅	4
Constructive TT-representation of the tensors given as index interaction functions with applications	✅	✅	❌	❌	❌	❌	❌	2
Context-enriched molecule representations improve few-shot drug discovery	❌	✅	✅	✅	✅	❌	✅	5
Contextual Convolutional Networks	❌	✅	✅	✅	✅	❌	✅	5
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining	❌	✅	✅	✅	✅	❌	✅	5
Contextual bandits with concave rewards, and an application to fair ranking	✅	❌	✅	❌	❌	❌	✅	3
Continual Pre-training of Language Models	❌	✅	✅	❌	❌	❌	✅	3
Continual Transformers: Redundancy-Free Attention for Online Inference	❌	✅	✅	✅	✅	❌	✅	5
Continual Unsupervised Disentangling of Self-Organizing Representations	❌	✅	✅	❌	❌	❌	✅	3
Continual evaluation for lifelong learning: Identifying the stability gap	❌	✅	✅	✅	❌	❌	✅	4
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization	✅	❌	❌	❌	❌	❌	✅	2
Continuous PDE Dynamics Forecasting with Implicit Neural Representations	✅	✅	✅	❌	✅	❌	✅	5
Continuous pseudo-labeling from the start	✅	❌	✅	✅	✅	❌	✅	5
Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins	❌	✅	✅	✅	✅	✅	✅	6
Continuous-time identification of dynamic state-space models by deep subspace encoding	❌	✅	✅	✅	❌	❌	✅	4
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond	❌	✅	✅	✅	✅	❌	✅	5
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning	❌	✅	✅	✅	✅	❌	✅	5
Contrastive Audio-Visual Masked Autoencoder	❌	✅	✅	✅	✅	❌	✅	5
Contrastive Corpus Attribution for Explaining Representations	❌	✅	✅	✅	❌	❌	✅	4
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions	❌	❌	✅	✅	❌	❌	✅	3
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	❌	✅	✅	✅	✅	❌	✅	5
Contrastive Meta-Learning for Partially Observable Few-Shot Learning	✅	✅	✅	✅	✅	❌	✅	6
Copy is All You Need	✅	✅	✅	✅	✅	❌	✅	6
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation	✅	✅	✅	❌	❌	❌	✅	4
Corrupted Image Modeling for Self-Supervised Visual Pre-Training	❌	❌	✅	✅	✅	❌	✅	4
Coupled Multiwavelet Operator Learning for Coupled Differential Equations	❌	✅	✅	❌	✅	❌	✅	4
Coverage-centric Coreset Selection for High Pruning Rates	✅	✅	✅	✅	✅	❌	✅	6
CrAM: A Compression-Aware Minimizer	✅	✅	✅	✅	✅	✅	✅	7
Critic Sequential Monte Carlo	✅	✅	✅	✅	✅	❌	✅	6
Cross-Layer Retrospective Retrieving via Layer Attention	✅	✅	✅	✅	✅	❌	✅	6
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification	❌	✅	✅	❌	❌	❌	✅	3
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots	❌	✅	✅	❌	✅	❌	✅	4
Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation	❌	❌	✅	✅	✅	❌	✅	4
Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization	❌	❌	✅	✅	❌	❌	✅	3
D4AM: A General Denoising Framework for Downstream Acoustic Models	✅	✅	✅	✅	❌	❌	✅	5
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory	✅	❌	❌	❌	✅	❌	✅	3
DAG Learning on the Permutahedron	✅	✅	✅	❌	✅	❌	✅	5
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks	✅	❌	✅	❌	✅	❌	✅	4
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity	✅	✅	✅	❌	✅	✅	✅	6
DAVA: Disentangling Adversarial Variational Autoencoder	✅	✅	✅	❌	❌	❌	✅	4
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection	❌	❌	✅	✅	✅	❌	✅	4
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability	❌	✅	✅	✅	❌	❌	✅	4
DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION	✅	✅	✅	❌	❌	❌	✅	4
DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS	❌	✅	✅	❌	✅	❌	✅	4
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems	❌	✅	✅	❌	✅	✅	✅	5
DFPC: Data flow driven pruning of coupled channels without data.	✅	✅	✅	❌	✅	✅	✅	6
DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline	✅	❌	✅	✅	✅	❌	✅	5
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion	✅	✅	✅	✅	✅	❌	✅	6
DINO as a von Mises-Fisher mixture model	❌	❌	✅	✅	✅	❌	✅	4
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection	❌	❌	✅	✅	✅	❌	✅	4
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images	✅	✅	✅	❌	❌	❌	✅	4
DamoFD: Digging into Backbone Design on Face Detection	✅	✅	✅	✅	✅	❌	✅	6
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer	❌	✅	✅	✅	❌	❌	✅	4
Data Valuation Without Training of a Model	❌	✅	✅	✅	✅	❌	✅	5
Data augmentation alone can improve adversarial training	✅	✅	✅	✅	✅	✅	✅	7
Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity	✅	✅	✅	❌	❌	❌	✅	4
Dataless Knowledge Fusion by Merging Weights of Language Models	✅	✅	✅	✅	❌	❌	✅	5
Dataset Pruning: Reducing Training Data by Examining Generalization Influence	✅	❌	✅	❌	✅	❌	✅	4
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics	❌	✅	❌	❌	✅	❌	✅	3
De Novo Molecular Generation via Connection-aware Motif Mining	✅	✅	✅	❌	✅	❌	✅	5
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing	❌	✅	✅	✅	❌	❌	✅	4
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training	❌	✅	✅	✅	✅	❌	✅	5
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases	❌	✅	✅	✅	❌	❌	✅	4
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games	✅	❌	❌	❌	❌	❌	❌	1
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models	✅	✅	✅	❌	❌	❌	✅	4
Decision S4: Efficient Sequence-Based RL via State Spaces Layers	✅	❌	✅	❌	✅	❌	✅	4
Decision Transformer under Random Frame Dropping	✅	❌	✅	❌	❌	❌	✅	3
Decompose to Generalize: Species-Generalized Animal Pose Estimation	✅	❌	✅	✅	❌	❌	✅	4
Decomposed Prompting: A Modular Approach for Solving Complex Tasks	✅	✅	✅	✅	❌	❌	✅	5
Decompositional Generation Process for Instance-Dependent Partial Label Learning	✅	✅	✅	✅	❌	❌	✅	5
Deconstructing Distributions: A Pointwise Framework of Learning	❌	❌	✅	❌	❌	❌	✅	2
Decoupled Training for Long-Tailed Classification With Stochastic Representations	✅	✅	✅	✅	✅	❌	✅	6
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths	❌	✅	✅	✅	✅	❌	✅	5
Deep Ensembles for Graphs with Higher-order Dependencies	❌	✅	✅	✅	❌	✅	✅	5
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models	❌	✅	✅	❌	✅	❌	✅	4
Deep Generative Symbolic Regression	✅	✅	✅	✅	✅	❌	✅	6
Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization	✅	✅	✅	✅	❌	❌	✅	5
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?	❌	❌	✅	❌	❌	❌	✅	2
Deep Learning on Implicit Neural Representations of Shapes	❌	✅	✅	✅	✅	❌	✅	5
Deep Ranking Ensembles for Hyperparameter Optimization	✅	✅	✅	✅	❌	❌	✅	5
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis	✅	✅	✅	✅	❌	❌	✅	5
Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation	✅	❌	✅	❌	❌	❌	✅	3
Deep Variational Implicit Processes	❌	✅	✅	❌	❌	❌	✅	3
Defending against Adversarial Audio via Diffusion Model	❌	✅	✅	✅	✅	❌	✅	5
Deja Vu: Continual Model Generalization for Unseen Domains	❌	✅	✅	❌	❌	❌	✅	3
Delving into Semantic Scale Imbalance	✅	❌	✅	✅	✅	❌	✅	5
Denoising Diffusion Error Correction Codes	✅	✅	✅	❌	✅	❌	✅	5
Denoising Diffusion Samplers	✅	❌	✅	❌	✅	❌	✅	4
Denoising Masked Autoencoders Help Robust Classification	❌	✅	✅	✅	❌	❌	✅	4
DensePure: Understanding Diffusion Models for Adversarial Robustness	✅	✅	✅	✅	❌	❌	✅	5
Depth Separation with Multilayer Mean-Field Networks	❌	❌	✅	❌	❌	❌	✅	2
DepthFL : Depthwise Federated Learning for Heterogeneous Clients	✅	❌	✅	❌	❌	❌	✅	3
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling	❌	✅	✅	✅	✅	❌	✅	5
Deterministic training of generative autoencoders using invertible layers	✅	✅	✅	✅	✅	❌	✅	6
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics	✅	❌	❌	❌	✅	❌	✅	3
DiGress: Discrete Denoising diffusion for graph generation	✅	✅	✅	✅	❌	❌	❌	4
Diagnosing and Rectifying Vision Models using Language	❌	✅	✅	✅	❌	❌	✅	4
Dichotomy of Control: Separating What You Can Control from What You Cannot	✅	✅	✅	❌	✅	❌	✅	5
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking	✅	✅	✅	✅	✅	✅	✅	7
DiffEdit: Diffusion-based semantic image editing with mask guidance	❌	❌	✅	✅	✅	❌	✅	4
DiffMimic: Efficient Motion Mimicking with Differentiable Physics	✅	✅	✅	❌	✅	❌	✅	5
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models	✅	✅	✅	✅	✅	❌	✅	6
Differentiable Mathematical Programming for Object-Centric Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model	✅	❌	❌	❌	❌	❌	❌	1
Differentially Private Adaptive Optimization with Delayed Preconditioners	✅	✅	✅	❌	❌	❌	✅	4
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models	❌	✅	✅	❌	✅	✅	✅	5
DiffusER: Diffusion via Edit-based Reconstruction	❌	❌	✅	✅	✅	❌	✅	4
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Diffusion Models Already Have A Semantic Latent Space	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Models for Causal Discovery via Topological Ordering	✅	✅	✅	❌	❌	❌	✅	4
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
Diffusion Posterior Sampling for General Noisy Inverse Problems	✅	✅	✅	✅	✅	❌	✅	6
Diffusion Probabilistic Fields	✅	❌	✅	❌	✅	❌	✅	4
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem	✅	✅	✅	❌	✅	❌	✅	5
Diffusion-GAN: Training GANs with Diffusion	✅	❌	✅	❌	✅	❌	✅	4
Diffusion-based Image Translation using disentangled style and content representation	✅	✅	✅	❌	✅	❌	✅	5
Dilated convolution with learnable spacings	✅	✅	✅	✅	✅	❌	✅	6
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs	❌	✅	✅	❌	✅	❌	✅	4
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Discovering Evolution Strategies via Meta-Black-Box Optimization	✅	✅	✅	❌	✅	❌	✅	5
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data	❌	✅	✅	✅	✅	❌	✅	5
Discovering Informative and Robust Positives for Video Domain Adaptation	✅	❌	✅	❌	✅	❌	✅	4
Discovering Latent Knowledge in Language Models Without Supervision	✅	✅	✅	❌	❌	❌	✅	4
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality	✅	❌	✅	❌	❌	❌	✅	3
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation	✅	❌	✅	✅	✅	❌	✅	5
Discrete Predictor-Corrector Diffusion Models for Image Synthesis	❌	❌	✅	❌	✅	❌	✅	3
Disentanglement of Correlated Factors via Hausdorff Factorized Support	✅	✅	✅	✅	❌	✅	✅	6
Disentanglement with Biological Constraints: A Theory of Functional Cell Types	❌	✅	✅	❌	❌	❌	✅	3
Disentangling Learning Representations with Density Estimation	❌	✅	✅	✅	✅	❌	✅	5
Disentangling the Mechanisms Behind Implicit Regularization in SGD	❌	✅	✅	❌	✅	❌	✅	4
Disparate Impact in Differential Privacy from Gradient Misalignment	✅	✅	✅	✅	✅	✅	✅	7
Distilling Cognitive Backdoor Patterns within an Image	✅	✅	✅	❌	✅	❌	✅	5
Distilling Model Failures as Directions in Latent Space	❌	✅	✅	✅	✅	✅	✅	6
Distributed Differential Privacy in Multi-Armed Bandits	✅	✅	✅	❌	❌	❌	✅	4
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees	✅	✅	✅	❌	✅	❌	✅	5
Distributional Meta-Gradient Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Distributionally Robust Post-hoc Classifiers under Prior Shifts	❌	✅	✅	✅	❌	❌	✅	4
Distributionally Robust Recourse Action	✅	✅	✅	❌	❌	✅	✅	5
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement	✅	✅	✅	❌	❌	❌	✅	4
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors	❌	✅	✅	❌	✅	❌	✅	4
Do We Really Need Complicated Model Architectures For Temporal Networks?	❌	✅	✅	✅	✅	✅	✅	6
DocPrompting: Generating Code by Retrieving the Docs	❌	✅	✅	✅	✅	❌	✅	5
Does Deep Learning Learn to Abstract? A Systematic Probing Framework	❌	✅	✅	✅	✅	❌	✅	5
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?	✅	✅	✅	✅	❌	❌	✅	5
Does Zero-Shot Reinforcement Learning Exist?	✅	✅	✅	❌	❌	❌	✅	4
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach	✅	❌	✅	✅	✅	❌	✅	5
Domain Generalization via Heckman-type Selection Models	✅	✅	✅	✅	❌	❌	✅	5
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation	❌	✅	✅	❌	❌	❌	✅	3
Don’t fear the unlabelled: safe semi-supervised learning via debiasing	❌	✅	✅	✅	❌	❌	✅	4
Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure	✅	❌	✅	✅	❌	❌	✅	4
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness	❌	✅	✅	✅	✅	❌	✅	5
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs	❌	✅	✅	✅	❌	✅	✅	5
DreamFusion: Text-to-3D using 2D Diffusion	✅	❌	✅	❌	✅	❌	✅	4
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training	❌	✅	✅	✅	✅	✅	✅	6
Dual Algorithmic Reasoning	✅	❌	✅	✅	❌	❌	✅	4
Dual Diffusion Implicit Bridges for Image-to-Image Translation	✅	✅	✅	❌	❌	❌	❌	3
Dual Student Networks for Data-Free Model Stealing	✅	❌	✅	❌	❌	❌	✅	3
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation	❌	❌	✅	❌	✅	❌	✅	3
DySR: Adaptive Super-Resolution via Algorithm and System Co-design	✅	✅	✅	❌	✅	❌	✅	5
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning	✅	✅	✅	✅	✅	❌	✅	6
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning	✅	✅	✅	✅	✅	❌	✅	6
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting	✅	✅	✅	❌	❌	❌	✅	4
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking	✅	❌	✅	✅	❌	❌	✅	4
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark	✅	✅	✅	✅	✅	❌	✅	6
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers	❌	❌	✅	✅	✅	❌	✅	4
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data	✅	✅	✅	❌	✅	❌	✅	5
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation	✅	✅	✅	❌	✅	❌	✅	5
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret	✅	✅	✅	❌	❌	✅	✅	5
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure	✅	✅	✅	✅	✅	❌	✅	6
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model	✅	❌	✅	❌	✅	❌	✅	4
EVA3D: Compositional 3D Human Generation from 2D Image Collections	❌	✅	✅	❌	❌	❌	❌	2
EVC: Towards Real-Time Neural Image Compression with Mask Decay	❌	✅	✅	❌	✅	✅	✅	5
Easy Differentially Private Linear Regression	✅	✅	✅	❌	❌	❌	✅	4
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis	❌	❌	✅	❌	✅	❌	✅	3
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks	✅	✅	✅	✅	✅	❌	✅	6
Editing models with task arithmetic	❌	✅	✅	✅	❌	❌	✅	4
Effective Self-supervised Pre-training on Low-compute Networks without Distillation	❌	✅	✅	✅	❌	❌	✅	4
Effective passive membership inference attacks in federated learning against overparameterized models	❌	❌	✅	✅	❌	❌	✅	3
Effectively Modeling Time Series with Simple Discrete State Spaces	✅	✅	✅	✅	✅	❌	✅	6
Effects of Graph Convolutions in Multi-layer Networks	❌	❌	✅	❌	✅	❌	✅	3
Efficient Attention via Control Variates	✅	✅	✅	✅	✅	❌	✅	6
Efficient Certified Training and Robustness Verification of Neural ODEs	❌	✅	✅	❌	✅	✅	✅	5
Efficient Conditionally Invariant Representation Learning	✅	✅	✅	✅	❌	❌	✅	5
Efficient Deep Reinforcement Learning Requires Regulating Overfitting	✅	✅	✅	✅	❌	❌	✅	5
Efficient Discrete Multi Marginal Optimal Transport Regularization	✅	✅	✅	✅	✅	❌	✅	6
Efficient Edge Inference by Selective Query	✅	✅	✅	✅	✅	❌	✅	6
Efficient Federated Domain Translation	✅	❌	✅	❌	✅	❌	✅	4
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data	✅	✅	✅	✅	✅	❌	✅	6
Efficient Offline Policy Optimization with a Learned Model	✅	✅	✅	❌	✅	❌	✅	5
Efficient Planning in a Compact Latent Action Space	✅	✅	✅	❌	✅	❌	✅	5
Efficient approximation of neural population structure and correlations with probabilistic circuits	❌	✅	✅	✅	❌	❌	✅	4
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time	❌	✅	✅	❌	❌	❌	✅	3
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games	✅	❌	❌	❌	❌	❌	❌	1
Efficiently Controlling Multiple Risks with Pareto Testing	✅	✅	✅	✅	❌	❌	✅	5
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement	❌	✅	✅	✅	✅	❌	✅	5
Emergence of Maps in the Memories of Blind Navigation Agents	❌	❌	✅	❌	❌	❌	✅	2
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task	✅	✅	✅	✅	❌	❌	✅	5
Empowering Graph Representation Learning with Test-Time Graph Transformation	✅	✅	✅	✅	✅	❌	✅	6
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution	✅	❌	✅	❌	❌	❌	✅	3
Encoding Recurrence into Transformers	❌	❌	✅	✅	✅	❌	✅	4
Energy-Based Test Sample Adaptation for Domain Generalization	✅	✅	✅	✅	✅	❌	✅	6
Energy-Inspired Self-Supervised Pretraining for Vision Models	✅	❌	✅	✅	❌	❌	✅	4
Energy-based Out-of-Distribution Detection for Graph Neural Networks	❌	✅	✅	✅	✅	✅	✅	6
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions	✅	❌	✅	✅	✅	❌	✅	5
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems	❌	✅	❌	✅	✅	✅	✅	5
Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints	✅	❌	✅	❌	✅	❌	✅	4
Equal Improvability: A New Fairness Notion Considering the Long-term Impact	✅	✅	✅	❌	❌	❌	✅	4
EquiMod: An Equivariance Module to Improve Visual Instance Discrimination	❌	✅	✅	✅	❌	❌	✅	4
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs	❌	✅	✅	✅	✅	❌	✅	5
Equivariance-aware Architectural Optimization of Neural Networks	✅	❌	✅	✅	❌	❌	✅	4
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning	✅	✅	❌	❌	✅	❌	✅	4
Equivariant Energy-Guided SDE for Inverse Molecular Design	✅	✅	✅	✅	❌	❌	✅	5
Equivariant Hypergraph Diffusion Neural Operators	✅	✅	✅	✅	✅	❌	✅	6
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design	✅	✅	✅	✅	❌	❌	✅	5
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning	✅	✅	✅	❌	❌	❌	✅	4
Estimating individual treatment effects under unobserved confounding using binary instruments	✅	✅	✅	✅	✅	❌	✅	6
Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation	❌	✅	✅	✅	✅	✅	✅	6
Evaluating Long-Term Memory in 3D Mazes	❌	✅	❌	✅	❌	❌	✅	3
Evaluating Representations with Readout Model Switching	✅	❌	✅	✅	❌	❌	✅	4
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation	❌	✅	✅	✅	✅	✅	✅	6
Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation	✅	❌	✅	✅	❌	❌	✅	4
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems	✅	❌	✅	✅	✅	❌	✅	5
Evolving Populations of Diverse RL Agents with MAP-Elites	✅	✅	✅	❌	❌	❌	✅	4
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods	✅	❌	❌	❌	❌	❌	✅	2
Explaining RL Decisions with Trajectories	✅	❌	✅	❌	✅	❌	✅	4
Explaining Temporal Graph Models through an Explorer-Navigator Framework	✅	✅	✅	✅	✅	❌	✅	6
Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation	❌	✅	✅	✅	✅	❌	✅	5
Explicitly Minimizing the Blur Error of Variational Autoencoders	❌	❌	✅	❌	❌	❌	✅	2
Exploring Active 3D Object Detection from a Generalization Perspective	✅	✅	✅	✅	❌	❌	✅	5
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification	❌	✅	✅	✅	✅	❌	✅	5
Exploring Temporally Dynamic Data Augmentation for Video Recognition	❌	✅	✅	✅	✅	❌	✅	5
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders	❌	❌	✅	✅	✅	❌	✅	4
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness	❌	✅	✅	✅	✅	❌	✅	5
Exploring perceptual straightness in learned visual representations	❌	✅	✅	❌	❌	✅	❌	3
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping	✅	✅	✅	✅	✅	❌	✅	6
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms	✅	❌	❌	❌	❌	❌	❌	1
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion	❌	✅	✅	✅	✅	✅	✅	6
Expressive Monotonic Neural Networks	❌	✅	✅	❌	❌	❌	✅	3
Extracting Robust Models with Uncertain Examples	✅	✅	✅	✅	✅	❌	✅	6
Extreme Q-Learning: MaxEnt RL without Entropy	✅	✅	✅	❌	❌	❌	✅	4
Extremely Simple Activation Shaping for Out-of-Distribution Detection	✅	✅	✅	✅	✅	❌	✅	6
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data	✅	✅	✅	❌	✅	❌	✅	5
FIGARO: Controllable Music Generation using Learned and Expert Features	✅	✅	✅	✅	✅	❌	✅	6
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities	❌	✅	✅	❌	✅	✅	✅	5
FIT: A Metric for Model Sensitivity	❌	✅	✅	❌	✅	❌	✅	4
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
Factorized Fourier Neural Operators	❌	✅	✅	✅	✅	❌	✅	5
FaiREE: fair classification with finite-sample and distribution-free guarantee	✅	✅	✅	✅	❌	❌	✅	5
Fair Attribute Completion on Graph with Missing Attributes	✅	✅	✅	❌	❌	❌	✅	4
FairGBM: Gradient Boosting with Fairness Constraints	✅	✅	✅	✅	✅	❌	✅	6
Fairness and Accuracy under Domain Generalization	✅	✅	✅	✅	✅	✅	✅	7
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes	✅	❌	✅	❌	❌	❌	✅	3
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection	❌	✅	✅	❌	❌	❌	✅	3
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems	✅	✅	✅	✅	❌	❌	✅	5
Fast Nonlinear Vector Quantile Regression	❌	✅	✅	✅	✅	❌	✅	5
Fast Sampling of Diffusion Models with Exponential Integrator	✅	✅	✅	❌	❌	❌	✅	4
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search	✅	✅	✅	✅	✅	❌	✅	6
FastFill: Efficient Compatible Model Update	❌	✅	✅	✅	❌	❌	✅	4
Faster Gradient-Free Methods for Escaping Saddle Points	✅	❌	❌	❌	✅	❌	✅	3
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games	✅	❌	❌	❌	❌	❌	❌	1
Faster federated optimization under second-order similarity	✅	✅	✅	❌	❌	❌	✅	4
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Feature selection and low test error in shallow low-rotation ReLU networks	❌	❌	✅	❌	❌	❌	✅	2
FedDAR: Federated Domain-Aware Representation Learning	✅	✅	✅	✅	❌	❌	✅	5
FedExP: Speeding Up Federated Averaging via Extrapolation	✅	✅	✅	❌	❌	❌	✅	4
FedFA: Federated Feature Augmentation	✅	✅	✅	✅	✅	❌	✅	6
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy	✅	❌	✅	❌	✅	❌	✅	4
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach	✅	✅	✅	✅	❌	❌	✅	5
Federated Learning from Small Datasets	✅	✅	✅	❌	❌	❌	✅	4
Federated Nearest Neighbor Machine Translation	❌	✅	✅	✅	✅	❌	✅	5
Federated Neural Bandits	✅	✅	✅	❌	✅	❌	✅	5
Few-Shot Domain Adaptation For End-to-End Communication	✅	✅	❌	✅	✅	❌	✅	5
Few-shot Backdoor Attacks via Neural Tangent Kernels	✅	✅	✅	✅	❌	❌	✅	5
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning	✅	✅	✅	❌	❌	❌	✅	4
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification	✅	✅	✅	✅	✅	❌	✅	6
Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation	❌	❌	✅	✅	❌	❌	✅	3
Finding Actual Descent Directions for Adversarial Training	✅	❌	✅	✅	❌	❌	✅	4
Finding the Global Semantic Representation in GAN through Fréchet Mean	❌	❌	✅	❌	❌	❌	✅	2
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains	❌	❌	❌	❌	❌	❌	❌	0
Fisher-Legendre (FishLeg) optimization of deep neural networks	✅	✅	✅	❌	✅	❌	✅	5
Flow Annealed Importance Sampling Bootstrap	✅	✅	❌	✅	✅	❌	✅	5
Flow Matching for Generative Modeling	❌	❌	✅	✅	❌	❌	✅	3
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow	✅	✅	✅	❌	❌	❌	✅	4
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation	❌	✅	❌	❌	✅	❌	✅	3
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs	✅	✅	✅	✅	✅	❌	✅	6
Fooling SHAP with Stealthily Biased Sampling	✅	✅	✅	✅	❌	❌	✅	5
Formal Mathematics Statement Curriculum Learning	❌	✅	✅	✅	✅	❌	✅	5
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions	✅	❌	✅	❌	❌	❌	❌	2
Free Lunch for Domain Adversarial Training: Environment Label Smoothing	❌	✅	✅	✅	✅	❌	✅	5
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning	✅	✅	✅	❌	✅	❌	✅	5
From $t$-SNE to UMAP with contrastive learning	✅	✅	✅	✅	✅	✅	✅	7
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data	❌	❌	✅	❌	❌	❌	✅	2
Function-Consistent Feature Distillation	❌	✅	✅	✅	✅	❌	✅	5
Function-space regularized Rényi divergences	❌	❌	✅	❌	❌	❌	✅	2
Fundamental Limits in Formal Verification of Message-Passing Neural Networks	❌	❌	❌	❌	❌	❌	❌	0
Fundamental limits on the robustness of image classifiers	✅	❌	✅	❌	❌	❌	❌	2
FunkNN: Neural Interpolation for Functional Generation	❌	✅	✅	❌	✅	❌	✅	4
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation	✅	✅	✅	✅	✅	❌	✅	6
GAIN: On the Generalization of Instructional Action Understanding	❌	✅	✅	❌	❌	❌	✅	3
GAMR: A Guided Attention Model for (visual) Reasoning	✅	❌	✅	✅	❌	❌	✅	4
GEASS: Neural causal feature selection for high-dimensional biological data	❌	❌	✅	❌	❌	❌	✅	2
GFlowNets and variational inference	❌	✅	❌	❌	❌	❌	✅	2
GLM-130B: An Open Bilingual Pre-trained Model	❌	✅	✅	✅	✅	❌	✅	5
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks	✅	❌	✅	❌	✅	✅	✅	5
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure	❌	✅	✅	✅	✅	❌	✅	5
GOOD: Exploring geometric cues for detecting objects in an open world	❌	✅	✅	✅	❌	❌	✅	4
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation	❌	✅	✅	❌	✅	❌	✅	4
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints	✅	✅	✅	❌	✅	❌	✅	5
GReTo: Remedying dynamic graph topology-task discordance via target homophily	❌	✅	✅	❌	❌	❌	✅	3
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis	❌	✅	✅	❌	✅	❌	✅	4
General Neural Gauge Fields	✅	✅	✅	❌	❌	❌	✅	4
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses	❌	❌	✅	❌	❌	❌	✅	2
Generalization and Estimation Error Bounds for Model-based Neural Networks	❌	✅	❌	❌	❌	❌	✅	2
Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time	✅	❌	❌	❌	✅	❌	✅	3
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks	❌	❌	✅	❌	✅	❌	❌	2
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap	❌	❌	✅	✅	❌	❌	✅	3
Generate rather than Retrieve: Large Language Models are Strong Context Generators	❌	✅	✅	✅	✅	❌	✅	5
Generating Diverse Cooperative Agents by Learning Incompatible Policies	✅	✅	✅	❌	❌	❌	✅	4
Generating Sequences by Learning to Self-Correct	✅	✅	✅	✅	❌	❌	✅	5
Generative Augmented Flow Networks	✅	✅	✅	❌	❌	❌	✅	4
Generative Modeling Helps Weak Supervision (and Vice Versa)	✅	✅	✅	✅	✅	❌	✅	6
Generative Modelling with Inverse Heat Dissipation	✅	✅	✅	❌	✅	❌	✅	5
Geometrically regularized autoencoders for non-Euclidean data	✅	✅	✅	✅	✅	❌	✅	6
Git Re-Basin: Merging Models modulo Permutation Symmetries	✅	✅	✅	❌	✅	❌	✅	5
Global Explainability of GNNs via Logic Combination of Learned Concepts	❌	✅	✅	✅	❌	❌	✅	4
Globally Optimal Training of Neural Networks with Threshold Activation Functions	❌	❌	✅	❌	✅	❌	✅	3
GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation	❌	✅	❌	❌	❌	❌	✅	2
Gradient Boosting Performs Gaussian Process Inference	✅	✅	✅	✅	❌	❌	✅	5
Gradient Gating for Deep Multi-Rate Learning on Graphs	❌	❌	✅	✅	✅	❌	✅	4
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models	✅	✅	✅	❌	❌	❌	✅	4
Graph Contrastive Learning for Skeleton-based Action Recognition	❌	✅	✅	✅	✅	❌	✅	5
Graph Domain Adaptation via Theory-Grounded Spectral Regularization	❌	✅	✅	✅	✅	❌	✅	5
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning	✅	✅	✅	✅	✅	✅	✅	7
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs	❌	✅	✅	✅	✅	✅	✅	6
Graph Neural Networks for Link Prediction with Subgraph Sketching	✅	✅	✅	✅	✅	❌	✅	6
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution	✅	✅	✅	✅	✅	✅	✅	7
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems	✅	✅	✅	❌	✅	❌	✅	5
Gray-Box Gaussian Processes for Automated Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement	✅	✅	✅	❌	❌	❌	✅	4
Gromov-Wasserstein Autoencoders	❌	✅	✅	✅	✅	❌	✅	5
Grounding Graph Network Simulators using Physical Sensor Observations	❌	✅	✅	✅	❌	❌	✅	4
Guarded Policy Optimization with Imperfect Online Demonstrations	✅	✅	✅	❌	❌	❌	✅	4
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners	❌	✅	✅	❌	❌	❌	✅	3
Guiding Energy-based Models via Contrastive Latent Variables	✅	✅	✅	❌	✅	❌	✅	5
Guiding Safe Exploration with Weakest Preconditions	✅	✅	✅	❌	❌	❌	✅	4
Guiding continuous operator learning through Physics-based boundary constraints	✅	✅	❌	❌	✅	❌	✅	4
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks	✅	❌	✅	✅	✅	❌	✅	5
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting	❌	✅	✅	❌	✅	❌	✅	4
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style	✅	❌	✅	✅	✅	❌	✅	5
Hebbian Deep Learning Without Feedback	❌	✅	✅	✅	✅	❌	✅	5
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs	✅	✅	✅	✅	❌	❌	✅	5
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles	❌	❌	✅	❌	❌	❌	✅	2
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention	✅	✅	✅	✅	✅	❌	✅	6
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings	✅	✅	✅	❌	✅	❌	✅	5
HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer	❌	✅	✅	✅	✅	✅	✅	6
Hidden Markov Transformer for Simultaneous Machine Translation	✅	✅	✅	✅	✅	❌	✅	6
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement	✅	❌	✅	❌	❌	❌	❌	2
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion	✅	✅	✅	✅	✅	❌	✅	6
Hierarchical Sliced Wasserstein Distance	✅	✅	✅	❌	❌	❌	✅	4
Holistic Adversarially Robust Pruning	✅	✅	✅	❌	✅	❌	✅	5
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers	✅	❌	✅	✅	✅	❌	✅	5
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing	❌	✅	✅	✅	✅	❌	✅	5
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study	❌	✅	❌	❌	❌	❌	✅	2
How I Learned to Stop Worrying and Love Retraining	❌	✅	✅	✅	❌	❌	✅	4
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?	❌	✅	✅	✅	❌	❌	✅	4
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization	❌	✅	✅	✅	✅	❌	✅	5
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules	✅	❌	✅	✅	❌	❌	✅	4
How Sharpness-Aware Minimization Minimizes Sharpness?	❌	❌	❌	❌	❌	❌	❌	0
How gradient estimator variance and bias impact learning in neural networks	❌	✅	✅	❌	❌	❌	✅	3
How robust is unsupervised representation learning to distribution shift?	❌	❌	✅	✅	❌	❌	✅	3
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?	✅	✅	✅	❌	✅	✅	✅	6
How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections	❌	❌	✅	❌	❌	❌	✅	2
How to prepare your task head for finetuning	❌	✅	✅	✅	❌	❌	✅	4
Human Motion Diffusion Model	❌	✅	✅	❌	✅	❌	✅	4
Human MotionFormer: Transferring Human Motions with Vision Transformers	✅	✅	✅	❌	❌	❌	✅	4
Human alignment of neural network representations	✅	❌	✅	✅	❌	❌	✅	4
Human-Guided Fair Classification for Natural Language Processing	❌	✅	✅	❌	❌	✅	✅	4
Human-level Atari 200x faster	✅	❌	✅	❌	✅	❌	✅	4
Humanly Certifying Superhuman Classifiers	✅	✅	✅	❌	❌	❌	✅	4
Hungry Hungry Hippos: Towards Language Modeling with State Space Models	✅	✅	✅	✅	✅	❌	✅	6
Hybrid RL: Using both offline and online data can make RL efficient	✅	✅	❌	❌	✅	❌	✅	4
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization	❌	✅	✅	❌	✅	❌	✅	4
Hyper-Decision Transformer for Efficient Online Policy Adaptation	✅	❌	✅	❌	❌	❌	✅	3
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork	❌	❌	✅	✅	❌	❌	✅	3
Hyperbolic Deep Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations	❌	✅	✅	✅	✅	❌	✅	5
Hyperparameter Optimization through Neural Network Partitioning	❌	✅	✅	✅	✅	✅	✅	6
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models	✅	❌	✅	❌	❌	❌	✅	3
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation	✅	✅	✅	✅	✅	❌	✅	6
IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?	❌	✅	✅	✅	❌	❌	✅	4
ISAAC Newton: Input-based Approximate Curvature for Newton's Method	✅	❌	✅	❌	✅	❌	✅	4
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation	❌	✅	✅	❌	✅	❌	✅	4
Identifiability Results for Multimodal Contrastive Learning	❌	✅	❌	✅	❌	❌	✅	3
Image as Set of Points	❌	✅	✅	✅	✅	❌	✅	5
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction	❌	✅	✅	✅	❌	❌	✅	4
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations	❌	✅	✅	✅	❌	❌	✅	4
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules	❌	✅	✅	❌	✅	❌	✅	4
ImaginaryNet: Learning Object Detectors without Real Images and Annotations	❌	✅	✅	✅	❌	❌	✅	4
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier	✅	✅	✅	✅	✅	❌	✅	6
Imitating Graph-Based Planning with Goal-Conditioned Policies	✅	✅	❌	❌	✅	❌	✅	4
Imitating Human Behaviour with Diffusion Models	✅	✅	❌	❌	✅	❌	✅	4
Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data	❌	❌	✅	❌	❌	❌	✅	2
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions	❌	❌	✅	❌	❌	❌	✅	2
Implicit Regularization for Group Sparsity	✅	✅	❌	❌	❌	❌	✅	3
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent	❌	❌	✅	❌	❌	❌	✅	2
Impossibly Good Experts and How to Follow Them	✅	✅	✅	❌	❌	❌	✅	4
Improved Convergence of Differential Private SGD with Gradient Clipping	✅	❌	✅	❌	✅	❌	✅	4
Improved Learning-augmented Algorithms for k-means and k-medians Clustering	✅	✅	✅	❌	✅	❌	✅	5
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs	✅	❌	❌	❌	❌	❌	❌	1
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography	❌	✅	❌	✅	✅	❌	✅	4
Improving Deep Policy Gradients with Value Function Search	✅	❌	✅	❌	✅	❌	✅	4
Improving Deep Regression with Ordinal Entropy	❌	✅	✅	❌	❌	❌	✅	3
Improving Differentiable Neural Architecture Search by Encouraging Transferability	✅	❌	✅	✅	✅	✅	✅	6
Improving Object-centric Learning with Query Optimization	✅	✅	✅	❌	❌	❌	✅	4
Improving Out-of-distribution Generalization with Indirection Representations	❌	❌	✅	❌	✅	❌	✅	3
Improving the imputation of missing data with Markov Blanket discovery	✅	✅	✅	❌	❌	❌	✅	4
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations	✅	❌	✅	✅	✅	❌	✅	5
In-context Reinforcement Learning with Algorithm Distillation	✅	❌	❌	❌	❌	❌	✅	2
In-sample Actor Critic for Offline Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
InCoder: A Generative Model for Code Infilling and Synthesis	❌	✅	✅	✅	✅	❌	✅	5
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning	❌	❌	✅	✅	❌	❌	✅	3
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks	✅	✅	✅	❌	❌	❌	✅	4
Incremental Learning of Structured Memory via Closed-Loop Transcription	✅	❌	✅	✅	✅	❌	✅	5
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning	✅	✅	✅	❌	✅	❌	✅	5
Individual Privacy Accounting with Gaussian Differential Privacy	✅	✅	✅	❌	❌	❌	✅	4
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats	✅	❌	✅	❌	❌	❌	✅	3
Information Plane Analysis for Dropout Neural Networks	✅	✅	✅	❌	❌	❌	✅	4
Information-Theoretic Analysis of Unsupervised Domain Adaptation	✅	❌	✅	✅	✅	❌	✅	5
Information-Theoretic Diffusion	✅	❌	✅	✅	✅	❌	✅	5
Instance-wise Batch Label Restoration via Gradients in Federated Learning	✅	✅	✅	❌	❌	❌	✅	4
Integrating Symmetry into Differentiable Planning with Steerable Convolutions	✅	❌	✅	✅	❌	❌	✅	4
Interaction-Based Disentanglement of Entities for Object-Centric World Models	❌	❌	✅	❌	❌	❌	✅	2
Interactive Portrait Harmonization	❌	✅	✅	❌	✅	❌	✅	4
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation	✅	❌	❌	❌	❌	❌	✅	2
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small	✅	❌	❌	❌	❌	❌	✅	2
Interpretability with full complexity by constraining feature information	❌	✅	✅	✅	✅	❌	✅	5
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization	✅	✅	✅	❌	✅	❌	✅	5
Interpretable Geometric Deep Learning via Learnable Randomness Injection	❌	✅	✅	✅	❌	❌	✅	4
Interpretations of Domain Adaptations via Layer Variational Analysis	❌	✅	✅	✅	✅	❌	✅	5
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning	❌	❌	✅	❌	✅	❌	✅	3
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?	❌	✅	✅	❌	✅	❌	✅	4
Is Attention All That NeRF Needs?	✅	❌	✅	✅	❌	❌	✅	4
Is Conditional Generative Modeling all you need for Decision Making?	✅	❌	✅	❌	❌	❌	✅	3
Is Forgetting Less a Good Inductive Bias for Forward Transfer?	✅	❌	✅	✅	❌	❌	✅	4
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function	✅	❌	✅	❌	❌	❌	✅	3
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization	✅	✅	✅	✅	❌	❌	✅	5
Is a Caption Worth a Thousand Images? A Study on Representation Learning	❌	✅	✅	❌	❌	❌	✅	3
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification	❌	✅	✅	✅	✅	❌	✅	5
Iterative Circuit Repair Against Formal Specifications	✅	✅	✅	✅	✅	✅	✅	7
Iterative Patch Selection for High-Resolution Image Recognition	✅	✅	✅	✅	✅	❌	✅	6
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Jointly Learning Visual and Auditory Speech Representations from Raw Data	❌	✅	✅	✅	✅	❌	✅	5
Kernel Neural Optimal Transport	❌	✅	✅	❌	✅	❌	✅	4
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP	❌	✅	✅	❌	✅	❌	✅	4
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution	❌	✅	✅	✅	❌	❌	✅	4
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models	❌	❌	✅	✅	✅	❌	✅	4
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts	❌	✅	✅	✅	❌	❌	✅	4
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals	✅	❌	✅	❌	✅	❌	✅	4
LAVA: Data Valuation without Pre-Specified Learning Algorithms	❌	✅	✅	✅	✅	❌	❌	4
LDMIC: Learning-based Distributed Multi-view Image Coding	❌	✅	✅	✅	✅	✅	✅	6
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence	✅	✅	✅	✅	✅	❌	✅	6
LMSeg: Language-guided Multi-dataset Segmentation	❌	❌	✅	✅	✅	❌	✅	4
LPT: Long-tailed Prompt Tuning for Image Classification	❌	✅	✅	❌	✅	❌	✅	4
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Label Propagation with Weak Supervision	❌	✅	✅	✅	✅	❌	✅	5
Label-free Concept Bottleneck Models	❌	✅	✅	✅	✅	❌	✅	5
Language Modelling with Pixels	✅	✅	✅	✅	✅	❌	✅	6
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought	✅	✅	✅	❌	❌	❌	✅	4
Language Models Can Teach Themselves to Program Better	❌	✅	✅	❌	❌	❌	✅	3
Language Models are Realistic Tabular Data Generators	❌	✅	✅	❌	✅	❌	✅	4
Language models are multilingual chain-of-thought reasoners	❌	❌	✅	✅	❌	❌	✅	3
Large Language Models are Human-Level Prompt Engineers	✅	✅	✅	✅	❌	❌	✅	5
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations	❌	✅	✅	✅	❌	✅	✅	5
Latent Bottlenecked Attentive Neural Processes	❌	✅	✅	❌	✅	❌	✅	4
Latent Graph Inference using Product Manifolds	❌	✅	✅	✅	✅	❌	✅	5
Latent Neural ODEs with Sparse Bayesian Multiple Shooting	❌	✅	✅	✅	✅	✅	✅	6
Latent State Marginalization as a Low-cost Approach for Improving Exploration	✅	✅	✅	❌	✅	❌	✅	5
Latent Variable Representation for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations	❌	✅	✅	✅	✅	❌	✅	5
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection	❌	✅	✅	❌	❌	✅	✅	4
Learnable Graph Convolutional Attention Networks	❌	✅	✅	✅	✅	❌	✅	5
Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks	✅	✅	✅	❌	❌	❌	✅	4
Learned Index with Dynamic $\epsilon$	✅	✅	✅	❌	✅	❌	✅	5
Learning About Progress From Experts	✅	❌	✅	❌	✅	❌	✅	4
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward	❌	✅	✅	❌	❌	❌	✅	3
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition	✅	❌	❌	❌	❌	❌	❌	1
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations	✅	✅	✅	❌	❌	❌	✅	4
Learning Controllable Adaptive Simulation for Multi-resolution Physics	❌	✅	✅	❌	✅	❌	✅	4
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model	✅	✅	✅	✅	✅	✅	✅	7
Learning Diffusion Bridges on Constrained Domains	✅	✅	✅	❌	❌	❌	✅	4
Learning Domain-Agnostic Representation for Disease Diagnosis	❌	❌	✅	✅	❌	❌	✅	3
Learning Fair Graph Representations via Automated Data Augmentations	✅	✅	❌	✅	❌	❌	✅	4
Learning Fast and Slow for Online Time Series Forecasting	✅	✅	✅	✅	❌	❌	✅	5
Learning Group Importance using the Differentiable Hypergeometric Distribution	✅	✅	✅	✅	✅	❌	✅	6
Learning Harmonic Molecular Representations on Riemannian Manifold	❌	✅	✅	✅	✅	❌	✅	5
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network	❌	✅	✅	✅	❌	❌	✅	4
Learning Hierarchical Protein Representations via Complete 3D Graph Networks	❌	✅	✅	✅	✅	❌	✅	5
Learning Human-Compatible Representations for Case-Based Decision Support	❌	✅	✅	✅	✅	❌	✅	5
Learning Hyper Label Model for Programmatic Weak Supervision	❌	✅	✅	✅	✅	❌	✅	5
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance	❌	✅	✅	❌	✅	❌	✅	4
Learning Iterative Neural Optimizers for Image Steganography	✅	✅	✅	✅	✅	❌	✅	6
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment	✅	❌	✅	❌	❌	❌	✅	3
Learning Label Encodings for Deep Regression	✅	✅	✅	✅	✅	❌	✅	6
Learning Language Representations with Logical Inductive Bias	❌	❌	✅	✅	✅	❌	✅	4
Learning Locality and Isotropy in Dialogue Modeling	❌	✅	✅	✅	✅	❌	✅	5
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets	❌	❌	❌	❌	❌	❌	✅	1
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency	❌	✅	✅	✅	❌	❌	❌	3
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions	✅	✅	✅	✅	✅	❌	✅	6
Learning Multimodal Data Augmentation in Feature Space	✅	✅	✅	❌	✅	❌	✅	5
Learning Object-Language Alignments for Open-Vocabulary Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Learning Probabilistic Topological Representations Using Discrete Morse Theory	✅	❌	✅	✅	✅	❌	✅	5
Learning Proximal Operators to Discover Multiple Optima	❌	✅	✅	✅	✅	❌	✅	5
Learning Rationalizable Equilibria in Multiplayer Games	✅	❌	❌	❌	❌	❌	❌	1
Learning ReLU networks to high uniform accuracy is intractable	❌	✅	❌	❌	✅	❌	✅	3
Learning Simultaneous Navigation and Construction in Grid Worlds	✅	✅	❌	✅	✅	❌	✅	5
Learning Soft Constraints From Constrained Expert Demonstrations	✅	❌	✅	❌	❌	❌	✅	3
Learning Sparse Group Models Through Boolean Relaxation	❌	✅	✅	✅	✅	✅	✅	6
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization	✅	✅	✅	✅	❌	❌	✅	5
Learning Structured Representations by Embedding Class Hierarchy	❌	❌	✅	❌	❌	❌	✅	2
Learning Symbolic Models for Graph-structured Physical Mechanism	✅	❌	✅	❌	❌	❌	✅	3
Learning Uncertainty for Unknown Domains with Zero-Target-Assumption	✅	❌	✅	❌	✅	❌	✅	4
Learning Vortex Dynamics for Fluid Inference and Prediction	❌	✅	✅	❌	✅	❌	✅	4
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision	✅	✅	✅	✅	❌	❌	✅	5
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased	✅	❌	✅	❌	❌	❌	✅	3
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering	✅	✅	✅	✅	✅	✅	✅	7
Learning differentiable solvers for systems with hard constraints	❌	❌	✅	✅	✅	❌	✅	4
Learning in temporally structured environments	❌	❌	✅	❌	❌	❌	✅	2
Learning multi-scale local conditional probability models of images	✅	✅	✅	✅	❌	❌	✅	5
Learning on Large-scale Text-attributed Graphs via Variational Inference	❌	✅	✅	✅	✅	❌	✅	5
Learning rigid dynamics with face interaction graph networks	❌	❌	✅	✅	✅	❌	✅	4
Learning the Positions in CountSketch	✅	❌	✅	❌	✅	❌	✅	4
Learning to CROSS exchange to solve min-max vehicle routing problems	✅	❌	❌	❌	✅	✅	✅	4
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning	✅	✅	✅	✅	✅	❌	✅	6
Learning to Decompose Visual Features with Latent Textual Prompts	❌	❌	✅	❌	❌	❌	✅	2
Learning to Estimate Shapley Values with Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision	❌	✅	✅	❌	✅	✅	✅	5
Learning to Extrapolate: A Transductive Approach	✅	❌	✅	❌	❌	❌	✅	3
Learning to Generate Columns with Application to Vertex Coloring	✅	✅	✅	✅	✅	❌	✅	6
Learning to Grow Pretrained Models for Efficient Transformer Training	✅	❌	✅	✅	❌	❌	✅	4
Learning to Induce Causal Structure	❌	❌	✅	❌	❌	❌	✅	2
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models	✅	❌	✅	❌	❌	❌	✅	3
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference	✅	✅	✅	❌	✅	❌	✅	5
Learning to Segment from Noisy Annotations: A Spatial Correction Approach	✅	✅	✅	✅	✅	❌	✅	6
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer	❌	✅	✅	✅	✅	❌	✅	5
Learning to reason over visual objects	❌	✅	✅	✅	✅	❌	✅	5
Learning topology-preserving data representations	❌	✅	✅	❌	✅	❌	✅	4
Learning where and when to reason in neuro-symbolic inference	❌	✅	✅	✅	❌	✅	✅	5
Learning with Auxiliary Activation for Memory-Efficient Training	❌	✅	✅	✅	✅	❌	✅	5
Learning with Logical Constraints but without Shortcut Satisfaction	✅	✅	✅	❌	✅	❌	✅	5
Learning with Stochastic Orders	✅	✅	✅	✅	✅	❌	✅	6
Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting	✅	❌	✅	✅	❌	❌	✅	4
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models	❌	❌	✅	❌	❌	✅	✅	3
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction	❌	❌	✅	✅	❌	❌	❌	2
Leveraging Importance Weights in Subset Selection	✅	❌	✅	✅	✅	❌	✅	5
Leveraging Large Language Models for Multiple Choice Question Answering	❌	✅	✅	✅	❌	❌	✅	4
Leveraging Unlabeled Data to Track Memorization	✅	✅	✅	✅	✅	❌	✅	6
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval	❌	✅	✅	✅	✅	❌	✅	5
LiftedCL: Lifting Contrastive Learning for Human-Centric Perception	❌	❌	✅	✅	❌	❌	✅	3
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering	❌	❌	❌	❌	✅	❌	✅	2
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation	❌	✅	✅	✅	❌	❌	✅	4
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification	❌	✅	✅	❌	✅	❌	✅	4
Limitless Stability for Graph Convolutional Networks	❌	❌	✅	❌	❌	❌	✅	2
Linear Connectivity Reveals Generalization Strategies	❌	✅	✅	✅	✅	❌	✅	5
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies	✅	❌	❌	❌	❌	❌	❌	1
Linearly Mapping from Image to Text Space	❌	✅	✅	✅	✅	❌	✅	5
Link Prediction with Non-Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers	❌	❌	✅	✅	✅	❌	✅	4
Liquid Structural State-Space Models	✅	✅	✅	✅	❌	❌	✅	5
Localized Randomized Smoothing for Collective Robustness Certification	❌	✅	✅	✅	✅	✅	✅	6
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming	✅	✅	✅	✅	✅	❌	✅	6
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning	❌	✅	✅	✅	❌	❌	✅	4
Logical Message Passing Networks with One-hop Inference on Atomic Formulas	❌	✅	✅	❌	✅	❌	✅	4
Long Range Language Modeling via Gated State Spaces	✅	❌	✅	❌	✅	❌	✅	4
Long-Tailed Learning Requires Feature Learning	❌	✅	❌	❌	❌	❌	✅	2
Long-Tailed Partial Label Learning via Dynamic Rebalancing	✅	✅	✅	✅	❌	❌	✅	5
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent	❌	✅	✅	❌	❌	❌	✅	3
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation	❌	❌	✅	❌	❌	❌	✅	2
Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes	❌	❌	❌	❌	❌	❌	❌	0
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation	✅	✅	✅	❌	❌	❌	✅	4
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions	❌	✅	✅	✅	✅	❌	✅	5
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection	✅	✅	✅	✅	✅	❌	✅	6
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
MARS: Meta-learning as Score Matching in the Function Space	✅	✅	✅	✅	❌	❌	✅	5
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors	❌	❌	✅	❌	❌	❌	✅	2
MCAL: Minimum Cost Human-Machine Active Labeling	✅	✅	✅	❌	✅	❌	✅	5
MECTA: Memory-Economic Continual Test-Time Model Adaptation	✅	✅	✅	❌	✅	✅	✅	6
MEDFAIR: Benchmarking Fairness for Medical Imaging	❌	✅	✅	✅	✅	✅	✅	6
MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY	❌	✅	✅	✅	❌	❌	✅	4
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
MIMT: Masked Image Modeling Transformer for Video Compression	✅	❌	✅	❌	✅	❌	✅	4
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization	✅	✅	✅	✅	✅	✅	✅	7
MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises	❌	✅	✅	❌	❌	✅	✅	4
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models	❌	✅	✅	✅	✅	❌	✅	5
MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC	❌	✅	✅	❌	✅	❌	✅	4
Machine Unlearning of Federated Clusters	✅	✅	✅	❌	❌	❌	✅	4
Make-A-Video: Text-to-Video Generation without Text-Video Data	❌	❌	✅	❌	❌	❌	✅	2
Making Better Decision by Directly Planning in Continuous Control	✅	✅	✅	❌	❌	❌	✅	4
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples	❌	✅	✅	✅	✅	❌	✅	5
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds	✅	❌	✅	❌	❌	❌	✅	3
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills	✅	✅	✅	❌	✅	❌	✅	5
ManyDG: Many-domain Generalization for Healthcare Applications	❌	✅	✅	✅	✅	✅	✅	6
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction	❌	✅	✅	❌	✅	❌	✅	4
Markup-to-Image Diffusion Models with Scheduled Sampling	✅	✅	✅	✅	✅	❌	✅	6
Martingale Posterior Neural Processes	❌	✅	✅	✅	✅	✅	✅	6
MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion	❌	❌	✅	✅	✅	❌	✅	4
MaskViT: Masked Visual Pre-Training for Video Prediction	❌	❌	✅	❌	✅	✅	✅	4
Masked Distillation with Receptive Tokens	❌	✅	✅	✅	❌	❌	✅	4
Masked Frequency Modeling for Self-Supervised Visual Pre-Training	✅	✅	✅	✅	✅	❌	✅	6
Masked Image Modeling with Denoising Contrast	✅	❌	✅	✅	✅	❌	✅	5
Masked Unsupervised Self-training for Label-free Image Classification	❌	✅	✅	❌	✅	❌	✅	4
Masked Vision and Language Modeling for Multi-modal Representation Learning	❌	❌	✅	✅	✅	❌	✅	4
Mass-Editing Memory in a Transformer	✅	✅	✅	❌	✅	✅	✅	6
Massively Scaling Heteroscedastic Classifiers	❌	✅	✅	✅	✅	❌	✅	5
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning	✅	✅	✅	✅	❌	❌	✅	5
Matching receptor to odorant with protein language and graph neural networks	❌	✅	✅	✅	✅	❌	✅	5
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence	❌	❌	❌	❌	❌	❌	❌	0
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam	✅	✅	✅	✅	✅	❌	✅	6
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition	✅	✅	✅	✅	✅	❌	✅	6
Measure the Predictive Heterogeneity	✅	❌	✅	❌	❌	❌	❌	2
Measuring Forgetting of Memorized Training Examples	✅	❌	✅	❌	❌	❌	✅	3
Measuring axiomatic soundness of counterfactual image models	✅	❌	✅	✅	❌	❌	✅	4
Mega: Moving Average Equipped Gated Attention	❌	❌	✅	✅	❌	❌	✅	3
Memorization Capacity of Neural Networks with Conditional Computation	✅	❌	❌	❌	❌	❌	❌	1
Memorization-Dilation: Modeling Neural Collapse Under Noise	❌	❌	✅	❌	❌	❌	✅	2
Memory Gym: Partially Observable Challenges to Memory-Based Agents	❌	✅	✅	✅	✅	✅	✅	6
MeshDiffusion: Score-based Generative 3D Mesh Modeling	✅	✅	✅	✅	✅	❌	✅	6
Meta Knowledge Condensation for Federated Learning	✅	❌	✅	✅	❌	❌	✅	4
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning	❌	✅	✅	✅	✅	❌	✅	5
Meta Temporal Point Processes	❌	✅	✅	❌	❌	❌	✅	3
Meta-Learning in Games	✅	❌	✅	❌	❌	❌	✅	3
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction	✅	✅	✅	✅	✅	❌	✅	6
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets	❌	✅	✅	✅	✅	❌	✅	5
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning	✅	✅	✅	✅	❌	❌	✅	5
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics	❌	❌	✅	✅	❌	❌	✅	3
Mid-Vision Feedback	❌	✅	✅	❌	❌	❌	✅	3
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning	✅	✅	✅	✅	✅	✅	✅	7
Mind the Gap: Offline Policy Optimization for Imperfect Rewards	✅	✅	✅	❌	✅	❌	✅	5
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size	✅	❌	✅	✅	❌	❌	✅	4
Mind's Eye: Grounded Language Model Reasoning through Simulation	❌	❌	❌	❌	✅	❌	✅	2
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations	✅	❌	❌	❌	❌	❌	❌	1
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform	✅	❌	✅	❌	❌	❌	✅	3
Minimax Optimal Kernel Operator Learning via Multilevel Training	❌	❌	❌	❌	❌	❌	❌	0
Minimum Description Length Control	✅	❌	✅	❌	❌	❌	✅	3
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients	❌	✅	✅	✅	❌	❌	✅	4
Mitigating Dataset Bias by Using Per-Sample Gradient	✅	❌	✅	✅	✅	❌	✅	5
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach	✅	❌	✅	✅	❌	❌	✅	4
Mitigating Memorization of Noisy Labels via Regularization between Representations	❌	✅	✅	❌	❌	❌	✅	3
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer	✅	❌	✅	✅	✅	❌	✅	5
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations	✅	✅	✅	❌	❌	❌	✅	4
MocoSFL: enabling cross-client collaborative self-supervised learning	❌	✅	✅	✅	✅	❌	✅	5
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning	✅	❌	✅	✅	❌	❌	✅	4
Model-based Causal Bayesian Optimization	✅	✅	✅	✅	❌	❌	✅	5
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts	✅	✅	✅	✅	✅	❌	✅	6
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval	❌	❌	✅	✅	✅	❌	✅	4
Modeling content creator incentives on algorithm-curated platforms	❌	✅	✅	✅	✅	✅	✅	6
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization	✅	✅	✅	✅	✅	✅	✅	7
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN	❌	✅	✅	✅	✅	❌	✅	5
Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning	✅	✅	✅	❌	✅	❌	✅	5
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules	❌	✅	✅	✅	❌	❌	✅	4
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching	✅	✅	✅	✅	✅	❌	✅	6
Molecule Generation For Target Protein Binding with Structural Motifs	❌	✅	✅	✅	✅	✅	✅	6
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
Monocular Scene Reconstruction with 3D SDF Transformers	❌	✅	✅	❌	✅	❌	✅	4
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization	❌	✅	✅	❌	✅	❌	✅	4
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity	✅	✅	✅	✅	✅	✅	✅	7
Mosaic Representation Learning for Self-supervised Visual Pre-training	✅	✅	✅	✅	✅	❌	✅	6
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics	❌	❌	✅	✅	✅	✅	✅	5
Multi-Objective Online Learning	✅	❌	✅	❌	✅	❌	✅	4
Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality	✅	✅	✅	❌	❌	✅	✅	5
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve	✅	✅	✅	✅	❌	❌	✅	5
Multi-domain image generation and translation with identifiability guarantees	❌	✅	✅	❌	❌	❌	✅	3
Multi-level Protein Structure Pre-training via Prompt Learning	✅	❌	✅	✅	✅	❌	✅	5
Multi-lingual Evaluation of Code Generation Models	❌	✅	✅	✅	❌	❌	✅	4
Multi-objective optimization via equivariant deep hypervolume approximation	❌	✅	✅	✅	✅	❌	✅	5
Multi-skill Mobile Manipulation for Object Rearrangement	❌	✅	✅	✅	❌	❌	✅	4
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization	❌	✅	✅	✅	✅	✅	✅	6
MultiViz: Towards Visualizing and Understanding Multimodal Models	✅	✅	✅	✅	❌	❌	✅	5
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders	❌	✅	✅	✅	❌	✅	✅	5
Multimodal Analogical Reasoning over Knowledge Graphs	❌	✅	✅	✅	✅	❌	✅	5
Multimodal Federated Learning via Contrastive Representation Ensemble	✅	❌	✅	❌	❌	❌	✅	3
Multiple sequence alignment as a sequence-to-sequence learning problem	❌	❌	❌	✅	✅	❌	✅	3
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning	❌	❌	✅	✅	❌	❌	✅	3
Multivariate Time-series Imputation with Disentangled Temporal Representations	❌	✅	✅	✅	✅	✅	✅	6
Mutual Partial Label Learning with Competitive Label Noise	✅	❌	✅	✅	❌	❌	✅	4
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs	✅	✅	✅	✅	✅	❌	✅	6
NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis	❌	❌	✅	✅	✅	❌	✅	4
NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs	❌	❌	✅	❌	✅	❌	✅	3
NORM: Knowledge Distillation via N-to-One Representation Matching	❌	✅	✅	✅	✅	❌	✅	5
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning	❌	✅	✅	❌	✅	❌	✅	4
NTK-SAP: Improving neural network pruning by aligning training dynamics	✅	✅	✅	❌	✅	❌	✅	5
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes	❌	✅	✅	❌	✅	❌	✅	4
NeRN: Learning Neural Representations for Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Near-Optimal Adversarial Reinforcement Learning with Switching Costs	✅	❌	❌	❌	❌	❌	❌	1
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation	✅	❌	❌	❌	❌	❌	❌	1
Near-optimal Coresets for Robust Clustering	✅	❌	✅	❌	✅	✅	✅	5
Near-optimal Policy Identification in Active Reinforcement Learning	✅	✅	❌	❌	❌	❌	✅	3
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game	✅	❌	❌	❌	❌	❌	✅	2
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication	❌	✅	❌	✅	✅	❌	✅	4
Neural Architecture Design and Robustness: A Dataset	✅	✅	✅	❌	✅	❌	✅	5
Neural Bregman Divergences for Distance Learning	✅	❌	✅	✅	✅	❌	✅	5
Neural Causal Models for Counterfactual Identification and Estimation	✅	✅	❌	❌	❌	❌	❌	2
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning	❌	✅	✅	❌	❌	❌	✅	3
Neural Compositional Rule Learning for Knowledge Graph Reasoning	✅	✅	✅	❌	❌	❌	✅	4
Neural DAG Scheduling via One-Shot Priority Sampling	✅	❌	✅	✅	✅	❌	✅	5
Neural Design for Genetic Perturbation Experiments	✅	✅	✅	❌	❌	❌	✅	4
Neural Episodic Control with State Abstraction	✅	✅	✅	❌	✅	❌	✅	5
Neural Groundplans: Persistent Neural Scene Representations from a Single Image	❌	❌	✅	✅	✅	❌	✅	4
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling	❌	❌	✅	✅	❌	❌	❌	2
Neural Implicit Shape Editing using Boundary Sensitivity	❌	❌	✅	❌	❌	❌	✅	2
Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics	✅	✅	✅	✅	✅	❌	✅	6
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD	✅	❌	❌	❌	❌	❌	❌	1
Neural Networks and the Chomsky Hierarchy	✅	✅	✅	❌	✅	❌	✅	5
Neural Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
Neural Radiance Field Codebooks	❌	❌	✅	✅	✅	❌	✅	4
Neural Systematic Binder	✅	✅	✅	❌	❌	❌	✅	4
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks	❌	❌	✅	✅	❌	❌	❌	2
Neural-based classification rule learning for sequential data	❌	✅	✅	✅	✅	❌	✅	5
Neuro-Symbolic Procedural Planning with Commonsense Prompting	✅	✅	✅	❌	✅	❌	✅	5
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery	✅	✅	✅	❌	✅	❌	✅	5
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity	❌	❌	✅	❌	✅	❌	✅	3
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning	❌	✅	✅	❌	✅	❌	✅	4
No Reason for No Supervision: Improved Generalization in Supervised Models	❌	✅	✅	✅	✅	❌	✅	5
Noise Injection Node Regularization for Robust Learning	❌	✅	✅	✅	❌	❌	✅	4
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be	✅	✅	✅	✅	❌	❌	✅	5
Noise-Robust De-Duplication at Scale	❌	✅	✅	✅	✅	❌	✅	5
Non-parametric Outlier Synthesis	✅	✅	✅	❌	✅	✅	✅	6
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities	❌	❌	❌	✅	❌	❌	✅	2
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization	❌	✅	✅	❌	❌	❌	✅	3
Novel View Synthesis with Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection	✅	❌	✅	✅	✅	❌	✅	5
OPTQ: Accurate Quantization for Generative Pre-trained Transformers	✅	✅	✅	✅	✅	❌	✅	6
OTOv2: Automatic, Generic, User-Friendly	✅	✅	✅	❌	✅	❌	✅	5
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement	✅	❌	❌	❌	❌	❌	✅	2
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes	❌	❌	✅	❌	✅	❌	✅	3
Offline RL for Natural Language Generation with Implicit Language Q Learning	❌	✅	✅	❌	✅	❌	✅	4
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization	✅	✅	✅	❌	❌	❌	✅	4
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling	✅	✅	✅	❌	✅	❌	✅	5
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient	✅	❌	❌	❌	❌	❌	❌	1
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework	❌	✅	✅	❌	✅	❌	❌	3
Omnigrok: Grokking Beyond Algorithmic Data	❌	✅	✅	❌	❌	❌	✅	3
On Accelerated Perceptrons and Beyond	✅	❌	❌	❌	❌	❌	❌	1
On Achieving Optimal Adversarial Test Error	❌	❌	❌	❌	❌	❌	✅	1
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing	✅	✅	✅	✅	❌	❌	❌	4
On Explaining Neural Network Robustness with Activation Path	✅	✅	✅	❌	❌	❌	✅	4
On Pre-training Language Model for Antibody	❌	✅	✅	✅	❌	❌	✅	4
On Representing Linear Programs by Graph Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
On Representing Mixed-Integer Linear Programs by Graph Neural Networks	✅	✅	❌	❌	✅	❌	✅	4
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations	❌	✅	✅	✅	✅	✅	✅	6
On The Relative Error of Random Fourier Features for Preserving Kernel Distance	❌	❌	❌	❌	❌	❌	✅	1
On The Specialization of Neural Modules	❌	✅	✅	❌	❌	❌	✅	3
On amortizing convex conjugates for optimal transport	✅	✅	✅	❌	✅	❌	✅	5
On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration	✅	❌	❌	❌	❌	❌	✅	2
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning	✅	✅	✅	❌	❌	❌	❌	3
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.	✅	✅	✅	❌	✅	❌	✅	5
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
On the Importance and Applicability of Pre-Training for Federated Learning	❌	✅	✅	✅	✅	❌	✅	5
On the Performance of Temporal Difference Learning With Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
On the Perils of Cascading Robust Classifiers	✅	✅	✅	❌	✅	❌	✅	5
On the Robustness of Safe Reinforcement Learning under Observational Perturbations	✅	✅	✅	❌	✅	❌	✅	5
On the Saturation Effect of Kernel Ridge Regression	❌	❌	❌	❌	❌	❌	✅	1
On the Sensitivity of Reward Inference to Misspecified Human Models	❌	❌	✅	❌	❌	❌	✅	2
On the Soft-Subnetwork for Few-Shot Class Incremental Learning	✅	✅	✅	❌	✅	✅	✅	6
On the Trade-Off between Actionable Explanations and the Right to be Forgotten	✅	❌	✅	❌	❌	❌	✅	3
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation	❌	✅	✅	✅	❌	❌	✅	4
On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme	✅	✅	❌	❌	❌	❌	✅	3
On the complexity of nonsmooth automatic differentiation	✅	❌	❌	❌	❌	❌	❌	1
On the duality between contrastive and non-contrastive self-supervised learning	✅	✅	✅	✅	✅	❌	✅	6
One Transformer Can Understand Both 2D & 3D Molecular Data	❌	✅	✅	✅	✅	❌	✅	5
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Online Bias Correction for Task-Free Continual Learning	✅	✅	✅	✅	❌	❌	✅	5
Online Boundary-Free Continual Learning by Scheduled Data Prior	✅	✅	✅	❌	✅	❌	✅	5
Online Low Rank Matrix Completion	✅	❌	❌	❌	❌	❌	❌	1
Open-Vocabulary Object Detection upon Frozen Vision and Language Models	❌	❌	✅	✅	❌	❌	✅	3
Optimal Activation Functions for the Random Features Regression Model	❌	✅	✅	❌	✅	✅	✅	5
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian	✅	❌	❌	❌	❌	❌	❌	1
Optimal Transport for Offline Imitation Learning	✅	✅	✅	❌	✅	❌	✅	5
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics	✅	❌	❌	❌	❌	❌	❌	1
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning	✅	✅	✅	✅	❌	❌	✅	5
Optimizing Spca-based Continual Learning: A Theoretical Approach	✅	✅	✅	❌	❌	❌	✅	4
Order Matters: Agent-by-agent Policy Optimization	✅	✅	✅	❌	❌	❌	✅	4
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing	✅	✅	✅	✅	✅	❌	✅	6
Out-of-Distribution Detection and Selective Generation for Conditional Language Models	✅	❌	✅	❌	❌	❌	✅	3
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy	❌	✅	✅	✅	✅	✅	✅	6
Out-of-distribution Detection with Implicit Outlier Transformation	✅	✅	✅	✅	❌	❌	✅	5
Out-of-distribution Representation Learning for Time Series Classification	❌	✅	✅	✅	❌	❌	✅	4
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation	✅	✅	✅	❌	❌	❌	✅	4
Over-Training with Mixup May Hurt Generalization	❌	❌	✅	✅	❌	❌	✅	3
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition	✅	❌	✅	❌	✅	❌	✅	4
PAC Reinforcement Learning for Predictive State Representations	✅	❌	❌	❌	❌	❌	❌	1
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification	❌	❌	❌	❌	✅	❌	✅	2
PASHA: Efficient HPO and NAS with Progressive Resource Allocation	✅	✅	✅	✅	❌	❌	✅	5
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm	✅	✅	✅	❌	✅	❌	✅	5
PEER: A Collaborative Language Model	❌	❌	✅	✅	❌	❌	✅	3
PGrad: Learning Principal Gradients For Domain Generalization	❌	❌	✅	✅	❌	❌	✅	3
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales	❌	✅	✅	✅	❌	❌	✅	4
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models	✅	✅	✅	✅	✅	✅	✅	7
POPGym: Benchmarking Partially Observable Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
PV3D: A 3D Generative Model for Portrait Video Generation	❌	✅	✅	❌	✅	❌	✅	4
PaLI: A Jointly-Scaled Multilingual Language-Image Model	❌	❌	✅	✅	✅	❌	✅	4
Packed Ensembles for efficient uncertainty estimation	❌	✅	✅	✅	✅	✅	✅	6
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs	✅	✅	✅	❌	✅	❌	✅	5
Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation	❌	❌	✅	❌	❌	❌	✅	2
Parallel Deep Neural Networks Have Zero Duality Gap	❌	❌	❌	❌	❌	❌	❌	0
Parameter-Efficient Fine-Tuning Design Spaces	❌	✅	✅	✅	✅	❌	✅	5
Parametrizing Product Shape Manifolds by Composite Networks	❌	✅	✅	❌	❌	❌	✅	3
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization	✅	✅	✅	✅	✅	✅	✅	7
Part-Based Models Improve Adversarial Robustness	❌	✅	✅	✅	✅	❌	✅	5
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment	✅	❌	✅	❌	❌	❌	✅	3
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms	✅	❌	❌	❌	❌	❌	❌	1
Particle-based Variational Inference with Preconditioned Functional Gradient Flow	✅	❌	✅	✅	✅	✅	✅	6
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning	✅	✅	✅	❌	✅	❌	✅	5
PatchDCT: Patch Refinement for High Quality Instance Segmentation	❌	✅	✅	✅	✅	❌	✅	5
PerFedMask: Personalized Federated Learning with Optimized Masking Vectors	✅	✅	✅	✅	❌	✅	✅	6
Perfectly Secure Steganography Using Minimum Entropy Coupling	✅	✅	✅	❌	✅	❌	✅	5
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs	✅	❌	❌	❌	❌	❌	❌	1
Personalized Federated Learning with Feature Alignment and Classifier Collaboration	✅	✅	✅	✅	✅	❌	✅	6
Personalized Reward Learning with Interaction-Grounded Learning (IGL)	✅	✅	✅	❌	❌	❌	✅	4
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes	✅	❌	❌	❌	❌	❌	❌	1
Phase transition for detecting a small community in a large network	❌	❌	❌	❌	❌	❌	❌	0
Phase2vec: dynamical systems embedding with a physics-informed convolutional network	❌	✅	✅	✅	✅	✅	✅	6
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions	❌	❌	✅	✅	❌	❌	✅	3
PiFold: Toward effective and efficient protein inverse folding	❌	✅	✅	✅	✅	❌	✅	5
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning	✅	✅	✅	✅	❌	✅	✅	6
Pitfalls of Gaussians as a noise distribution in NCE	❌	❌	❌	❌	❌	❌	❌	0
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training	❌	✅	✅	❌	❌	✅	✅	4
Planning Goals for Exploration	✅	❌	✅	❌	✅	❌	✅	4
Planning with Large Language Models for Code Generation	✅	❌	✅	✅	✅	❌	✅	5
Planning with Sequence Models through Iterative Energy Minimization	✅	❌	✅	❌	❌	❌	✅	3
Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks	❌	✅	✅	❌	✅	❌	✅	4
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling	❌	✅	✅	✅	❌	❌	✅	4
Policy-Based Self-Competition for Planning Problems	✅	✅	✅	✅	❌	❌	✅	5
Population-size-Aware Policy Optimization for Mean-Field Games	✅	❌	✅	❌	✅	❌	✅	4
Post-hoc Concept Bottleneck Models	❌	✅	✅	✅	✅	❌	✅	5
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions	✅	✅	❌	✅	❌	❌	✅	4
PowerQuant: Automorphism Search for Non-Uniform Quantization	✅	❌	✅	❌	✅	❌	❌	3
Pre-training via Denoising for Molecular Property Prediction	❌	✅	✅	✅	✅	❌	✅	5
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information	❌	✅	✅	✅	❌	❌	❌	3
Predictive Inference with Feature Conformal Prediction	✅	✅	✅	✅	❌	❌	✅	5
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift	✅	✅	❌	❌	❌	❌	✅	3
Preference Transformer: Modeling Human Preferences using Transformers for RL	❌	✅	✅	❌	✅	❌	✅	4
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models	✅	✅	✅	✅	✅	❌	✅	6
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses	✅	❌	✅	✅	❌	❌	✅	4
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation	✅	✅	✅	✅	✅	❌	✅	6
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse	✅	❌	✅	❌	❌	❌	✅	3
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation	❌	✅	✅	✅	❌	❌	✅	4
Progress measures for grokking via mechanistic interpretability	❌	✅	❌	❌	❌	❌	✅	2
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer	❌	✅	✅	✅	❌	❌	✅	4
Progressive Prompts: Continual Learning for Language Models	❌	❌	✅	✅	❌	❌	✅	3
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning	✅	✅	✅	✅	❌	❌	✅	5
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property	✅	❌	✅	❌	❌	❌	✅	3
Prompt-to-Prompt Image Editing with Cross-Attention Control	✅	❌	❌	❌	❌	❌	✅	2
Promptagator: Few-shot Dense Retrieval From 8 Examples	❌	❌	✅	✅	❌	❌	✅	3
Prompting GPT-3 To Be Reliable	❌	✅	✅	❌	❌	❌	✅	3
Proposal-Contrastive Pretraining for Object Detection from Fewer Data	❌	❌	✅	✅	✅	❌	✅	4
Protein Representation Learning by Geometric Structure Pretraining	❌	✅	✅	✅	✅	❌	✅	5
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning	❌	✅	✅	❌	❌	❌	✅	3
Protein Sequence and Structure Co-Design with Equivariant Translation	✅	❌	✅	✅	✅	❌	✅	5
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks	✅	✅	✅	❌	❌	❌	✅	4
Prototypical Calibration for Few-shot Learning of Language Models	❌	✅	✅	✅	✅	❌	✅	5
Provable Defense Against Geometric Transformations	✅	✅	✅	✅	✅	❌	✅	6
Provable Memorization Capacity of Transformers	❌	❌	✅	❌	✅	❌	✅	3
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization	✅	❌	✅	✅	✅	❌	✅	5
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations	✅	❌	❌	❌	❌	❌	❌	1
Provably Auditing Ordinary Least Squares in Low Dimensions	✅	❌	✅	❌	✅	❌	✅	4
Provably Efficient Lifelong Reinforcement Learning with Linear Representation	✅	❌	❌	❌	❌	❌	✅	2
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path	✅	❌	❌	❌	❌	❌	✅	2
Pruning Deep Neural Networks from a Sparsity Perspective	✅	✅	✅	❌	❌	❌	✅	4
Pseudo-label Training and Model Inertia in Neural Machine Translation	❌	❌	✅	✅	❌	✅	✅	4
Pseudoinverse-Guided Diffusion Models for Inverse Problems	✅	❌	✅	✅	❌	❌	✅	4
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play	✅	❌	✅	✅	❌	❌	✅	4
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore	✅	❌	✅	✅	❌	❌	✅	4
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots	✅	✅	✅	❌	❌	❌	✅	4
QAID: Question Answering Inspired Few-shot Intent Detection	❌	❌	✅	✅	✅	❌	✅	4
QuAnt: Quantum Annealing with Learnt Couplings	❌	✅	✅	✅	✅	✅	✅	6
Quality-Similar Diversity via Population Based Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Quantifying Memorization Across Neural Language Models	❌	❌	✅	❌	❌	❌	❌	1
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics	❌	✅	✅	❌	❌	❌	❌	2
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions	❌	✅	✅	✅	❌	❌	❌	3
Quantized Compressed Sensing with Score-Based Generative Models	✅	✅	✅	✅	❌	❌	✅	5
Quasi-optimal Reinforcement Learning with Continuous Actions	✅	✅	✅	❌	✅	❌	✅	5
REPAIR: REnormalizing Permuted Activations for Interpolation Repair	✅	✅	✅	✅	❌	❌	✅	5
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH	❌	✅	✅	❌	❌	❌	✅	3
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection	❌	❌	✅	✅	❌	❌	✅	3
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch	✅	✅	✅	❌	✅	❌	✅	5
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs	✅	✅	✅	❌	✅	✅	✅	6
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning	❌	✅	✅	✅	✅	❌	✅	5
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates	✅	❌	❌	❌	❌	❌	❌	1
Random Laplacian Features for Learning with Hyperbolic Space	✅	❌	✅	✅	✅	❌	✅	5
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images	❌	✅	✅	❌	❌	❌	✅	3
Re-Imagen: Retrieval-Augmented Text-to-Image Generator	❌	❌	✅	✅	✅	❌	✅	4
Re-calibrating Feature Attributions for Model Interpretation	✅	✅	✅	✅	✅	✅	✅	7
Re-parameterizing Your Optimizers rather than Architectures	❌	✅	✅	✅	✅	❌	✅	5
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization	✅	❌	✅	❌	✅	❌	✅	4
ReAct: Synergizing Reasoning and Acting in Language Models	❌	✅	✅	❌	❌	❌	✅	3
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices	❌	✅	✅	✅	✅	❌	✅	5
Real-time variational method for learning neural trajectory and its dynamics	✅	❌	✅	❌	✅	❌	✅	4
Recitation-Augmented Language Models	✅	✅	✅	✅	✅	❌	✅	6
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning	✅	✅	✅	❌	❌	❌	✅	4
Recursive Time Series Data Augmentation	✅	✅	✅	❌	✅	❌	✅	5
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors	✅	✅	✅	❌	✅	❌	✅	5
Regression with Label Differential Privacy	✅	❌	✅	❌	❌	❌	✅	3
Relational Attention: Generalizing Transformers for Graph-Structured Tasks	❌	✅	✅	✅	✅	❌	✅	5
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences	❌	✅	✅	❌	❌	❌	✅	3
Relative representations enable zero-shot latent space communication	❌	✅	✅	✅	❌	❌	✅	4
Reliability of CKA as a Similarity Measure in Deep Learning	✅	❌	✅	❌	❌	❌	✅	3
Reparameterization through Spatial Gradient Scaling	✅	✅	✅	✅	✅	❌	✅	6
Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay	✅	❌	✅	❌	✅	❌	✅	4
Replicable Bandits	✅	❌	❌	❌	❌	❌	✅	2
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency	✅	❌	❌	❌	❌	❌	❌	1
Representation Learning for Low-rank General-sum Markov Games	✅	✅	❌	❌	❌	❌	✅	3
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor	✅	✅	✅	✅	❌	❌	✅	5
Restricted Strong Convexity of Deep Learning Models with Smooth Activations	❌	❌	✅	❌	❌	❌	✅	2
Rethinking Graph Lottery Tickets: Graph Sparsity Matters	✅	❌	✅	✅	❌	❌	✅	4
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation	❌	❌	✅	✅	✅	❌	✅	4
Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Rethinking skip connection model as a learnable Markov chain	✅	❌	✅	✅	✅	❌	✅	5
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning	✅	✅	✅	❌	✅	❌	✅	5
Rethinking the Expressive Power of GNNs via Graph Biconnectivity	✅	✅	✅	✅	✅	❌	✅	6
Retrieval-based Controllable Molecule Generation	✅	✅	✅	✅	✅	❌	✅	6
Reversible Column Networks	❌	✅	✅	✅	✅	❌	✅	5
Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings	❌	✅	✅	✅	❌	❌	✅	4
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective	✅	✅	✅	✅	❌	❌	✅	5
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments	❌	✅	✅	❌	✅	❌	✅	4
Revisiting Populations in multi-agent Communication	❌	✅	✅	✅	❌	❌	✅	4
Revisiting Robustness in Graph Machine Learning	❌	✅	✅	✅	❌	❌	✅	4
Revisiting adapters with adversarial training	❌	❌	✅	✅	❌	✅	✅	4
Revisiting the Assumption of Latent Separability for Backdoor Defenses	❌	✅	✅	❌	✅	❌	✅	4
Revisiting the Entropy Semiring for Neural Speech Recognition	❌	✅	✅	✅	❌	❌	✅	4
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching	✅	✅	✅	❌	✅	❌	✅	5
Reward Design with Language Models	❌	✅	✅	❌	❌	❌	✅	3
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise	❌	✅	✅	✅	❌	❌	✅	4
Riemannian Metric Learning via Optimal Transport	❌	❌	✅	❌	✅	✅	✅	4
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation	✅	✅	❌	❌	❌	❌	✅	3
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data	❌	✅	✅	✅	✅	❌	✅	5
Robust Active Distillation	✅	❌	✅	✅	✅	❌	✅	5
Robust Algorithms on Adaptive Inputs from Bounded Adversaries	✅	❌	❌	❌	✅	✅	✅	4
Robust Explanation Constraints for Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework	❌	✅	✅	❌	❌	❌	✅	3
Robust Graph Dictionary Learning	✅	✅	✅	✅	❌	❌	✅	5
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms	✅	✅	✅	❌	❌	❌	✅	4
Robust Scheduling with GFlowNets	❌	❌	✅	❌	❌	❌	✅	2
Robust and Controllable Object-Centric Learning through Energy-based Models	✅	✅	✅	❌	✅	❌	✅	5
Robustness to corruption in pre-trained Bayesian neural networks	✅	✅	✅	✅	✅	❌	✅	6
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction	❌	✅	✅	✅	✅	✅	✅	6
S-NeRF: Neural Radiance Fields for Street Views	❌	✅	✅	✅	✅	❌	✅	5
SAM as an Optimal Relaxation of Bayes	✅	❌	✅	❌	❌	❌	✅	3
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency	❌	✅	✅	❌	✅	❌	✅	4
SCoMoE: Efficient Mixtures of Experts with Structured Communication	❌	✅	✅	✅	✅	❌	✅	5
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization	✅	❌	❌	❌	❌	❌	✅	2
SIMPLE: A Gradient Estimator for k-Subset Sampling	✅	✅	✅	✅	❌	❌	✅	5
SIMPLE: Specialized Model-Sample Matching for Domain Generalization	❌	✅	✅	✅	✅	❌	✅	5
SLTUNET: A Simple Unified Model for Sign Language Translation	❌	✅	✅	✅	❌	❌	✅	4
SMART: Self-supervised Multi-task pretrAining with contRol Transformers	❌	✅	✅	✅	❌	❌	✅	4
SMART: Sentences as Basic Units for Text Evaluation	✅	✅	✅	❌	❌	❌	✅	4
SP2 : A Second Order Stochastic Polyak Method	❌	❌	✅	❌	❌	❌	✅	2
SQA3D: Situated Question Answering in 3D Scenes	❌	✅	✅	✅	❌	❌	✅	4
STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK	✅	✅	✅	✅	✅	✅	✅	7
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables	✅	✅	✅	✅	❌	❌	✅	5
STaSy: Score-based Tabular data Synthesis	✅	✅	✅	✅	✅	✅	✅	7
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication	✅	✅	✅	❌	✅	❌	✅	5
SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS	✅	✅	❌	❌	❌	❌	✅	3
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL	✅	❌	❌	❌	❌	❌	❌	1
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation	✅	✅	✅	❌	❌	❌	✅	4
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks	✅	❌	✅	❌	❌	❌	✅	3
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier	❌	❌	✅	❌	✅	❌	✅	3
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions	❌	❌	❌	❌	❌	❌	❌	0
Sampling with Mollified Interaction Energy Descent	✅	✅	✅	✅	❌	❌	✅	5
Sampling-based inference for large linear models, with application to linearised Laplace	✅	✅	✅	✅	✅	❌	✅	6
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks	✅	✅	✅	❌	✅	❌	✅	5
Scaffolding a Student to Instill Knowledge	✅	✅	✅	✅	❌	❌	✅	5
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing	✅	✅	✅	✅	❌	❌	✅	5
Scalable Subset Sampling with Neural Conditional Poisson Networks	✅	❌	✅	✅	❌	❌	✅	4
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions	✅	❌	✅	✅	✅	❌	✅	5
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel	✅	✅	✅	✅	✅	❌	✅	6
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting	✅	✅	✅	❌	✅	❌	✅	5
Scaling Forward Gradient With Local Losses	✅	✅	✅	❌	❌	❌	✅	4
Scaling Laws For Deep Learning Based Image Reconstruction	❌	✅	✅	✅	✅	❌	✅	5
Scaling Laws for a Multi-Agent Reinforcement Learning Model	❌	✅	❌	❌	❌	❌	✅	2
Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL	✅	✅	✅	❌	❌	❌	✅	4
Scaling Up Probabilistic Circuits by Latent Variable Distillation	✅	✅	✅	✅	✅	❌	✅	6
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation	❌	❌	❌	✅	✅	❌	✅	3
Scenario-based Question Answering with Interacting Contextual Properties	❌	✅	✅	✅	❌	❌	✅	4
Schema Inference for Interpretable Image Classification	✅	✅	✅	❌	✅	✅	✅	6
Score-based Continuous-time Discrete Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation	❌	✅	✅	✅	✅	❌	✅	5
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective	✅	❌	✅	✅	✅	❌	✅	5
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning	✅	❌	✅	❌	✅	❌	✅	4
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning	✅	❌	✅	❌	✅	❌	✅	4
Selective Annotation Makes Language Models Better Few-Shot Learners	✅	✅	✅	✅	❌	❌	✅	5
Selective Frequency Network for Image Restoration	❌	✅	✅	❌	✅	❌	✅	4
Self-Consistency Improves Chain of Thought Reasoning in Language Models	❌	❌	✅	✅	✅	❌	✅	4
Self-Distillation for Further Pre-training of Transformers	✅	❌	✅	❌	✅	❌	✅	4
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors	✅	✅	✅	✅	✅	❌	✅	6
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning	✅	✅	✅	✅	❌	❌	✅	5
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability	✅	✅	✅	❌	❌	❌	✅	4
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance	❌	✅	✅	❌	❌	✅	✅	4
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild	❌	✅	✅	❌	❌	❌	✅	3
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning	✅	✅	✅	✅	❌	❌	✅	5
Self-supervised learning with rotation-invariant kernels	❌	✅	✅	✅	✅	❌	✅	5
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)	✅	❌	✅	❌	❌	❌	✅	3
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations	✅	✅	✅	✅	✅	❌	✅	6
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation	✅	✅	✅	❌	✅	❌	✅	5
Semi-Implicit Variational Inference via Score Matching	✅	❌	✅	✅	✅	❌	✅	5
Semi-Parametric Inducing Point Networks and Neural Processes	❌	✅	✅	✅	✅	❌	✅	5
Semi-supervised Community Detection via Structural Similarity Metrics	✅	✅	✅	✅	❌	❌	✅	5
Semi-supervised learning with a principled likelihood from a generative model of data curation	❌	✅	✅	❌	✅	❌	✅	4
Sequential Attention for Feature Selection	✅	✅	✅	❌	❌	❌	✅	4
Sequential Gradient Coding For Straggler Mitigation	✅	✅	✅	❌	✅	❌	✅	5
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
Sequential Learning of Neural Networks for Prequential MDL	✅	❌	✅	✅	❌	❌	✅	4
Serving Graph Compression for Graph Neural Networks	✅	❌	✅	✅	❌	❌	✅	4
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process	✅	❌	❌	❌	❌	❌	❌	1
Short-Term Memory Convolutions	❌	❌	✅	❌	✅	❌	✅	3
Sign and Basis Invariant Networks for Spectral Graph Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
SimPer: Simple Self-Supervised Learning of Periodic Targets	✅	✅	✅	✅	❌	❌	✅	5
Simple Emergent Action Representations from Multi-Task Policy Training	✅	❌	✅	✅	❌	❌	✅	4
Simple and Scalable Nearest Neighbor Machine Translation	❌	✅	✅	✅	✅	❌	✅	5
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth	❌	❌	✅	✅	❌	❌	✅	3
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification	❌	✅	✅	✅	✅	❌	✅	5
Simplicial Hopfield networks	❌	✅	✅	❌	❌	❌	✅	3
Simplified State Space Layers for Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective	✅	✅	✅	❌	❌	❌	✅	4
Single-shot General Hyper-parameter Optimization for Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
SketchKnitter: Vectorized Sketch Generation with Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models	❌	❌	✅	✅	✅	✅	✅	5
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing	❌	❌	✅	❌	✅	❌	✅	3
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language	❌	✅	✅	❌	✅	❌	✅	4
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning	❌	❌	✅	✅	✅	❌	✅	4
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments	❌	✅	❌	❌	❌	❌	✅	2
Softened Symbol Grounding for Neuro-symbolic Systems	✅	✅	✅	❌	❌	❌	✅	4
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method	✅	✅	✅	❌	✅	❌	✅	5
Solving Continuous Control via Q-learning	❌	❌	✅	❌	✅	❌	✅	3
Solving stochastic weak Minty variational inequalities without increasing batch size	✅	❌	❌	❌	❌	❌	✅	2
Sound Randomized Smoothing in Floating-Point Arithmetic	✅	✅	✅	❌	✅	❌	✅	5
Spacetime Representation Learning	✅	❌	✅	✅	✅	❌	✅	5
Sparse Distributed Memory is a Continual Learner	✅	✅	✅	✅	❌	❌	✅	5
Sparse Mixture-of-Experts are Domain Generalizable Learners	✅	❌	✅	✅	❌	❌	✅	4
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers	✅	✅	✅	❌	✅	❌	✅	5
Sparse Random Networks for Communication-Efficient Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Sparse Token Transformer with Attention Back Tracking	✅	❌	✅	✅	❌	❌	✅	4
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints	✅	✅	✅	✅	✅	❌	✅	6
Sparse tree-based Initialization for Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!	❌	✅	✅	✅	✅	❌	✅	5
Sparsity-Constrained Optimal Transport	❌	❌	✅	✅	✅	❌	✅	4
Spatial Attention Kinetic Networks with E(n)-Equivariance	✅	✅	✅	✅	✅	❌	✅	6
Spatio-temporal point processes with deep non-stationary kernels	✅	❌	✅	❌	✅	❌	✅	4
Specformer: Spectral Graph Neural Networks Meet Transformers	❌	✅	✅	✅	✅	✅	✅	6
Spectral Augmentation for Self-Supervised Learning on Graphs	✅	❌	✅	✅	✅	❌	✅	5
Spectral Decomposition Representation for Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
SpeedyZero: Mastering Atari with Limited Data and Time	❌	❌	✅	❌	✅	❌	✅	3
Spherical Sliced-Wasserstein	✅	✅	✅	❌	❌	❌	✅	4
Spikformer: When Spiking Neural Network Meets Transformer	❌	❌	✅	✅	❌	❌	✅	3
Spiking Convolutional Neural Networks for Text Classification	✅	✅	✅	❌	❌	❌	✅	4
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus	✅	❌	✅	✅	✅	❌	✅	5
Squeeze Training for Adversarial Robustness	✅	✅	✅	❌	✅	❌	✅	5
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random	✅	✅	✅	❌	✅	❌	✅	5
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions	✅	✅	✅	✅	✅	❌	✅	6
Statistical Efficiency of Score Matching: The View from Isoperimetry	❌	❌	❌	❌	❌	❌	✅	1
Statistical Guarantees for Consensus Clustering	✅	❌	❌	❌	❌	❌	✅	2
Statistical Inference for Fisher Market Equilibrium	❌	❌	❌	❌	❌	❌	✅	1
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms	❌	❌	✅	❌	❌	❌	❌	1
Stay Moral and Explore: Learn to Behave Morally in Text-based Games	✅	✅	✅	❌	❌	❌	✅	4
Stochastic Differentially Private and Fair Learning	✅	❌	✅	✅	❌	❌	✅	4
Stochastic Multi-Person 3D Motion Forecasting	❌	❌	✅	❌	✅	❌	✅	3
Stochastic No-regret Learning for General Games with Variance Reduction	✅	❌	❌	❌	❌	❌	❌	1
Strategic Classification with Graph Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Strong inductive biases provably prevent harmless interpolation	❌	✅	✅	❌	❌	❌	✅	3
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training	❌	✅	✅	✅	✅	❌	✅	5
Structure by Architecture: Structured Representations without Regularization	❌	✅	✅	✅	✅	❌	✅	5
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN	❌	❌	✅	❌	❌	❌	❌	1
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks	✅	✅	❌	✅	❌	❌	✅	4
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation	✅	❌	✅	❌	❌	❌	❌	2
Subsampling in Large Graphs Using Ricci Curvature	✅	❌	✅	❌	✅	❌	✅	4
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees	✅	✅	✅	✅	✅	❌	✅	6
Supervision Complexity and its Role in Knowledge Distillation	✅	❌	✅	❌	❌	❌	✅	3
Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation	❌	❌	✅	✅	✅	❌	✅	4
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts	❌	❌	✅	✅	❌	❌	✅	3
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields	❌	✅	✅	✅	✅	❌	✅	5
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search	✅	❌	✅	✅	✅	❌	✅	5
Symmetric Pruning in Quantum Neural Networks	✅	❌	❌	❌	❌	❌	✅	2
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow	❌	✅	✅	❌	❌	❌	✅	3
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Systematic Rectification of Language Models via Dead-end Analysis	❌	✅	✅	✅	❌	❌	✅	4
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization	✅	✅	✅	✅	✅	❌	✅	6
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations	✅	✅	✅	❌	✅	❌	✅	5
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs	❌	❌	✅	✅	❌	❌	✅	3
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation	✅	❌	✅	❌	❌	❌	✅	3
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning	✅	✅	✅	✅	✅	❌	✅	6
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing	❌	✅	✅	✅	✅	✅	✅	6
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second	✅	✅	✅	✅	✅	❌	✅	6
Tailoring Language Generation Models under Total Variation Distance	❌	✅	✅	✅	❌	❌	✅	4
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives	✅	✅	✅	✅	❌	❌	✅	5
Task Ambiguity in Humans and Language Models	❌	✅	✅	✅	❌	❌	✅	4
Task-Aware Information Routing from Common Representation Space in Lifelong Learning	✅	✅	✅	❌	❌	❌	❌	3
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts	❌	❌	✅	❌	✅	❌	✅	3
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding	❌	✅	✅	✅	❌	❌	✅	4
Teacher Guided Training: An Efficient Framework for Knowledge Transfer	❌	❌	✅	❌	❌	❌	✅	2
TempCLR: Temporal Alignment Representation with Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
Temperature Schedules for self-supervised contrastive methods on long-tail data	✅	✅	✅	✅	❌	❌	✅	5
Temporal Coherent Test Time Optimization for Robust Video Classification	❌	❌	✅	❌	❌	❌	✅	2
Temporal Dependencies in Feature Importance for Time Series Prediction	✅	✅	✅	✅	✅	❌	✅	6
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning	✅	✅	✅	✅	❌	❌	✅	5
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.	✅	❌	✅	❌	✅	❌	✅	4
Test-Time Adaptation via Self-Training with Nearest Neighbor Information	✅	✅	✅	✅	✅	❌	✅	6
Test-Time Robust Personalization for Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
Text Summarization with Oracle Expectation	✅	✅	✅	✅	✅	❌	✅	6
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization	❌	✅	✅	✅	✅	❌	✅	5
TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification	❌	❌	✅	✅	✅	❌	✅	4
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations	✅	✅	✅	❌	❌	❌	✅	4
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation	❌	❌	✅	✅	❌	❌	✅	3
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks	❌	✅	❌	❌	❌	✅	✅	3
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image	❌	✅	✅	✅	✅	❌	✅	5
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation	✅	❌	✅	❌	✅	❌	✅	4
The Curious Case of Benign Memorization	❌	✅	✅	❌	❌	❌	✅	3
The Dark Side of AutoML: Towards Architectural Backdoor Search	✅	✅	✅	❌	❌	❌	✅	4
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition	✅	✅	✅	✅	❌	❌	✅	5
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks	❌	❌	✅	✅	❌	❌	✅	3
The In-Sample Softmax for Offline Reinforcement Learning	❌	✅	✅	❌	❌	✅	✅	4
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks	✅	❌	❌	❌	❌	❌	✅	2
The KFIoU Loss for Rotated Object Detection	❌	✅	✅	✅	✅	❌	✅	5
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers	❌	❌	✅	❌	✅	❌	✅	3
The Lie Derivative for Measuring Learned Equivariance	✅	✅	✅	✅	❌	❌	✅	5
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation	✅	✅	✅	✅	❌	❌	✅	5
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes	❌	❌	✅	✅	❌	❌	✅	3
The Power of Regularization in Solving Extensive-Form Games	✅	❌	✅	❌	❌	❌	❌	2
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
The Role of Coverage in Online Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
The Role of ImageNet Classes in Fréchet Inception Distance	✅	✅	✅	✅	✅	❌	✅	6
The Surprising Computational Power of Nondeterministic Stack RNNs	❌	✅	✅	✅	❌	❌	✅	4
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry	❌	✅	✅	✅	❌	✅	✅	5
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium	✅	✅	✅	❌	✅	❌	✅	5
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection	❌	✅	✅	❌	✅	❌	✅	4
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning	❌	✅	✅	✅	❌	❌	✅	4
The hidden uniform cluster prior in self-supervised learning	❌	✅	✅	✅	❌	❌	✅	4
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning	❌	❌	✅	✅	❌	❌	✅	3
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers	❌	❌	✅	❌	✅	❌	✅	3
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization	✅	❌	✅	❌	❌	❌	✅	3
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors	❌	✅	✅	❌	❌	❌	❌	2
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection	❌	✅	✅	✅	✅	❌	✅	5
Time to augment self-supervised visual representation learning	❌	✅	✅	✅	✅	❌	✅	5
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis	❌	✅	✅	✅	✅	✅	✅	6
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints	✅	❌	✅	❌	❌	❌	✅	3
Toeplitz Neural Network for Sequence Modeling	❌	✅	✅	✅	✅	❌	✅	5
Token Merging: Your ViT But Faster	✅	✅	✅	✅	✅	❌	✅	6
Topology-aware Robust Optimization for Out-of-Distribution Generalization	✅	✅	✅	✅	❌	❌	✅	5
Toward Adversarial Training on Contextualized Language Representation	✅	✅	✅	✅	✅	❌	✅	6
Towards Addressing Label Skews in One-Shot Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Towards Better Selective Classification	❌	✅	✅	✅	✅	❌	✅	5
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective	❌	❌	❌	❌	✅	❌	✅	2
Towards Inferential Reproducibility of Machine Learning Research	❌	✅	✅	❌	✅	❌	✅	4
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes	✅	✅	✅	❌	❌	❌	✅	4
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection	❌	❌	✅	❌	✅	✅	✅	4
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs	✅	❌	❌	❌	❌	❌	❌	1
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case	✅	✅	✅	❌	✅	✅	✅	6
Towards Open Temporal Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Towards Robust Object Detection Invariant to Real-World Domain Shifts	✅	❌	✅	✅	❌	❌	✅	4
Towards Robustness Certification Against Universal Perturbations	❌	✅	✅	✅	✅	❌	✅	5
Towards Smooth Video Composition	❌	✅	✅	❌	✅	❌	✅	4
Towards Stable Test-time Adaptation in Dynamic Wild World	✅	✅	✅	❌	✅	❌	✅	5
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning	❌	❌	✅	❌	❌	❌	❌	1
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation	✅	❌	❌	❌	❌	❌	✅	2
Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks	❌	❌	✅	❌	❌	❌	❌	1
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism	✅	✅	✅	❌	✅	❌	✅	5
Towards convergence to Nash equilibria in two-team zero-sum games	❌	❌	✅	❌	❌	❌	✅	2
Towards the Generalization of Contrastive Self-Supervised Learning	❌	❌	✅	❌	❌	❌	✅	2
Trading Information between Latents in Hierarchical Variational Autoencoders	❌	✅	✅	❌	✅	❌	✅	4
Trainability Preserving Neural Pruning	✅	✅	✅	✅	✅	❌	✅	6
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions	✅	✅	✅	❌	✅	❌	✅	5
Training language models to summarize narratives improves brain alignment	✅	✅	✅	✅	❌	❌	✅	5
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis	✅	✅	❌	❌	❌	✅	✅	4
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation	❌	❌	✅	❌	✅	❌	✅	3
Transfer Learning with Deep Tabular Models	❌	✅	✅	✅	✅	❌	✅	5
Transfer NAS with Meta-learned Bayesian Surrogates	✅	✅	✅	✅	❌	❌	✅	5
Transferable Unlearnable Examples	❌	✅	✅	✅	❌	❌	✅	4
Transformer Meets Boundary Value Inverse Problems	❌	✅	✅	✅	✅	❌	✅	5
Transformer-Patcher: One Mistake Worth One Neuron	❌	✅	✅	✅	✅	❌	✅	5
Transformer-based World Models Are Happy With 100k Interactions	✅	✅	✅	❌	✅	❌	✅	5
Transformer-based model for symbolic regression via joint supervised learning	❌	✅	✅	✅	✅	❌	✅	5
Transformers Learn Shortcuts to Automata	✅	❌	❌	❌	✅	❌	✅	3
Transformers are Sample-Efficient World Models	✅	✅	✅	❌	✅	❌	✅	5
Treeformer: Dense Gradient Trees for Efficient Attention Computation	✅	❌	✅	❌	✅	❌	✅	4
TrojText: Test-time Invisible Textual Trojan Insertion	✅	✅	✅	✅	❌	❌	✅	5
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders	✅	✅	✅	❌	✅	✅	✅	6
Truthful Self-Play	✅	❌	✅	❌	❌	❌	✅	3
Tuning Frequency Bias in Neural Network Training with Nonuniform Data	❌	❌	✅	❌	❌	❌	✅	2
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection	✅	✅	✅	❌	❌	❌	❌	3
TypeT5: Seq2seq Type Inference using Static Analysis	❌	✅	✅	✅	✅	❌	✅	5
UL2: Unifying Language Learning Paradigms	✅	✅	✅	✅	✅	❌	✅	6
UNICORN: A Unified Backdoor Trigger Inversion Framework	❌	✅	✅	❌	✅	✅	✅	5
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks	❌	✅	✅	❌	❌	❌	✅	3
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States	✅	❌	✅	✅	✅	❌	✅	5
Unbiased Supervised Contrastive Learning	❌	✅	✅	❌	✅	✅	✅	5
Understanding DDPM Latent Codes Through Optimal Transport	❌	✅	✅	❌	❌	❌	✅	3
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example	❌	❌	✅	❌	❌	❌	✅	2
Understanding Embodied Reference with Touch-Line Transformer	❌	✅	✅	✅	✅	❌	✅	5
Understanding Influence Functions and Datamodels via Harmonic Analysis	✅	❌	✅	❌	❌	❌	✅	3
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles	❌	✅	✅	❌	❌	❌	✅	3
Understanding The Robustness of Self-supervised Learning Through Topic Modeling	❌	❌	✅	✅	✅	❌	✅	4
Understanding Train-Validation Split in Meta-Learning with Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
Understanding Why Generalized Reweighting Does Not Improve Over ERM	❌	❌	✅	❌	❌	❌	✅	2
Understanding Zero-shot Adversarial Robustness for Large-Scale Models	✅	✅	✅	❌	❌	❌	✅	4
Understanding and Adopting Rational Behavior by Bellman Score Estimation	✅	❌	✅	❌	❌	❌	❌	2
Understanding new tasks through the lens of training data via exponential tilting	✅	✅	✅	✅	❌	❌	✅	5
Understanding the Covariance Structure of Convolutional Filters	❌	✅	✅	❌	❌	❌	✅	3
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization	❌	❌	✅	❌	❌	❌	✅	2
Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning	❌	❌	✅	❌	❌	❌	✅	2
Understanding weight-magnitude hyperparameters in training binary networks	❌	✅	✅	❌	✅	❌	✅	4
Uni-Mol: A Universal 3D Molecular Representation Learning Framework	✅	✅	✅	✅	✅	❌	✅	6
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph	❌	✅	✅	✅	❌	❌	✅	4
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining	✅	✅	✅	✅	✅	❌	✅	6
Unicom: Universal and Compact Representation Learning for Image Retrieval	❌	✅	✅	✅	✅	❌	✅	5
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization	✅	❌	✅	❌	✅	❌	✅	4
Unified Discrete Diffusion for Simultaneous Vision-Language Generation	❌	✅	✅	❌	✅	❌	✅	4
Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics	❌	❌	❌	❌	❌	❌	✅	1
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching	❌	✅	✅	✅	❌	❌	✅	4
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval	❌	✅	✅	✅	❌	❌	✅	4
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?	✅	❌	✅	❌	❌	❌	✅	3
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity	❌	❌	✅	❌	❌	❌	✅	2
Unsupervised Learning for Combinatorial Optimization Needs Meta Learning	✅	✅	✅	✅	✅	✅	✅	7
Unsupervised Manifold Alignment with Joint Multidimensional Scaling	✅	✅	✅	❌	✅	❌	✅	5
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Unsupervised Model Selection for Time Series Anomaly Detection	❌	✅	✅	✅	✅	✅	✅	6
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations	✅	✅	✅	✅	✅	❌	✅	6
Unsupervised visualization of image datasets using contrastive learning	❌	✅	✅	✅	✅	✅	✅	6
Unveiling the sampling density in non-uniform geometric graphs	❌	❌	✅	✅	❌	❌	✅	3
User-Interactive Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks	✅	✅	✅	✅	❌	❌	✅	5
Using Language to Extend to Unseen Domains	❌	✅	✅	✅	✅	❌	✅	5
VA-DepthNet: A Variational Approach to Single Image Depth Prediction	❌	✅	✅	✅	✅	✅	✅	6
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training	✅	✅	✅	❌	❌	❌	✅	4
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation	✅	✅	✅	❌	✅	❌	✅	5
Valid P-Value for Deep Learning-driven Salient Region	✅	✅	✅	❌	❌	❌	✅	4
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top	✅	✅	✅	❌	✅	✅	✅	6
Variance-Aware Sparse Linear Bandits	✅	❌	❌	❌	❌	❌	❌	1
Variational Information Pursuit for Interpretable Predictions	❌	✅	✅	❌	✅	✅	✅	5
Variational Latent Branching Model for Off-Policy Evaluation	✅	✅	✅	❌	✅	❌	✅	5
Verifying the Union of Manifolds Hypothesis for Image Data	✅	✅	✅	✅	❌	❌	✅	5
Versatile Neural Processes for Learning Implicit Neural Representations	❌	✅	✅	❌	❌	❌	❌	2
Video Scene Graph Generation from Single-Frame Weak Supervision	❌	✅	✅	❌	❌	❌	✅	3
View Synthesis with Sculpted Neural Points	✅	✅	✅	❌	✅	❌	✅	5
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency	❌	✅	✅	✅	❌	❌	✅	4
Vision Transformer Adapter for Dense Predictions	❌	❌	✅	✅	✅	❌	✅	4
Visual Classification via Description from Large Language Models	❌	❌	✅	✅	❌	❌	✅	3
Visual Imitation Learning with Patch Rewards	✅	✅	✅	❌	❌	❌	✅	4
Visual Recognition with Deep Nearest Centroids	✅	✅	✅	✅	✅	❌	✅	6
Visually-Augmented Language Modeling	❌	✅	✅	❌	✅	❌	✅	4
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis	❌	✅	✅	❌	❌	✅	✅	4
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding	❌	✅	✅	✅	✅	❌	✅	5
Volumetric Optimal Transportation by Fast Fourier Transform	✅	❌	❌	❌	✅	❌	✅	3
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction	❌	✅	✅	❌	✅	❌	❌	3
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning	❌	✅	✅	✅	✅	❌	✅	5
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees	✅	✅	✅	❌	✅	✅	✅	6
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic	❌	✅	✅	✅	❌	❌	✅	4
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection	✅	✅	✅	✅	❌	❌	✅	5
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
Weighted Clock Logic Point Process	✅	✅	✅	✅	✅	✅	✅	7
Weighted Ensemble Self-Supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?	❌	✅	✅	✅	❌	✅	✅	5
What Do Self-Supervised Vision Transformers Learn?	❌	✅	✅	✅	✅	❌	✅	5
What Is Missing in IRM Training and Evaluation? Challenges and Solutions	✅	✅	✅	❌	❌	❌	✅	4
What Makes Convolutional Models Great on Long Sequence Modeling?	✅	✅	✅	✅	❌	❌	✅	5
What shapes the loss landscape of self supervised learning?	❌	❌	✅	❌	❌	❌	✅	2
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
When Source-Free Domain Adaptation Meets Learning with Noisy Labels	✅	❌	✅	❌	❌	❌	✅	3
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?	❌	✅	✅	✅	✅	❌	✅	5
When to Make and Break Commitments?	✅	✅	❌	❌	❌	❌	✅	3
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning	✅	❌	✅	❌	❌	✅	✅	4
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions	✅	❌	✅	❌	✅	❌	❌	3
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks	❌	❌	✅	❌	❌	❌	✅	2
Why (and When) does Local SGD Generalize Better than SGD?	✅	✅	✅	❌	✅	✅	✅	6
Why adversarial training can hurt robust accuracy	❌	❌	✅	✅	❌	❌	✅	3
WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations	❌	❌	✅	✅	✅	❌	✅	4
WikiWhy: Answering and Explaining Cause-and-Effect Questions	❌	✅	✅	✅	❌	❌	✅	4
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic	❌	❌	✅	❌	✅	❌	✅	3
Words are all you need? Language as an approximation for human similarity judgments	❌	✅	✅	✅	✅	❌	❌	4
Write and Paint: Generative Vision-Language Models are Unified Modal Learners	❌	✅	✅	✅	✅	❌	✅	5
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding	❌	❌	✅	✅	❌	❌	✅	3
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model	✅	✅	✅	❌	✅	❌	✅	5
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation	✅	✅	✅	❌	❌	❌	✅	4
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients	✅	✅	✅	✅	✅	❌	✅	6
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation	✅	❌	✅	❌	❌	❌	✅	3
gDDIM: Generalized denoising diffusion implicit models	✅	✅	✅	❌	✅	❌	✅	5
kNN-Diffusion: Image Generation via Large-Scale Retrieval	✅	❌	✅	✅	✅	❌	✅	5
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing	❌	✅	✅	✅	✅	❌	✅	5
wav2tok: Deep Sequence Tokenizer for Audio Retrieval	❌	✅	✅	✅	❌	❌	✅	4
What learning algorithm is in-context learning? Investigations with linear models	❌	✅	❌	❌	✅	❌	✅	3