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..

Transactions on Machine Learning Research (TMLR) - 2025

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
TMLR	2025	1418	0.62	4.51	94.71%	33.8%

Search Papers

	Pseudocode	Open Source Code	Open Datasets	Dataset Splits	Hardware Specification	Software Dependencies	Experiment Setup
$f$-Divergence Policy Optimization in Fully Decentralized Cooperative MARL	✅	✅	✅	❌	✅	✅	✅	6
(Implicit) Ensembles of Ensembles: Epistemic Uncertainty Collapse in Large Models	❌	❌	✅	❌	❌	❌	✅	2
2SSP: A Two-Stage Framework for Structured Pruning of LLMs	❌	✅	✅	✅	✅	❌	✅	5
A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior	✅	✅	✅	❌	✅	❌	✅	5
A Bias Correction Mechanism for Distributed Asynchronous Optimization	✅	✅	✅	✅	✅	❌	✅	6
A Case for Library-Level $k$-Means Binning in Histogram Gradient-Boosted Trees	✅	✅	✅	✅	✅	❌	✅	6
A Comprehensive Survey of Contamination Detection Methods in Large Language Models	❌	❌	✅	❌	❌	❌	❌	1
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges	❌	❌	✅	❌	❌	❌	❌	1
A Comprehensive Survey on Knowledge Distillation	❌	✅	✅	✅	❌	❌	❌	3
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection	❌	✅	✅	❌	❌	❌	✅	3
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games	✅	❌	❌	✅	✅	❌	✅	4
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
A Generalization Bound for Nearly-Linear Networks	❌	❌	✅	❌	❌	❌	✅	2
A Gold Standard Dataset for the Reviewer Assignment Problem	❌	✅	✅	❌	❌	❌	✅	3
A Hierarchical Nearest Neighbour Approach to Contextual Bandits	✅	❌	✅	✅	❌	❌	✅	4
A Lean Dataset for International Math Olympiad: Small Steps towards Writing Math Proofs for Hard Problems	❌	✅	✅	❌	❌	✅	✅	4
A Learning-Based Framework for Fair and Scalable Solution Generation in Kidney Exchange Problems	❌	❌	❌	✅	❌	✅	❌	2
A Local Polyak-Łojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models	✅	❌	❌	❌	❌	❌	✅	2
A Max-Min Approach to the Worst-Case Class Separation Problem	✅	❌	✅	✅	❌	✅	✅	5
A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models	✅	✅	✅	✅	✅	❌	✅	6
A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation	✅	✅	✅	✅	✅	❌	✅	6
A Neural Material Point Method for Particle-based Emulation	✅	✅	✅	✅	✅	❌	✅	6
A Note On The Stability Of The Focal Loss	❌	✅	✅	✅	❌	❌	✅	4
A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data and Overparameterization?	✅	❌	✅	✅	✅	❌	✅	5
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
A Pattern Language for Machine Learning Tasks	❌	✅	✅	✅	❌	❌	✅	4
A Practical Investigation of Spatially-Controlled Image Generation with Transformers	❌	✅	✅	✅	✅	❌	✅	5
A Proximal Operator for Inducing 2:4-Sparsity	✅	❌	✅	✅	✅	❌	✅	5
A Reproducibility Study of Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation	❌	❌	✅	❌	❌	❌	❌	1
A Scalable Approach for Mapper via Efficient Spatial Search	✅	✅	✅	❌	✅	❌	✅	5
A Self-Explainable Heterogeneous GNN for Relational Deep Learning	✅	✅	✅	✅	❌	❌	✅	5
A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs	❌	✅	✅	✅	❌	❌	✅	4
A Stochastic Polynomial Expansion for Uncertainty Propagation through Networks	✅	✅	✅	✅	❌	❌	✅	5
A Strong Baseline for Molecular Few-Shot Learning	✅	✅	✅	✅	❌	❌	✅	5
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems	❌	❌	❌	❌	❌	❌	❌	0
A Survey of Recent Backdoor Attacks and Defenses in Large Language Models	❌	❌	✅	❌	❌	❌	❌	1
A Survey of Reinforcement Learning from Human Feedback	✅	❌	✅	❌	❌	❌	❌	2
A Survey of State Representation Learning for Deep Reinforcement Learning	❌	❌	❌	❌	❌	❌	❌	0
A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches	❌	❌	✅	❌	❌	❌	❌	1
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot	❌	❌	✅	✅	❌	❌	✅	3
A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks	✅	✅	✅	❌	❌	❌	❌	3
A Survey on Large Language Model Acceleration based on KV Cache Management	❌	❌	✅	❌	❌	❌	❌	1
A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios	❌	❌	❌	❌	❌	❌	❌	0
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning	❌	✅	❌	❌	❌	❌	❌	1
A Survey on Verifiable Cross-Silo Federated Learning	✅	❌	❌	❌	❌	❌	❌	1
A Survey on the Honesty of Large Language Models	❌	❌	✅	❌	❌	❌	❌	1
A Systematic Evaluation of the Planning and Scheduling Abilities of the Reasoning Model o1	❌	❌	✅	✅	❌	❌	✅	3
A Theoretical Study of Neural Network Expressive Power via Manifold Topology	❌	❌	❌	❌	❌	❌	❌	0
A Unified Approach Towards Active Learning and Out-of-Distribution Detection	❌	✅	✅	✅	✅	❌	✅	5
A Unified View of Double-Weighting for Marginal Distribution Shift	✅	✅	✅	✅	❌	❌	❌	4
A User's Guide to Sampling Strategies for Sliced Optimal Transport	❌	✅	✅	❌	❌	❌	✅	3
A Vector Bernstein Inequality for Self-Normalized Martingales	❌	❌	❌	❌	❌	❌	❌	0
A comparison between humans and AI at recognizing objects in unusual poses	❌	✅	✅	✅	❌	❌	✅	4
A functional framework for nonsmooth autodiff with {\it maxpooling} functions	✅	❌	❌	❌	❌	❌	❌	1
A general framework of Riemannian adaptive optimization methods with a convergence analysis	✅	✅	✅	✅	✅	✅	✅	7
A limitation on black-box dynamics approaches to Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
A noise-corrected Langevin algorithm and sampling by half-denoising	❌	❌	❌	❌	❌	❌	✅	1
A note on the $k$-means clustering for missing data	❌	❌	✅	✅	❌	❌	✅	3
A reproducibility study of “User-item fairness tradeoffs in recommendations”	❌	✅	✅	✅	✅	❌	✅	5
A second-order-like optimizer with adaptive gradient scaling for deep learning	✅	✅	✅	✅	✅	❌	✅	6
A stochastic gradient descent algorithm with random search directions	❌	❌	❌	❌	❌	❌	✅	1
A thorough reproduction and evaluation of $\mu$P	❌	✅	✅	✅	✅	❌	✅	5
A unifying framework for generalised Bayesian online learning in non-stationary environments	✅	✅	✅	✅	❌	❌	✅	5
AB-UPT: Scaling Neural CFD Surrogates for High- Fidelity Automotive Aerodynamics Simulations via Anchored- Branched Universal Physics Transformers	❌	✅	✅	✅	✅	✅	✅	6
ABC: Achieving Better Control of Visual Embeddings using VLLMs	❌	✅	✅	✅	✅	❌	✅	5
ADAPT to Robustify Prompt Tuning Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization	❌	❌	✅	❌	✅	❌	✅	3
AEAP: A Reinforcement Learning Actor Ensemble Algorithm with Adaptive Pruning	✅	❌	✅	❌	✅	❌	✅	4
AI Agents That Matter	❌	✅	✅	✅	❌	❌	✅	4
ALTA: Compiler-Based Analysis of Transformers	✅	✅	✅	✅	❌	❌	✅	5
APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microscopy Images	❌	✅	✅	✅	✅	❌	✅	5
AQA-Bench: An Interactive Benchmark for Evaluating LLMs’ Sequential Reasoning Ability in Algorithmic Environments	❌	✅	✅	✅	❌	❌	✅	4
ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning	❌	❌	✅	✅	✅	❌	✅	4
ASTRA: A Scene-aware Transformer-based Model for Trajectory Prediction	❌	❌	✅	✅	✅	❌	✅	4
ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning	✅	✅	✅	✅	✅	❌	✅	6
AT4TS : Autotune for Time Series Foundation Models	✅	❌	✅	✅	✅	❌	✅	5
Abstraction for Bayesian Reinforcement Learning in Factored POMDPs	✅	❌	❌	❌	✅	❌	✅	3
AcademicEval: Live Long-Context LLM Benchmark	❌	✅	✅	✅	❌	❌	✅	4
Accelerated Training on Low-Power Edge Devices	✅	❌	✅	✅	✅	✅	✅	6
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics	✅	❌	✅	✅	✅	❌	✅	5
Accelerating Non-Conjugate Gaussian Processes By Trading Off Computation For Uncertainty	✅	❌	✅	✅	✅	❌	✅	5
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models	❌	❌	❌	❌	❌	❌	❌	0
Accumulator-Aware Post-Training Quantization for Large Language Models	✅	✅	✅	❌	✅	✅	✅	6
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment	❌	✅	✅	❌	✅	❌	✅	4
Activate and Adapt: A Two-Stage Framework for Open-Set Model Adaptation	✅	❌	✅	✅	❌	❌	✅	4
Activation sharding for scalable training of large models	✅	❌	❌	❌	✅	❌	✅	3
Active Diffusion Subsampling	✅	✅	✅	✅	✅	✅	✅	7
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval	✅	✅	✅	❌	❌	❌	✅	4
Active Prompt Learning with Vision-Language Model Priors	✅	❌	✅	✅	❌	❌	✅	4
Adam-family Methods with Decoupled Weight Decay in Deep Learning	✅	❌	✅	✅	✅	✅	✅	6
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks	✅	✅	✅	❌	✅	❌	✅	5
Adapting Chat Language Models Using Only Target Unlabeled Language Data	❌	✅	✅	✅	✅	❌	✅	5
Adaptive Clipping for Differential Private Federated Learning in Interpolation Regimes	✅	❌	✅	❌	❌	❌	✅	3
Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization	❌	✅	✅	❌	✅	❌	✅	4
Adaptive Group Robust Ensemble Knowledge Distillation	✅	✅	✅	✅	❌	❌	✅	5
Adaptive Incentive Design for Markov Decision Processes with Unknown Rewards	✅	✅	✅	❌	✅	❌	✅	5
Adaptive Mesh Quantization for Neural PDE Solvers	✅	❌	✅	✅	❌	✅	✅	5
Adaptive Multi-step Refinement Network for Robust Point Cloud Registration	❌	✅	✅	✅	✅	❌	✅	5
Adaptive Physics-informed Neural Networks: A Survey	❌	❌	❌	❌	❌	❌	❌	0
Adaptive Resolution Residual Networks — Generalizing Across Resolutions Easily and Efficiently	❌	❌	✅	❌	❌	❌	✅	2
Adjacency Search Embeddings	✅	❌	✅	✅	✅	❌	✅	5
Adversarial Bandits Against Arbitrary Strategies	✅	❌	❌	❌	❌	❌	❌	1
Adversarial Robustness of Graph Transformers	✅	✅	✅	✅	❌	❌	✅	5
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data	✅	✅	✅	✅	✅	❌	✅	6
Adversarial Surrogate Risk Bounds for Binary Classification	❌	❌	✅	❌	❌	❌	❌	1
Aggregating Algorithm and Axiomatic Loss Aggregation	✅	❌	✅	✅	✅	✅	✅	6
Agreement-Based Cascading for Efficient Inference	✅	❌	✅	❌	✅	❌	✅	4
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures	❌	❌	✅	❌	❌	❌	✅	2
Algorithm Configuration for Structured Pfaffian Settings	✅	❌	❌	❌	❌	❌	❌	1
Algorithmic fairness with monotone likelihood ratios	❌	❌	✅	❌	❌	❌	❌	1
Align and Distill: Unifying and Improving Domain Adaptive Object Detection	❌	✅	✅	✅	✅	✅	✅	6
AlignFix: Fixing Adversarial Perturbations by Agreement Checking for Adversarial Robustness against Black-box Attacks	✅	✅	✅	✅	✅	❌	✅	6
Almost Sure Convergence of Stochastic Gradient Methods under Gradient Domination	❌	❌	❌	❌	❌	❌	✅	1
Alternators For Sequence Modeling	✅	✅	✅	✅	✅	❌	✅	6
Amdahl’s Law for LLMs: A Throughput-Centric Analysis of Extreme LLM Quantization	❌	❌	✅	❌	✅	✅	✅	4
Amortized Inference of Causal Models via Conditional Fixed-Point Iterations	✅	✅	✅	✅	✅	❌	✅	6
Amphibian: A Meta-Learning Framework for Rehearsal-Free, Fast Online Continual Learning	✅	❌	✅	✅	✅	✅	✅	6
An Adversarial Perspective on Machine Unlearning for AI Safety	✅	✅	✅	✅	❌	❌	✅	5
An Analysis of Model Robustness across Concurrent Distribution Shifts	❌	✅	✅	✅	✅	❌	✅	5
An Analytical Model for Overparameterized Learning Under Class Imbalance	❌	❌	✅	✅	❌	✅	✅	4
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration	❌	✅	✅	✅	✅	❌	✅	5
An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem	✅	❌	❌	❌	❌	❌	✅	2
An Attribute-based Method for Video Anomaly Detection	❌	✅	✅	✅	✅	❌	✅	5
An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning	❌	✅	✅	✅	✅	❌	✅	5
An Efficient Training Algorithm for Models with Block-wise Sparsity	❌	❌	✅	✅	✅	❌	✅	4
An Embedding is Worth a Thousand Noisy Labels	✅	✅	✅	✅	❌	❌	✅	5
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration	❌	✅	✅	✅	✅	✅	✅	6
An Empirical Study of the Accuracy-Robustness Trade-off and Training Efficiency in Robust Self-Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
An Evolutionary Algorithm for Black-Box Adversarial Attack Against Explainable Methods	❌	❌	✅	✅	✅	❌	✅	4
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets	❌	✅	✅	✅	✅	❌	✅	5
An Information Theoretic Approach to Machine Unlearning	✅	❌	✅	✅	✅	❌	✅	5
An Information-Theoretic Lower Bound on the Generalization Error of Autoencoders	✅	✅	✅	✅	✅	❌	✅	6
An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems	❌	✅	✅	❌	✅	❌	✅	4
An analysis of the noise schedule for score-based generative models	❌	✅	✅	✅	✅	❌	✅	5
An elementary concentration bound for Gibbs measures arising in statistical learning theory	❌	❌	❌	❌	❌	❌	❌	0
Analysis of generalization capacities of Neural Ordinary Differential Equations	❌	✅	✅	✅	❌	❌	✅	4
Angular Regularization for Positive-Unlabeled Learning on the Hypersphere	❌	❌	✅	✅	❌	❌	✅	3
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees	✅	❌	✅	✅	✅	❌	✅	5
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs	❌	❌	✅	✅	❌	❌	✅	3
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts	✅	✅	✅	✅	❌	❌	✅	5
Approximation, Estimation and Optimization Errors for a Deep Neural Network	❌	❌	❌	❌	❌	❌	✅	1
Approximations to worst-case data dropping: unmasking failure modes	❌	✅	✅	❌	✅	✅	✅	5
Are Convex Optimization Curves Convex?	❌	❌	❌	❌	❌	❌	❌	0
Are Data Embeddings Effective in Time Series Forecasting?	❌	✅	✅	✅	✅	✅	✅	6
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?	✅	✅	✅	✅	❌	❌	✅	5
Are Large Language Models Really Robust to Word-Level Perturbations?	❌	❌	✅	✅	❌	❌	✅	3
Are We Really Learning the Score Function? Reinterpreting Diffusion Models Through Wasserstein Gradient Flow Matching	❌	✅	✅	❌	❌	❌	✅	3
Ask Your Distribution Shift if Pre-Training is Right for You	❌	✅	✅	✅	✅	❌	✅	5
Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture	❌	✅	✅	❌	✅	❌	✅	4
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection	✅	❌	✅	✅	✅	❌	✅	5
Attention Mechanisms Don’t Learn Additive Models: Rethinking Feature Importance for Transformers	✅	✅	✅	❌	✅	❌	✅	5
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!	❌	❌	✅	✅	❌	❌	✅	3
AttentionBreaker: Adaptive Evolutionary Optimization for Unmasking Vulnerabilities in LLMs through Bit-Flip Attacks	✅	✅	✅	✅	✅	❌	✅	6
AttentionSmithy: A Modular Framework for Rapid Transformer Development	✅	✅	✅	❌	✅	❌	✅	5
AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation	✅	✅	✅	✅	✅	❌	✅	6
AuToMATo: An Out-Of-The-Box Persistence-Based Clustering Algorithm	✅	✅	✅	❌	✅	❌	✅	5
Augmented Invertible Koopman Autoencoder for long-term time series forecasting	❌	✅	✅	✅	❌	❌	✅	4
Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation	✅	❌	❌	❌	✅	❌	✅	3
AutoAnnotator: A Collaborative Annotation Framework for Large and Small Language Models	❌	✅	✅	❌	✅	❌	✅	4
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving	✅	✅	✅	❌	✅	❌	✅	5
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation	✅	✅	✅	❌	✅	❌	✅	5
Autonomous Imagination: Closed-Loop Decomposition of Visual-to-Textual Conversion in Visual Reasoning for Multimodal Large Language Models	✅	✅	✅	✅	✅	❌	❌	5
Autoregressive Models in Vision: A Survey	❌	❌	✅	❌	❌	❌	❌	1
Avoiding Structural Pitfalls: Self-Supervised Low-Rank Feature Tuning for Graph Test-Time Adaptation	✅	❌	✅	✅	✅	❌	✅	5
B-cos LM: Efficiently Transforming Pre-trained Language Models for Improved Explainability	❌	✅	✅	✅	✅	❌	✅	5
BELLA: Black-box model Explanations by Local Linear Approximations	✅	✅	✅	✅	✅	✅	✅	7
BM$^2$: Coupled Schrödinger Bridge Matching	✅	✅	✅	❌	❌	❌	✅	4
Bags of Projected Nearest Neighbours: Competitors to Random Forests?	✅	✅	✅	✅	❌	✅	✅	6
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models	❌	✅	✅	✅	✅	✅	✅	6
Balancing Utility and Privacy: Dynamically Private SGD with Random Projection	✅	✅	✅	❌	✅	❌	✅	5
Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts	❌	❌	✅	❌	✅	❌	✅	3
Batched Nonparametric Bandits via k-Nearest Neighbor UCB	✅	❌	✅	❌	❌	❌	✅	3
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning	✅	✅	✅	✅	✅	❌	✅	6
Bayesian Neighborhood Adaptation for Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Bayesian Optimization of Robustness Measures under Input Uncertainty: A Randomized Gaussian Process Upper Confidence Bound Approach	✅	❌	✅	❌	❌	❌	✅	3
Bayesian Transferability Assessment for Spiking Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Before Forgetting, There's Learning: Representation Learning Challenges in Online Unsupervised Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Behaviour Discovery and Attribution for Explainable Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning	❌	✅	✅	✅	❌	❌	✅	4
Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization	✅	❌	❌	❌	❌	❌	✅	2
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning	✅	❌	✅	✅	✅	❌	✅	5
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Beyond Marginals: Learning Joint Spatio-Temporal Patterns for Multivariate Anomaly Detection	✅	✅	✅	✅	❌	❌	✅	5
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts	✅	❌	✅	✅	✅	❌	✅	5
Beyond ordinary Lipschitz constraints: Differentially Private optimization with TNC	✅	❌	✅	✅	❌	❌	✅	4
Bi-Mamba: Towards Accurate 1-Bit State Space Model	❌	✅	✅	❌	✅	❌	✅	4
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness	❌	✅	✅	✅	✅	❌	✅	5
Boosting Revisited: Benchmarking and Advancing LP-Based Ensemble Methods	✅	✅	✅	✅	✅	✅	✅	7
Bridging Causality, Individual Fairness, and Adversarial Robustness in the Absence of Structural Causal Model	❌	✅	✅	❌	❌	❌	✅	3
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks	✅	❌	✅	✅	❌	❌	✅	4
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens	✅	❌	✅	✅	✅	❌	✅	5
Budgeted-Bandits with Controlled Restarts with Applications in Learning and Computing	✅	❌	✅	✅	❌	❌	✅	4
Buffer-based Gradient Projection for Continual Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection	❌	✅	✅	✅	❌	❌	✅	4
Byzantine-Robust and Hessian-Free Federated Bilevel Optimization	✅	❌	✅	❌	❌	❌	✅	3
Bézier Flow: a Surface-wise Gradient Descent Method for Multi-objective Optimization	✅	✅	✅	✅	✅	✅	✅	7
CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives	✅	✅	✅	❌	✅	❌	✅	5
CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection	✅	❌	✅	✅	✅	✅	✅	6
CLImage: Human-Annotated Datasets for Complementary-Label Learning	✅	✅	✅	✅	✅	❌	✅	6
CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization	✅	✅	✅	✅	✅	❌	✅	6
CNN Interpretability with Multivector Tucker Saliency Maps for Self-Supervised Models	✅	✅	✅	✅	❌	❌	✅	5
COMMA: A Communicative Multimodal Multi-Agent Benchmark	❌	✅	✅	✅	✅	❌	✅	5
COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling	✅	❌	✅	✅	✅	❌	✅	5
CREW-Wildfire: Benchmarking Agentic Multi-Agent Collaborations at Scale	✅	❌	❌	✅	✅	✅	✅	5
CXAD: Contrastive Explanations for Anomaly Detection: Algorithms, Complexity Results and Experiments	✅	❌	✅	✅	❌	❌	✅	4
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning	✅	✅	✅	✅	✅	❌	✅	6
Calibrated Probabilistic Forecasts for Arbitrary Sequences	✅	❌	✅	✅	✅	❌	✅	5
Can AI-Generated Text be Reliably Detected? Stress Testing AI Text Detectors Under Various Attacks	❌	✅	✅	✅	❌	❌	✅	4
Can Kernel Methods Explain How the Data Affects Neural Collapse?	❌	✅	✅	❌	✅	❌	✅	4
Can Masked Autoencoders Also Listen to Birds?	❌	✅	✅	✅	✅	✅	✅	6
Can Optimization Trajectories Explain Multi-Task Transfer?	❌	✅	✅	✅	❌	❌	✅	4
Capsule Network Projectors are Equivariant and Invariant Learners	❌	✅	✅	✅	✅	❌	✅	5
Cardinality Sparsity: Applications in Matrix-Matrix Multiplications and Machine Learning	✅	❌	✅	❌	✅	❌	✅	4
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning	✅	✅	❌	❌	✅	❌	✅	4
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data	✅	✅	✅	✅	✅	❌	✅	6
Causal Ordering for Structure Learning from Time Series	✅	✅	✅	❌	❌	❌	✅	4
Celo: Training Versatile Learned Optimizers on a Compute Diet	✅	✅	✅	✅	✅	❌	✅	6
Certified Robustness to Data Poisoning in Gradient-Based Training	✅	✅	✅	❌	✅	❌	✅	5
Change Point Detection in Dynamic Graphs with Decoder-only Latent Space Model	✅	✅	✅	✅	✅	❌	✅	6
Change Point Detection in the Frequency Domain with Statistical Reliability	✅	✅	✅	✅	✅	❌	✅	6
Change Point Detection on A Separable Model for Dynamic Networks	✅	✅	✅	❌	❌	✅	✅	5
Characterizing Vision Backbones for Dense Prediction with Dense Attentive Probing	❌	✅	✅	✅	✅	❌	✅	5
Characterizing the Convergence of Game Dynamics via Potentialness	✅	✅	❌	❌	❌	❌	✅	3
Characterizing the Training Dynamics of Private Fine-tuning with Langevin diffusion	❌	❌	✅	✅	❌	❌	✅	3
Chimera: State Space Models Beyond Sequences	❌	❌	✅	✅	❌	❌	✅	3
Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation	✅	✅	✅	✅	✅	❌	✅	6
Class Incremental Learning from First Principles: A Review	❌	❌	✅	✅	❌	❌	❌	2
Class-wise Generalization Error: an Information-Theoretic analysis	❌	❌	✅	❌	❌	❌	✅	2
Classifier-Free Guidance is a Predictor-Corrector	✅	❌	✅	❌	❌	❌	✅	3
Client-only Distributed Markov Chain Monte Carlo Sampling over a Network	✅	❌	❌	❌	❌	❌	✅	2
Closed-Form Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Cluster Agnostic Network Lasso Bandits	✅	❌	❌	❌	✅	❌	✅	3
Cluster Tree for Nearest Neighbor Search	✅	❌	✅	❌	❌	❌	✅	3
Cluster and Predict Latents Patches for Improved Masked Image Modeling	✅	✅	✅	✅	✅	❌	✅	6
Clustering-Based Validation Splits for Model Selection under Domain Shift	✅	❌	✅	✅	❌	✅	✅	5
CoCoIns: Consistent Subject Generation via Contrastive Instantiated Concepts	❌	✅	✅	❌	✅	❌	✅	4
CoDe: Blockwise Control for Denoising Diffusion Models	✅	✅	✅	❌	✅	❌	✅	5
CoNNect: Connectivity-Based Regularization for Structural Pruning of Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement	✅	❌	✅	✅	❌	❌	✅	4
Collaboration with Dynamic Open Ad Hoc Team via Team State Modelling	✅	❌	✅	✅	✅	❌	✅	5
Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget	✅	✅	✅	✅	✅	❌	✅	6
ComFe: An Interpretable Head for Vision Transformers	✅	✅	✅	✅	✅	❌	✅	6
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization	✅	✅	✅	✅	✅	❌	✅	6
Combating Inter-Task Confusion and Catastrophic Forgetting by Metric Learning and Re-Using a Past Trained Model	❌	✅	✅	✅	✅	❌	✅	5
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing	✅	❌	✅	❌	✅	✅	✅	5
Combining Machine Learning Defenses without Conflicts	✅	✅	✅	✅	❌	❌	✅	5
Cometh: A continuous-time discrete-state graph diffusion model	✅	✅	✅	✅	✅	❌	✅	6
Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection	✅	❌	✅	✅	✅	❌	✅	5
Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions	✅	✅	✅	❌	❌	❌	✅	4
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum	✅	✅	✅	✅	✅	✅	✅	7
Comparing the information content of probabilistic representation spaces	❌	✅	✅	❌	✅	❌	✅	4
Complementarity: Toward Better Metrics and Optimizing Data Efficiency in LLMs	✅	❌	✅	✅	❌	❌	✅	4
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation	✅	✅	✅	✅	❌	✅	✅	6
Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning	✅	✅	✅	❌	❌	❌	✅	4
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization	✅	✅	✅	✅	✅	✅	✅	7
Concept Siever : Towards Controllable Erasure of Concepts from Diffusion Models without Side-effect	❌	❌	✅	❌	❌	❌	✅	2
Conditional Image Synthesis with Diffusion Models: A Survey	❌	❌	❌	❌	❌	❌	❌	0
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design	✅	✅	✅	✅	❌	❌	✅	5
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems	❌	✅	✅	✅	✅	✅	✅	6
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs	✅	✅	✅	✅	✅	❌	✅	6
Conformalized Credal Regions for Classification with Ambiguous Ground Truth	✅	❌	✅	✅	❌	❌	✅	4
Connecting Parameter Magnitudes and Hessian Eigenspaces at Scale using Sketched Methods	✅	✅	✅	✅	✅	❌	✅	6
Consistency Aware Robust Learning under Noisy Labels	✅	✅	✅	✅	❌	❌	✅	5
Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models	❌	✅	✅	✅	✅	❌	✅	5
Constrained Reinforcement Learning with Smoothed Log Barrier Function	✅	❌	✅	❌	❌	❌	✅	3
Contextual Combinatorial Bandits With Changing Action Sets Via Gaussian Processes	✅	✅	✅	❌	✅	❌	✅	5
Continual Learning from Simulated Interactions via Multitask Prospective Rehearsal for Bionic Limb Behavior Modeling	✅	❌	✅	✅	❌	❌	✅	4
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors	✅	✅	✅	✅	✅	❌	✅	6
Continual Pre-training of MoEs: How robust is your router?	❌	❌	✅	✅	✅	❌	✅	4
Continual learning via probabilistic exchangeable sequence modelling	✅	✅	✅	✅	✅	❌	✅	6
Continuous Language Model Interpolation yields Dynamic and Controllable Text Generation	❌	✅	✅	✅	✅	❌	✅	5
Continuous Parallel Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems	❌	✅	✅	❌	✅	❌	✅	4
Controlled Model Debiasing through Minimal and Interpretable Updates	✅	✅	✅	✅	❌	❌	✅	5
Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators	❌	✅	❌	❌	❌	❌	✅	2
Convergence Aspects of Hybrid Kernel SVGD	✅	✅	✅	✅	❌	❌	✅	5
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance	✅	❌	✅	❌	❌	❌	✅	3
Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence	❌	❌	❌	❌	❌	❌	✅	1
Convergence of linear programming hierarchies for Gibbs states of spin systems	❌	❌	❌	❌	❌	❌	❌	0
Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space	❌	✅	✅	✅	✅	✅	✅	6
Cooperative Minibatching in Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Coreset-Driven Re-Labeling: Tackling Noisy Annotations with Noise-Free Gradients	✅	✅	✅	✅	❌	❌	✅	5
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences	✅	✅	✅	✅	✅	❌	✅	6
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models	❌	✅	✅	✅	❌	❌	✅	4
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach	✅	✅	✅	❌	✅	❌	✅	5
Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability	❌	❌	✅	✅	✅	❌	✅	4
Counterfactual Learning of Stochastic Policies with Continuous Actions	✅	✅	✅	✅	✅	❌	✅	6
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security	✅	✅	✅	❌	❌	❌	✅	4
Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees	✅	✅	✅	✅	✅	❌	✅	6
CroissantLLM: A Truly Bilingual French-English Language Model	❌	✅	✅	✅	✅	❌	✅	5
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective	❌	❌	✅	❌	✅	❌	✅	3
Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision	❌	✅	✅	❌	✅	✅	✅	5
Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study	❌	✅	✅	✅	✅	✅	✅	6
Ctrl-V: Higher Fidelity Autonomous Vehicle Video Generation with Bounding-Box Controlled Object Motion	❌	✅	✅	❌	❌	❌	❌	2
Cumulative Reasoning with Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud	❌	✅	✅	✅	✅	❌	✅	5
Customizing Spider Silk: Generative Models with Mechanical Property Conditioning for Protein Engineering	❌	✅	✅	✅	❌	❌	✅	4
CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research?	❌	✅	✅	✅	❌	❌	✅	4
Cycle Conditioning for Robust Representation Learning from Categorical Data	✅	❌	✅	✅	❌	❌	✅	4
D2 Actor Critic: Diffusion Actor Meets Distributional Critic	✅	❌	✅	✅	❌	❌	✅	4
DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations	❌	❌	✅	✅	✅	❌	✅	4
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation	✅	✅	✅	✅	✅	✅	✅	7
DIVINE: Diverse-Inconspicuous Feature Learning to Mitigate Abridge Learning	✅	✅	✅	✅	✅	✅	✅	7
DNOD: Deformable Neural Operators for Object Detection in SAR Images	✅	✅	✅	❌	✅	❌	✅	5
DNR-Pruning: Sparsity-Aware Pruning via Dying Neuron Reactivation in Convolutional Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators	❌	✅	✅	✅	✅	❌	✅	5
DRAGON: Distributional Rewards Optimize Diffusion Generative Models	✅	❌	✅	✅	✅	❌	✅	5
DRDT3: Diffusion-Refined Decision Test-Time Training Model	✅	❌	✅	❌	✅	❌	✅	4
DafnyBench: A Benchmark for Formal Software Verification	✅	✅	✅	❌	✅	✅	✅	6
Daphne: Multi-Pass Compilation of Probabilistic Programs into Graphical Models and Neural Networks	❌	✅	❌	❌	❌	❌	❌	1
Data Augmentation Policy Search for Long-Term Forecasting	✅	✅	✅	❌	✅	❌	✅	5
Data Matters Most: Auditing Social Bias in Contrastive Vision–Language Models	❌	✅	✅	✅	✅	❌	✅	5
Data-Driven Discovery of PDEs via the Adjoint Method	✅	✅	❌	❌	✅	❌	✅	4
Dataset Condensation with Color Compensation	✅	✅	✅	✅	✅	❌	✅	6
Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization	✅	❌	❌	❌	❌	❌	❌	1
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models	✅	✅	✅	❌	✅	❌	✅	5
Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization	✅	✅	❌	✅	✅	✅	✅	6
Decoding-based Regression	❌	❌	✅	✅	✅	❌	✅	4
Decomposed Direct Preference Optimization for Structure-Based Drug Design	❌	✅	✅	✅	✅	❌	✅	5
Decomposing The Dark Matter of Sparse Autoencoders	❌	✅	✅	✅	❌	❌	✅	4
Decoupled Sequence and Structure Generation for Realistic Antibody Design	✅	❌	✅	✅	✅	❌	✅	5
Deep Active Learning in the Open World	✅	❌	✅	✅	✅	✅	✅	6
Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning	❌	❌	✅	✅	❌	❌	✅	3
Deep Autoregressive Models as Causal Inference Engines	❌	✅	✅	✅	✅	❌	✅	5
Deep Koopman Learning using Noisy Data	✅	❌	✅	✅	✅	❌	✅	5
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)	❌	❌	✅	❌	❌	❌	❌	1
DeepRRTime: Robust Time-series Forecasting with a Regularized INR Basis	❌	✅	✅	✅	✅	❌	✅	5
Defending Against Unforeseen Failure Modes with Latent Adversarial Training	✅	✅	✅	✅	❌	❌	✅	5
Deflated Dynamics Value Iteration	✅	✅	✅	❌	❌	❌	✅	4
DeformTime: capturing variable dependencies with deformable attention for time series forecasting	❌	✅	✅	✅	✅	❌	✅	5
Demystifying amortized causal discovery with transformers	❌	✅	✅	✅	✅	❌	✅	5
Denoising Pretrained Black-box Models via Amplitude-Guided Phase Realignment	✅	❌	✅	✅	❌	❌	✅	4
Density of states in neural networks: an in-depth exploration of learning in parameter space	✅	✅	✅	✅	❌	❌	✅	5
Dependency-Aware Semi-Structured Sparsity of GLU Variants in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Dependency-aware Maximum Likelihood Estimation for Active Learning	✅	❌	✅	✅	✅	❌	✅	5
Design Editing for Offline Model-based Optimization	✅	❌	✅	❌	✅	❌	✅	4
Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights	✅	❌	✅	❌	✅	❌	✅	4
Designing a Conditional Prior Distribution for Flow-Based Generative Models	✅	✅	✅	✅	❌	❌	✅	5
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions	✅	✅	✅	✅	❌	❌	✅	5
Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature	❌	✅	✅	✅	✅	❌	✅	5
Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences	✅	✅	✅	✅	✅	❌	✅	6
DiffCLIP: Differential Attention Meets CLIP	❌	✅	✅	✅	✅	❌	✅	5
DiffNat : Exploiting the Kurtosis Concentration Property for Image quality improvement	✅	✅	✅	✅	✅	❌	✅	6
DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation	✅	✅	✅	✅	✅	✅	✅	7
Differentiable Causal Discovery of Linear Non-Gaussian Acyclic Models Under Unmeasured Confounding	✅	❌	✅	❌	❌	✅	✅	4
Differentially Private Clustered Federated Learning	✅	❌	✅	✅	❌	❌	✅	4
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance	✅	✅	✅	✅	✅	❌	✅	6
Differentially Private Source-Target Clustering	✅	✅	✅	✅	✅	❌	✅	6
Differentiated Aggregation to Improve Generalization in Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
Diffusion Model Predictive Control	✅	❌	✅	❌	✅	❌	✅	4
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Diffusion on Graph: Augmentation of Graph Structure for Node Classification	✅	✅	✅	✅	✅	❌	✅	6
Diffusion-RainbowPA: Improvements Integrated Preference Alignment for Diffusion-based Text-to-Image Generation	❌	❌	✅	❌	✅	❌	✅	3
Dimension reduction via score ratio matching	✅	❌	❌	❌	❌	❌	❌	1
Directed Exploration in Reinforcement Learning from Linear Temporal Logic	✅	✅	✅	❌	✅	❌	✅	5
Directed Graph Generation with Heat Kernels	✅	❌	❌	✅	✅	❌	✅	4
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
Disappearance of Timestep Embedding: A Case Study on Neural ODE and Diffusion Models	❌	❌	✅	✅	✅	❌	✅	4
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models	❌	✅	✅	✅	✅	❌	✅	5
Discrete Audio Tokens: More Than a Survey!	✅	❌	✅	✅	✅	❌	✅	5
Disentangled Embedding through Style and Mutual Information for Domain Generalization	✅	❌	✅	✅	❌	❌	✅	4
Disentangled and Self-Explainable Node Representation Learning	✅	✅	✅	✅	❌	❌	✅	5
Disobeying Directions: Switching Random Walk Filters for Unsupervised Node Embedding Learning on Directed Graphs	❌	✅	✅	✅	✅	❌	✅	5
Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective	❌	✅	✅	✅	✅	❌	✅	5
Distilling Datasets Into Less Than One Image	✅	❌	✅	✅	✅	❌	✅	5
Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction	✅	❌	✅	✅	✅	❌	✅	5
Distributed Multi-Agent Lifelong Learning	✅	✅	✅	❌	❌	❌	✅	4
Distributed Quasi-Newton Method for Fair and Fast Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Distributed and Secure Kernel-Based Quantum Machine Learning	❌	✅	✅	✅	✅	❌	✅	5
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein	✅	✅	✅	❌	✅	❌	✅	5
Distributionally Robust Coreset Selection under Covariate Shift	✅	❌	✅	✅	✅	❌	✅	5
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization	✅	✅	✅	✅	✅	✅	✅	7
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching	✅	❌	✅	✅	✅	❌	✅	5
Diverse Condensed Data Generation via Class Preserving Distribution Matching	✅	✅	✅	✅	✅	❌	✅	6
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images	❌	❌	✅	✅	✅	❌	✅	4
Diversity Augmentation of Dynamic User Preference Data for Boosting Personalized Text Summarizers	✅	✅	✅	✅	✅	❌	✅	6
Diversity-Driven View Subset Selection for Indoor Novel View Synthesis	✅	✅	✅	✅	✅	❌	✅	6
Diversity-Enhanced and Classification-Aware Prompt Learning for Few-Shot Learning via Stable Diffusion	✅	✅	✅	✅	✅	✅	✅	7
Divide and Merge: Motion and Semantic Learning in End-to-End Autonomous Driving	❌	✅	✅	❌	✅	❌	✅	4
Do Concept Bottleneck Models Respect Localities?	❌	✅	✅	❌	✅	❌	✅	4
Do Think Tags Really Help LLMs Plan? A Critical Evaluation of ReAct-Style Prompting	❌	✅	✅	❌	❌	✅	✅	4
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation	❌	✅	✅	✅	❌	❌	✅	4
Does confidence calibration improve conformal prediction?	✅	❌	✅	✅	❌	❌	✅	4
Does equivariance matter at scale?	❌	❌	✅	✅	❌	❌	✅	3
Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index Prediction	❌	❌	❌	✅	❌	❌	✅	2
Don’t Judge Before You CLIP: A Unified Approach for Perceptual Tasks	❌	✅	✅	✅	✅	❌	✅	5
Double Horizon Model-Based Policy Optimization	✅	✅	✅	✅	✅	❌	✅	6
Double Machine Learning Based Structure Identification from Temporal Data	✅	✅	✅	✅	✅	❌	✅	6
Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach	✅	✅	✅	✅	✅	✅	✅	7
Doubly Robust Uncertainty Quantification for Quantile Treatment Effects in Sequential Decision Making	✅	✅	❌	✅	❌	❌	✅	4
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization	✅	✅	✅	✅	✅	❌	✅	6
Dual Caption Preference Optimization for Diffusion Models	❌	❌	✅	❌	✅	❌	✅	3
Dual Natural Gradient Descent for Scalable Training of Physics-Informed Neural Networks	✅	❌	❌	❌	✅	✅	✅	4
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Pricing in the Linear Valuation Model using Shape Constraints	✅	✅	❌	❌	❌	❌	✅	3
Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power	❌	✅	✅	✅	✅	❌	✅	5
Dynamics of the accelerated t-SNE	❌	❌	✅	❌	✅	❌	✅	3
Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling	✅	❌	✅	✅	✅	❌	✅	5
EDM-TTS: Efficient Dual-Stage Masked Modeling for Alignment-Free Text-to-Speech Synthesis	❌	❌	✅	✅	✅	❌	✅	4
EL-Clustering: Combining Upper- and Lower-Bounded Clusterings for Equitable Load Constraints	✅	✅	✅	❌	✅	❌	✅	5
EMMA: Efficient Visual Alignment in Multi-Modal LLMs	❌	❌	✅	✅	❌	❌	✅	3
EMMA: End-to-End Multimodal Model for Autonomous Driving	❌	❌	✅	❌	❌	❌	❌	1
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control	✅	❌	✅	❌	✅	❌	✅	4
Early Classification of Time Series: A Survey and Benchmark	❌	✅	✅	✅	✅	❌	✅	5
Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations	❌	✅	❌	❌	❌	❌	✅	2
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution	✅	❌	✅	✅	❌	❌	✅	4
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective	❌	✅	✅	✅	✅	❌	✅	5
Efficient Diffusion Models: A Survey	❌	❌	✅	❌	❌	❌	❌	1
Efficient Distillation of Classifier-Free Guidance using Adapters	✅	❌	✅	✅	✅	❌	✅	5
Efficient Exploration in Multi-Agent Reinforcement Learning via Farsighted Self-Direction	❌	❌	✅	❌	✅	❌	✅	3
Efficient Few-Shot Continual Learning in Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models	❌	❌	✅	❌	✅	✅	✅	4
Efficient Knowledge Injection in LLMs via Self-Distillation	❌	✅	✅	✅	✅	❌	✅	5
Efficient Multi-Agent Cooperation Learning through Teammate Lookahead	✅	❌	✅	❌	❌	❌	✅	3
Efficient Object-Centric Representation Learning using Masked Generative Modeling	✅	❌	✅	❌	✅	❌	✅	4
Efficient Open Set Single Image Test Time Adaptation of Vision Language Models	❌	✅	✅	✅	✅	❌	✅	5
Efficient Reasoning Models: A Survey	❌	❌	✅	❌	❌	❌	❌	1
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization	❌	✅	✅	❌	✅	❌	✅	4
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs	✅	✅	✅	✅	✅	✅	✅	7
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients	✅	❌	✅	❌	✅	❌	✅	4
Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation	❌	✅	✅	✅	✅	❌	✅	5
Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Efficient pooling of predictions via kernel embeddings	❌	✅	✅	✅	❌	❌	✅	4
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting	✅	❌	✅	❌	✅	❌	✅	4
Emergent Corpus Pre-training Benefits Vision Language Models	❌	❌	✅	✅	✅	❌	✅	4
Emergent Neural Network Mechanisms for Generalization to Objects in Novel Orientations	❌	✅	✅	❌	✅	❌	✅	4
Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations	❌	✅	✅	✅	✅	❌	✅	5
Emergent Symbol-like Number Variables in Artificial Neural Networks	✅	❌	❌	✅	✅	✅	✅	5
Emergent representations in networks trained with the Forward-Forward algorithm	❌	✅	✅	✅	✅	❌	✅	5
Empirical Bayes Trend Filtering Through a Variational Inference Framework	✅	✅	✅	✅	✅	❌	✅	6
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning	❌	✅	✅	❌	❌	❌	❌	2
Enabling Automatic Differentiation with Mollified Graph Neural Operators	✅	✅	✅	✅	❌	❌	✅	5
Enabling Users to Falsify Deepfake Attacks	❌	✅	✅	✅	✅	✅	✅	6
Encoder-only Next Token Prediction	✅	❌	✅	✅	❌	❌	✅	4
End-to-End Conformal Calibration for Optimization Under Uncertainty	✅	✅	✅	✅	✅	❌	✅	6
End-to-end Training for Text-to-Image Synthesis using Dual-Text Embeddings	❌	❌	✅	✅	✅	❌	✅	4
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance	✅	❌	✅	❌	❌	❌	✅	3
Enhancing Cost Efficiency in Active Learning with Candidate Set Query	✅	❌	✅	✅	✅	❌	✅	5
Enhancing Diversity in Text-to-Image Generation without Compromising Fidelity	✅	❌	✅	❌	✅	❌	✅	4
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)	✅	❌	✅	✅	✅	❌	✅	5
Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining	✅	✅	✅	✅	✅	❌	✅	6
Enhancing Parameter Efficiency and Generalization in Large Models: A Regularized and Masked Low-Rank Adaptation Approach	✅	❌	✅	✅	❌	❌	✅	4
Enhancing Physics-Informed Neural Networks Through Feature Engineering	❌	❌	✅	✅	✅	✅	✅	5
Enhancing Plaque Segmentation in CCTA with Prompt- based Diffusion Data Augmentation	❌	✅	✅	✅	❌	❌	✅	4
Enhancing Remaining Useful Life Prediction with Ensemble Multi-Term Fourier Graph Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
Enhancing Sample Generation of Diffusion Models using Noise Level Correction	✅	✅	✅	✅	✅	❌	✅	6
Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics	✅	✅	✅	❌	✅	✅	✅	6
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems	✅	✅	✅	✅	✅	❌	✅	6
Ensemble and Mixture-of-Experts DeepONets For Operator Learning	❌	❌	✅	✅	✅	❌	✅	4
Entropy-Regularized Process Reward Model	❌	❌	✅	✅	✅	❌	✅	4
Equivalent Linear Mappings of Large Language Models	❌	✅	❌	❌	✅	❌	✅	3
Estimating the Event-Related Potential from Few EEG Trials	❌	✅	✅	✅	❌	❌	✅	4
Evaluating Compositional Scene Understanding in Multimodal Generative Models	❌	✅	✅	✅	✅	✅	✅	6
Evaluating Interpretable Methods via Geometric Alignment of Functional Distortions	✅	✅	✅	❌	✅	❌	✅	5
Evaluating Long Range Dependency Handling in Code Generation LLMs	✅	✅	✅	❌	✅	❌	✅	5
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration	❌	✅	✅	❌	❌	❌	✅	3
Evaluating explainability techniques on discrete-time graph neural networks	✅	✅	✅	✅	❌	❌	✅	5
Evaluating the Robustness of Analogical Reasoning in Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Evaluation of Best-of-N Sampling Strategies for Language Model Alignment	❌	❌	✅	✅	❌	❌	✅	3
Event-Triggered Time-Varying Bayesian Optimization	✅	✅	✅	✅	✅	❌	✅	6
Evolution guided generative flow networks	✅	✅	✅	✅	✅	❌	✅	6
Evolution of Discriminator and Generator Gradients in GAN Training: From Fitting to Collapse	✅	✅	✅	❌	❌	❌	✅	4
ExCeL: Combined Extreme and Collective Logit Information for Out-of-Distribution Detection	❌	❌	✅	✅	❌	❌	✅	3
ExDBN: Learning Dynamic Bayesian Networks using Extended Mixed-Integer Programming Formulations	❌	❌	❌	❌	❌	✅	❌	1
Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks	❌	❌	❌	❌	❌	✅	✅	2
Expert Routing with Synthetic Data for Domain Incremental Learning	✅	❌	✅	✅	✅	✅	✅	6
Explaining Bayesian Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Explaining Caption-Image Interactions in CLIP Models with Second-Order Attributions	✅	✅	✅	✅	✅	❌	✅	6
Explaining Confident Black-Box Predictions	✅	❌	✅	✅	❌	❌	✅	4
Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors	❌	❌	✅	❌	❌	❌	✅	2
Explaining Node Embeddings	❌	✅	✅	✅	❌	❌	✅	4
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning	❌	❌	✅	✅	❌	❌	✅	3
Explanation Shift: How Did the Distribution Shift Impact the Model?	❌	✅	✅	✅	✅	✅	✅	6
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Explicitly Disentangled Representations in Object-Centric Learning	❌	✅	✅	✅	❌	❌	✅	4
Exploiting Benford's Law for Weight Regularization of Deep Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
Exploring End-to-end Differentiable Neural Charged Particle Tracking – A Loss Landscape Perspective	❌	❌	✅	✅	✅	✅	✅	5
Exploring Weak-to-Strong Generalization for CLIP-based Classification	✅	❌	✅	✅	✅	❌	✅	5
Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective	✅	❌	✅	✅	❌	❌	✅	4
Exploring exploration with foundation agents in interactive environments	❌	❌	✅	❌	❌	❌	✅	2
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis	❌	❌	✅	❌	❌	❌	✅	2
Exploring the potential of Direct Feedback Alignment for Continual Learning	❌	❌	✅	✅	❌	❌	✅	3
Exponential Scaling of Factual Inconsistency in Data-to-Text Generation with Fine-Tuned LLMs	❌	✅	✅	✅	✅	❌	✅	5
Exponential tilting of subweibull distributions	❌	❌	❌	❌	❌	❌	❌	0
Expressive Pooling for Graph Neural Networks	❌	✅	✅	❌	✅	❌	✅	4
Expressiveness of Parametrized Distributions over DAGs for Causal Discovery	❌	✅	❌	❌	✅	❌	✅	3
Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review	❌	✅	✅	❌	❌	❌	✅	3
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study	✅	✅	✅	✅	❌	❌	✅	5
FB-MOAC: A Reinforcement Learning Algorithm for Forward-Backward Markov Decision Processes	✅	✅	❌	❌	❌	❌	✅	3
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback	✅	✅	✅	✅	✅	✅	✅	7
FORTRESS: Fast, Tuning-Free Retrieval Ensemble for Scalable LLM Safety	✅	❌	✅	✅	✅	✅	✅	6
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting	✅	✅	✅	❌	✅	❌	✅	5
FaAlGrad: Fairness through Alignment of Gradients across Different Subpopulations	❌	❌	✅	✅	✅	✅	✅	5
Factor Learning Portfolio Optimization Informed by Continuous-Time Finance Models	✅	❌	✅	✅	✅	❌	✅	5
Fair Online Influence Maximization	✅	✅	✅	❌	✅	❌	✅	5
Fair principal component analysis (PCA): minorization-maximization algorithms for Fair PCA, Fair Robust PCA and Fair Sparse PCA	✅	❌	✅	❌	❌	❌	✅	3
Fairness Through Matching	✅	✅	✅	✅	✅	❌	✅	6
Fairness and Disentanglement: A Critical Review of Predominant Bias in Neural Networks	❌	❌	✅	✅	❌	❌	✅	3
Fairness with respect to Stereotype Predictors: Impossibilities and Best Practices	✅	✅	✅	❌	❌	❌	❌	3
Fairness-Aware Dense Subgraph Discovery	✅	✅	✅	❌	✅	✅	✅	6
Faithful Interpretation for Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits	✅	❌	✅	❌	✅	❌	✅	4
Faster Diffusion Through Temporal Attention Decomposition	❌	✅	✅	✅	✅	✅	✅	6
FeatInv: Spatially resolved mapping from feature space to input space using conditional diffusion models	✅	✅	✅	✅	✅	❌	✅	6
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models	✅	❌	✅	❌	✅	✅	✅	5
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning	✅	✅	✅	❌	✅	❌	✅	5
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs	❌	✅	✅	✅	✅	✅	✅	6
Federated Generalized Novel Category Discovery with Prompts Tuning	❌	❌	✅	✅	✅	✅	✅	5
Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation	✅	✅	✅	✅	❌	❌	✅	5
Federated Learning with Efficient Local Adaptation for Realized Volatility Prediction	✅	❌	✅	✅	✅	❌	✅	5
Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization	✅	❌	✅	✅	❌	❌	✅	4
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs	✅	✅	✅	✅	✅	❌	✅	6
Finetuning CLIP to Reason about Pairwise Differences	❌	✅	✅	❌	✅	✅	✅	5
FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness	✅	✅	❌	❌	❌	❌	❌	2
Flexible Infinite-Width Graph Convolutional Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Flow map matching with stochastic interpolants: A mathematical framework for consistency models	✅	❌	✅	❌	❌	❌	✅	3
Flow-Attentional Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
FlowBench: Benchmarking Optical Flow Estimation Methods for Reliability and Generalization	❌	✅	✅	✅	✅	❌	✅	5
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman-Kac Formula	✅	✅	❌	❌	✅	❌	✅	4
FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection	✅	✅	✅	✅	✅	❌	✅	6
FoldDiff: Folding in Point Cloud Diffusion	✅	✅	✅	✅	❌	❌	✅	5
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks	❌	✅	✅	✅	❌	❌	✅	4
Forecasting Company Fundamentals	❌	✅	❌	✅	❌	❌	✅	3
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure	✅	❌	✅	❌	✅	❌	✅	4
Formulating Node Labelling as Node Classification or Link Prediction in Different Graph Representations	❌	✅	✅	✅	✅	❌	✅	5
Foundation Models Meet Federated Learning: A One-shot Feature-sharing Method with Privacy and Performance Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Fourier Learning Machines: Nonharmonic Fourier-Based Neural Networks for Scientific Machine Learning	❌	❌	✅	✅	❌	❌	✅	3
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases	✅	✅	❌	✅	✅	✅	✅	6
FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction	✅	✅	✅	✅	✅	✅	❌	6
Fractal Generative Models	❌	✅	✅	✅	✅	❌	✅	5
FragFormer: A Fragment-based Representation Learning Framework for Molecular Property Prediction	❌	✅	✅	✅	✅	❌	✅	5
Frame-wise Conditioning Adaptation for Fine-Tuning Diffusion Models in Text-to-Video Prediction	❌	✅	✅	✅	✅	❌	✅	5
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
From Promise to Practice: A Study of Common Pitfalls Behind the Generalization Gap in Machine Learning	❌	✅	✅	✅	❌	✅	✅	5
From Reasoning to Learning: A Survey on Hypothesis Discovery and Rule Learning with Large Language Models	❌	❌	❌	❌	❌	❌	❌	0
From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Full-Rank Unsupervised Node Embeddings for Directed Graphs via Message Aggregation	✅	✅	✅	✅	✅	❌	✅	6
Fully Automatic Neural Network Reduction for Formal Verification	✅	❌	✅	❌	✅	❌	✅	4
FusionProt: Fusing Sequence and Structural Information for Unified Protein Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Future-aware Safe Active Learning of Time Varying Systems using Gaussian Processes	✅	❌	✅	✅	✅	❌	✅	5
G-RepsNet: A Lightweight Construction of Equivariant Networks for Arbitrary Matrix Groups	❌	❌	✅	✅	✅	❌	✅	4
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving	✅	✅	✅	✅	✅	❌	✅	6
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models	✅	✅	✅	✅	✅	❌	✅	6
GMAgent: A Graph-oriented Multi-agent Collaboration Framework for Text-attributed Graph Analysis	❌	✅	✅	✅	✅	❌	✅	5
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
GROOD: GRadient-Aware Out-of-Distribution Detection	✅	✅	✅	✅	❌	❌	✅	5
Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations	❌	✅	✅	✅	✅	❌	✅	5
Gaussian Pre-Activations in Neural Networks: Myth or Reality?	❌	✅	✅	✅	❌	❌	✅	4
Gaussian Processes with Bayesian Inference of Covariate Couplings	❌	✅	✅	✅	❌	❌	✅	4
Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors	✅	✅	✅	✅	✅	✅	✅	7
Gaussian mixture layers for neural networks	❌	✅	✅	✅	✅	❌	✅	5
GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation	✅	❌	✅	✅	❌	❌	✅	4
GeNIe: Generative Hard Negative Images Through Diffusion	✅	✅	✅	✅	✅	❌	✅	6
GenCAD: Image-Conditioned Computer-Aided Design Generation with Transformer-Based Contrastive Representation and Diffusion Priors	❌	❌	✅	✅	✅	❌	✅	4
GenOL: Generating Diverse Examples for Name-only Online Learning	✅	✅	✅	✅	✅	❌	✅	6
Generalizable Representation Learning for fMRI-based Neurological Disorder Identification	❌	❌	✅	✅	✅	❌	✅	4
Generalizable Spectral Embedding with an Application to UMAP	✅	✅	✅	✅	✅	❌	✅	6
Generalizable and Robust Spectral Method for Multi-view Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models	✅	✅	✅	✅	✅	❌	✅	6
Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation	✅	✅	✅	❌	❌	❌	✅	4
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey	❌	✅	✅	✅	❌	❌	✅	4
Generalized Prediction Set with Bandit Feedback	✅	❌	✅	❌	✅	✅	✅	5
Generalized Smooth Stochastic Variational Inequalities: Almost Sure Convergence and Convergence Rates	❌	❌	❌	❌	❌	❌	✅	1
Generalized Tangent Kernel: A Unified Geometric Foundation for Natural Gradient and Standard Gradient	✅	✅	✅	✅	✅	❌	✅	6
Generating Symbolic World Models via Test-time Scaling of Large Language Models	❌	❌	✅	❌	❌	❌	✅	2
Generative Feature Training of Thin 2-Layer Networks	✅	✅	✅	✅	✅	❌	✅	6
Generative Proto-Sequence: Sequence-Level Decision Making for Long-Horizon Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs	❌	✅	✅	✅	✅	✅	✅	6
Genetic-Evolutionary Graph Neural Networks: A Paradigm for Improved Graph Representation Learning	✅	❌	✅	✅	❌	❌	✅	4
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D	❌	✅	✅	✅	❌	❌	❌	3
Geometric Optimal Transport for Unsupervised Domain Adaptation	✅	✅	✅	✅	✅	❌	✅	6
Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices	❌	✅	✅	❌	✅	✅	✅	5
Getting aligned on representational alignment	❌	❌	✅	❌	❌	❌	❌	1
Global Convergence Rate of Deep Equilibrium Models with General Activations	✅	❌	✅	❌	❌	❌	❌	2
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach	❌	✅	✅	✅	❌	✅	✅	5
Global Optimization Algorithm through High-Resolution Sampling	✅	✅	✅	❌	❌	✅	✅	5
Global Safe Sequential Learning via Efficient Knowledge Transfer	✅	✅	✅	✅	❌	❌	✅	5
Goal Recognition Design for General Behavioral Agents using Machine Learning	❌	❌	❌	✅	✅	❌	✅	3
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity	✅	❌	✅	❌	❌	❌	✅	3
Gradient GA: Gradient Genetic Algorithm For Drug Molecular Design	✅	✅	✅	❌	❌	❌	✅	4
Gradient Inversion Attack on Graph Neural Networks	✅	❌	✅	❌	❌	❌	✅	3
Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics	❌	✅	✅	✅	✅	❌	✅	5
Graph Personalized Federated Learning via Client Network Learning	✅	✅	✅	✅	❌	❌	✅	5
Graph Theory-Based Deep Graph Similarity Learning: A Unified Survey of Pipeline, Techniques, and Challenges	❌	❌	✅	❌	❌	❌	❌	1
Graph-based Confidence Calibration for Large Language Models	❌	❌	✅	❌	✅	❌	✅	3
Graph-level Representation Learning with Joint-Embedding Predictive Architectures	❌	✅	✅	✅	✅	❌	✅	5
GraphFM: A generalist graph transformer that learns transferable representations across diverse domains	✅	✅	✅	✅	✅	✅	✅	7
Group Fair Federated Learning via Stochastic Kernel Regularization	✅	✅	✅	✅	❌	❌	✅	5
Group-robust Machine Unlearning	✅	✅	✅	❌	✅	❌	✅	5
Guided Discrete Diffusion for Electronic Health Record Generation	❌	❌	✅	✅	✅	❌	✅	4
HARE: Human-in-the-Loop Algorithmic Recourse	✅	✅	✅	❌	❌	❌	✅	4
HDCS: Hierarchy Discovery and Critic Shaping for Reinforcement Learning with Automaton Specification	✅	✅	❌	❌	❌	❌	✅	3
HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection	❌	❌	✅	❌	✅	❌	✅	3
Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy	✅	❌	✅	✅	✅	❌	✅	5
HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction	❌	✅	✅	✅	✅	❌	✅	5
Hard Work Does Not Always Pay Off: On the Robustness of NAS to Data Poisoning	✅	❌	✅	❌	✅	❌	✅	4
Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning	❌	❌	✅	✅	✅	❌	✅	4
Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse	✅	✅	✅	❌	✅	❌	✅	5
Harmonic Loss Trains Interpretable AI Models	❌	❌	✅	❌	✅	❌	✅	3
Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations	✅	✅	✅	❌	✅	❌	✅	5
Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Heterogeneous Knowledge for Augmented Modular Reinforcement Learning	✅	✅	✅	❌	❌	❌	❌	3
Heterophily-informed Message Passing	❌	✅	✅	✅	✅	❌	✅	5
Hierarchical Language Model Design For Interpretable Graph Reasoning	❌	❌	✅	✅	✅	❌	✅	4
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation	✅	❌	✅	✅	✅	❌	✅	5
Higher Order Transformers With Kronecker-Structured Attention	❌	✅	✅	✅	✅	❌	✅	5
Highway Graph to Accelerate Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review	✅	❌	❌	❌	❌	❌	❌	1
HoSNNs: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds	❌	❌	✅	❌	✅	❌	✅	3
Hodge-Aware Convolutional Learning on Simplicial Complexes	❌	✅	✅	✅	✅	✅	✅	6
HopCast: Calibration of Autoregressive Dynamics Models	✅	❌	✅	✅	✅	❌	✅	5
How Can Knowledge of a Task’s Modular Structure Improve Generalization and Training Efficiency?	❌	✅	✅	✅	❌	❌	✅	4
How Does Code Pretraining Affect Language Model Task Performance?	❌	❌	✅	✅	✅	❌	✅	4
How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models	✅	✅	✅	✅	✅	❌	✅	6
How does overparametrization affect performance on minority groups?	❌	✅	✅	✅	❌	❌	✅	4
How far away are truly hyperparameter-free learning algorithms?	✅	❌	✅	✅	✅	❌	✅	5
How iteration composition influences convergence and stability in deep learning	❌	❌	✅	❌	❌	❌	✅	2
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning	✅	✅	✅	❌	❌	❌	✅	4
How to Upscale Neural Networks with Scaling Law?	❌	❌	❌	❌	❌	❌	❌	0
HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability	❌	✅	❌	❌	✅	✅	✅	4
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model	❌	❌	✅	✅	✅	❌	✅	4
HyperMagNet: A Magnetic Laplacian based Hypergraph Neural Network	❌	❌	✅	✅	❌	❌	✅	3
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space	✅	❌	✅	✅	✅	❌	✅	5
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design	❌	❌	✅	✅	❌	❌	✅	3
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality	✅	❌	✅	✅	✅	❌	❌	4
Hyperparameters in Continual Learning: A Reality Check	✅	❌	✅	✅	❌	✅	✅	5
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy	❌	✅	✅	❌	❌	❌	✅	3
IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Identification of Average Outcome under Interventions in Confounded Additive Noise Models	✅	✅	✅	❌	❌	❌	❌	3
Identifying Axiomatic Mathematical Transformation Steps using Tree-Structured Pointer Networks	❌	✅	✅	✅	❌	❌	✅	4
Identifying Macro Causal Effects in a C-DMG over ADMGs	❌	❌	❌	❌	❌	❌	❌	0
Identifying Spurious Correlations using Counterfactual Alignment	❌	✅	✅	✅	✅	❌	✅	5
Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning	❌	✅	✅	❌	❌	❌	✅	3
Illustrated Landmark Graphs for Long-horizon Policy Learning	✅	✅	✅	✅	❌	❌	✅	5
Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset Generalization	❌	✅	✅	✅	✅	✅	✅	6
Implicit Bias and Fast Convergence Rates for Self-attention	❌	❌	✅	❌	✅	❌	✅	3
Importance Weighting for Aligning Language Models under Deployment Distribution Shift	✅	❌	✅	✅	❌	❌	✅	4
Improved Localized Machine Unlearning Through the Lens of Memorization	✅	✅	✅	✅	❌	❌	✅	5
Improved seeding strategies for k-means and k-GMM	✅	✅	✅	❌	✅	❌	✅	5
Improving Adversarial Training for Two-player Competitive Games via Episodic Reward Engineering	✅	✅	✅	❌	✅	❌	✅	5
Improving CLIP Counting Accuracy via Parameter-Efficient Fine-Tuning	❌	✅	✅	✅	❌	❌	✅	4
Improving Consistency in Large Language Models through Chain of Guidance	✅	✅	✅	✅	✅	❌	✅	6
Improving GFlowNets for Text-to-Image Diffusion Alignment	✅	✅	✅	❌	✅	❌	✅	5
Improving Single-round Active Adaptation: A Prediction Variability Perspective	✅	❌	✅	❌	❌	❌	✅	3
In-context Learning for Mixture of Linear Regression: Existence, Generalization and Training Dynamics	✅	❌	❌	❌	❌	❌	✅	2
In-distribution adversarial attacks on object recognition models using gradient-free search.	✅	✅	✅	✅	✅	❌	✅	6
Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift	❌	❌	✅	✅	❌	❌	✅	3
Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations	✅	❌	✅	❌	❌	❌	✅	3
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent	✅	✅	✅	❌	✅	✅	✅	6
IndicFake Meets SAFARI-LLM: Unifying Semantic and Acoustic Intelligence for Multilingual Deepfake Detection	❌	❌	✅	✅	❌	❌	✅	3
Influence Learning in Complex Systems	❌	❌	✅	✅	❌	❌	✅	3
Influential Bandits: Pulling an Arm May Change the Environment	✅	❌	✅	✅	❌	❌	✅	4
Information Theoretic Guarantees For Policy Alignment In Large Language Models	❌	❌	✅	❌	❌	❌	✅	2
Infrastructure for AI Agents	❌	❌	❌	❌	❌	❌	❌	0
Inherently Robust Control through Maximum-Entropy Learning-Based Rollout	✅	❌	✅	❌	✅	❌	✅	4
Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning	❌	❌	✅	✅	✅	❌	✅	4
InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write	❌	✅	✅	✅	✅	❌	✅	5
Instance-Aware Graph Prompt Learning	❌	✅	✅	✅	✅	❌	✅	5
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach	✅	✅	✅	❌	❌	✅	✅	5
Interactive Large Language Models for Reliable Answering under Incomplete Context	✅	❌	✅	❌	✅	❌	✅	4
Interactive Task Planning with Language Models	❌	❌	✅	❌	❌	❌	❌	1
Interpretable LLM-based Table Question Answering	❌	✅	✅	✅	❌	❌	✅	4
Interpreting Neurons in Deep Vision Networks with Language Models	✅	✅	✅	✅	✅	❌	✅	6
Inverse Scaling in Test-Time Compute	❌	✅	✅	✅	✅	❌	✅	5
Inverting Gradient Attacks Makes Powerful Data Poisoning	❌	✅	✅	❌	❌	❌	✅	3
Investigating Continual Pretraining in Large Language Models: Insights and Implications	❌	❌	✅	✅	✅	❌	✅	4
Investigating Generalization Behaviours of Generative Flow Networks	❌	✅	✅	✅	✅	❌	✅	5
Investigating the Effects of Fairness Interventions Using Pointwise Representational Similarity	❌	❌	✅	❌	❌	❌	❌	1
Investigating the impact of missing value handling on Boosted trees and Deep learning for Tabular data: A Claim Reserving case study	❌	✅	✅	✅	✅	❌	✅	5
Is What You Ask For What You Get? Investigating Concept Associations in Text-to-Image Models	❌	✅	✅	✅	❌	❌	✅	4
Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents	✅	✅	✅	✅	✅	❌	✅	6
Is isotropy a good proxy for generalization in time series forecasting with transformers?	✅	✅	✅	❌	❌	❌	✅	4
Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Jet: A Modern Transformer-Based Normalizing Flow	❌	✅	✅	❌	✅	❌	✅	4
Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles	❌	✅	✅	✅	✅	❌	✅	5
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition	❌	❌	✅	✅	✅	✅	✅	5
Joint Diffusion for Universal Hand-Object Grasp Generation	❌	❌	✅	✅	❌	❌	✅	3
Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models	✅	✅	✅	✅	❌	❌	✅	5
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning	❌	✅	✅	✅	❌	❌	✅	4
Keep your distance: learning dispersed embeddings on $\mathbb{S}_{m}$	❌	✅	✅	✅	✅	✅	✅	6
Kernel Space Conditional Distribution Alignment for Improving Group Fairness in Deepfake Detection	❌	✅	✅	❌	✅	❌	✅	4
Knockout: A simple way to handle missing inputs	❌	❌	✅	✅	❌	❌	✅	3
Know Yourself and Know Your Neighbour : A Syntactically Informed Self-Supervised Compositional Sentence Representation Learning Framework using a Recursive Hypernetwork	❌	✅	✅	❌	✅	❌	✅	4
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning	✅	✅	✅	✅	✅	✅	✅	7
L2G: Repurposing Language Models for Genomics Tasks	✅	✅	✅	✅	✅	❌	✅	6
LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning	✅	❌	❌	✅	✅	✅	✅	5
LASE: Learned Adjacency Spectral Embeddings	✅	✅	✅	✅	✅	❌	✅	6
LASP: Linear Attention Sequence Parallelism	✅	✅	✅	❌	✅	✅	✅	6
LBMamba: Locally Bi-directional Mamba	❌	✅	✅	✅	✅	❌	✅	5
LC-PLM: Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers	✅	✅	✅	✅	✅	✅	✅	7
LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm	✅	❌	✅	✅	✅	❌	✅	5
LEGO-Learn: Label-Efficient Graph Open-Set Learning	✅	✅	✅	✅	❌	❌	✅	5
LIT-LVM: Structured Regularization for Interaction Terms in Linear Predictors using Latent Variable Models	❌	✅	✅	✅	❌	❌	✅	4
LLM-Guided Self-Supervised Tabular Learning With Task-Specific Pre-text Tasks	✅	✅	✅	❌	✅	❌	✅	5
LLM-Select: Feature Selection with Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling	✅	✅	✅	✅	✅	❌	✅	6
LLMs can learn self-restraint through iterative self-reflection	✅	❌	✅	✅	❌	❌	✅	4
LLaVA-OneVision: Easy Visual Task Transfer	❌	✅	✅	✅	❌	❌	✅	4
LLaVA-Video: Video Instruction Tuning With Synthetic Data	❌	✅	✅	✅	✅	❌	✅	5
LO-BCQ: Locally Optimal Block Clustered Quantization for 4-bit (W4A4) LLM Inference	✅	❌	✅	❌	❌	❌	✅	3
LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators	✅	✅	✅	✅	✅	✅	✅	7
LTL-Constrained Policy Optimization with Cycle Experience Replay	✅	❌	✅	❌	✅	❌	✅	4
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation	✅	❌	✅	✅	✅	❌	✅	5
Label Embedding via Low-Coherence Matrices	✅	❌	✅	✅	✅	❌	✅	5
Label Smoothing is a Pragmatic Information Bottleneck	❌	❌	✅	✅	❌	❌	✅	3
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution	✅	❌	✅	✅	✅	❌	✅	5
LanPaint: Training-Free Diffusion Inpainting with Asymptotically Exact and Fast Conditional Sampling	✅	✅	✅	✅	✅	❌	✅	6
Language Models Are Good Tabular Learners	❌	✅	✅	✅	✅	❌	✅	5
Language Models for Controllable DNA Sequence Design	❌	✅	✅	✅	✅	❌	✅	5
Language-assisted Feature Representation and Lightweight Active Learning For On-the-Fly Category Discovery	✅	❌	✅	✅	✅	❌	✅	5
Large Action Models: From Inception to Implementation	❌	✅	❌	✅	✅	✅	❌	4
Large Language Model Confidence Estimation via Black-Box Access	✅	❌	✅	✅	✅	❌	✅	5
Large Language Model-Brained GUI Agents: A Survey	❌	❌	❌	❌	❌	❌	❌	0
Large-Scale Targeted Cause Discovery via Learning from Simulated Data	✅	✅	✅	✅	✅	❌	✅	6
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs	❌	✅	✅	✅	✅	✅	✅	6
Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation	❌	✅	✅	✅	❌	❌	✅	4
Latent Space Energy-based Neural ODEs	✅	❌	✅	✅	✅	❌	✅	5
Latent Trajectory: A New Framework for Deep Actor-Critic Reinforcement Learning with Uncertainty Quantification	✅	❌	✅	❌	❌	❌	✅	3
Latent mixed-effect models for high-dimensional longitudinal data	❌	❌	✅	✅	❌	❌	✅	3
Latte: Latent Diffusion Transformer for Video Generation	❌	❌	✅	❌	✅	✅	✅	4
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction	❌	✅	✅	✅	❌	❌	✅	4
Learned-Database Systems Security	❌	❌	✅	✅	✅	❌	✅	4
Learning Actionable Counterfactual Explanations in Large State Spaces	✅	✅	✅	✅	✅	❌	✅	6
Learning Deformable Body Interactions With Adaptive Spatial Tokenization	✅	❌	✅	✅	✅	❌	✅	5
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching	✅	✅	✅	✅	❌	❌	✅	5
Learning Equivalence Classes of Bayesian Network Structures with GFlowNet	❌	❌	✅	❌	✅	❌	✅	3
Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs	✅	❌	✅	✅	❌	❌	✅	4
Learning Is a Kan Extension	❌	❌	❌	❌	❌	❌	❌	0
Learning Linear Polytree Structural Equation Model	✅	✅	✅	✅	✅	❌	✅	6
Learning Reward Machines from Partially Observed Policies	✅	✅	✅	✅	❌	❌	✅	5
Learning Robust Representations for Visual Reinforcement Learning via Task-Relevant Mask Sampling	✅	❌	✅	✅	❌	❌	✅	4
Learning Task-Aware Abstract Representations for Meta-Reinforcement Learning	✅	✅	✅	✅	✅	✅	✅	7
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing	✅	✅	✅	✅	✅	✅	✅	7
Learning Using a Single Forward Pass	✅	❌	✅	✅	✅	❌	✅	5
Learning distributed representations with efficient SoftMax normalization	✅	✅	✅	✅	✅	❌	✅	6
Learning few-step posterior samplers by unfolding and distillation of diffusion models	✅	✅	✅	✅	❌	❌	✅	5
Learning in complex action spaces without policy gradients	✅	✅	✅	❌	❌	❌	✅	4
Learning the Language of Protein Structure	✅	✅	✅	✅	✅	❌	✅	6
Learning to Be Cautious	✅	✅	✅	✅	✅	❌	✅	6
Learning to Prompt Your Domain for Federated Vision-Language Models	❌	❌	✅	✅	❌	❌	✅	3
Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification	✅	✅	✅	✅	✅	❌	✅	6
Learning to Rank with Top-$K$ Fairness	✅	✅	✅	✅	✅	❌	✅	6
Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints	❌	❌	❌	❌	❌	❌	❌	0
Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks	❌	✅	✅	❌	✅	❌	✅	4
Let Your Light Shine: Foreground Portrait Matting via Deep Flash Priors	❌	✅	✅	✅	✅	❌	✅	5
Leveraging AutoML for Sustainable Deep Learning: A Multi- Objective HPO Approach on Deep Shift Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning	❌	❌	✅	❌	❌	❌	✅	2
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift	✅	✅	✅	❌	❌	❌	✅	4
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning	✅	✅	✅	❌	❌	❌	❌	3
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE	✅	✅	✅	✅	❌	❌	✅	5
Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations	❌	✅	✅	✅	❌	❌	✅	4
Lifelong Learning in StyleGAN through Latent Subspaces	✅	✅	✅	❌	❌	❌	❌	3
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation	✅	❌	✅	❌	✅	❌	✅	4
Linear Convergence of Decentralized FedAvg for PL Objectives: The Interpolation Regime	✅	❌	✅	✅	✅	❌	✅	5
Link Prediction with Relational Hypergraphs	❌	✅	✅	✅	✅	❌	✅	5
LitLLMs, LLMs for Literature Review: Are we there yet?	✅	✅	✅	❌	❌	❌	✅	4
Local Differential Privacy-Preserving Spectral Clustering for General Graphs	✅	❌	✅	✅	❌	❌	✅	4
Local Distribution-Based Adaptive Oversampling for Imbalanced Regression	✅	✅	✅	✅	❌	❌	✅	5
LocalFormer: Mitigating Over-Globalising in Transformers on Graphs with Localised Training	❌	❌	✅	✅	❌	❌	✅	3
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic	✅	✅	✅	✅	✅	❌	✅	6
Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices	✅	❌	✅	❌	✅	❌	✅	4
Long Context Transfer from Language to Vision	❌	❌	✅	❌	✅	❌	✅	3
Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series	❌	❌	✅	✅	✅	❌	✅	4
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges	❌	❌	❌	❌	❌	❌	❌	0
Long-context LLMs Struggle with Long In-context Learning	❌	✅	✅	✅	✅	❌	✅	5
Loss Landscape Degeneracy and Stagewise Development in Transformers	❌	✅	✅	✅	✅	❌	✅	5
Loss-to-Loss Prediction: Scaling Laws for All Datasets	❌	✅	✅	❌	❌	❌	✅	3
Low Compute Unlearning via Sparse Representations	✅	❌	✅	✅	✅	❌	✅	5
Low-rank Momentum Factorization for Memory Efficient Training	✅	✅	✅	✅	✅	❌	✅	6
Lower Ricci Curvature for Efficient Community Detection	✅	✅	✅	❌	❌	❌	✅	4
LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration	❌	❌	✅	✅	✅	❌	✅	4
Lurie Networks with Robust Convergent Dynamics	❌	✅	✅	✅	✅	❌	✅	5
M3CoL: Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification	❌	✅	✅	✅	✅	❌	✅	5
M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations	✅	❌	✅	✅	✅	❌	✅	5
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment	✅	❌	✅	❌	✅	❌	✅	4
MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training	✅	✅	✅	✅	✅	✅	✅	7
MDTree: A Masked Dynamic Autoregressive Model for Phylogenetic Inference	❌	❌	✅	❌	❌	❌	❌	1
MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment	❌	❌	✅	✅	✅	✅	✅	5
MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification	❌	✅	✅	✅	✅	❌	✅	5
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks	✅	✅	✅	✅	✅	❌	✅	6
MMD Two-sample Testing in the Presence of Arbitrarily Missing Data	❌	❌	✅	❌	✅	❌	✅	3
MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions	✅	✅	✅	✅	✅	✅	✅	7
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
MUC: Machine Unlearning for Contrastive Learning with Black-box Evaluation	❌	✅	✅	✅	✅	❌	✅	5
Machine Learning with Physics Knowledge for Prediction: A Survey	✅	❌	❌	❌	❌	❌	❌	1
MagicPose4D: Crafting Articulated Models with Appearance and Motion Control	❌	❌	✅	❌	✅	❌	✅	3
Making Reliable and Flexible Decisions in Long-tailed Classification	✅	✅	✅	✅	✅	❌	✅	6
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling	✅	❌	✅	✅	✅	❌	✅	5
Mamba State-Space Models Are Lyapunov-Stable Learners	❌	❌	✅	❌	✅	✅	✅	4
MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale	❌	❌	✅	❌	✅	❌	✅	3
MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation	❌	✅	✅	✅	❌	❌	✅	4
Masked Capsule Autoencoders	❌	❌	✅	✅	❌	❌	✅	3
Mastering SAM Prompts: A Large-Scale Empirical Study in Segmentation Refinement for Scientific Imaging	✅	✅	✅	❌	❌	❌	✅	4
Mathematical Characterization of Better-than-Random Multiclass Models	❌	❌	❌	❌	❌	❌	❌	0
MaxCutBench: Revisiting and Benchmarking Graph Neural Networks for Maximum Cut	✅	✅	✅	✅	✅	✅	✅	7
Maximally Expressive GNNs for Outerplanar Graphs	✅	✅	✅	✅	✅	❌	✅	6
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning	✅	❌	✅	✅	✅	❌	✅	5
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection	✅	✅	✅	❌	✅	❌	✅	5
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons	✅	✅	✅	✅	✅	❌	✅	6
Mean-Field RL for Large-Scale Unit-Capacity Pickup-and-Delivery Problems	✅	✅	❌	❌	✅	❌	✅	4
Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents	❌	❌	✅	❌	❌	❌	❌	1
Melody or Machine: Detecting Synthetic Music with Dual-Stream Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory	✅	✅	✅	✅	❌	❌	✅	5
MemeSense: An Adaptive In-Context Framework for Social Commonsense Driven Meme Moderation	❌	✅	✅	✅	❌	❌	✅	4
Memory-Modular Classification: Learning to Generalize with Memory Replacement	❌	❌	✅	✅	✅	❌	✅	4
Mental Modelling of Reinforcement Learning Agents by Language Models	✅	❌	❌	❌	❌	❌	✅	2
Mesh-Informed Neural Operator : A Transformer Generative Approach	❌	✅	✅	✅	✅	❌	✅	5
Meta-Learning Adaptive Loss Functions	✅	✅	✅	✅	✅	❌	✅	6
Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions	✅	❌	✅	✅	✅	✅	✅	6
Meta-Learning to Teach Semantic Prompts for Open Domain Generalization in Vision-Language Models	✅	❌	✅	✅	❌	❌	✅	4
Meta-learning Optimizers for Communication-Efficient Learning	✅	❌	✅	❌	✅	❌	✅	4
Meta-learning Population-based Methods for Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
MetaGFN: Exploring Distant Modes with Adapted Metadynamics for Continuous GFlowNets	✅	✅	❌	❌	✅	❌	✅	4
Metalearning Continual Learning Algorithms	❌	✅	✅	✅	✅	❌	✅	5
Metamorphic Forward Adaptation Network: Dynamically Adaptive and Modular Multi-layer Learning	✅	❌	✅	✅	❌	❌	✅	4
Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm	✅	❌	✅	✅	❌	❌	✅	4
Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models	❌	✅	✅	✅	❌	❌	✅	4
MiniFold: Simple, Fast, and Accurate Protein Structure Prediction	✅	✅	✅	✅	✅	❌	✅	6
Minimax Lower Bounds for Estimating Distributions on Low-dimensional Spaces	❌	❌	❌	❌	❌	❌	❌	0
Minimax Multi-Target Conformal Prediction with Applications to Imaging Inverse Problems	✅	❌	✅	✅	❌	❌	✅	4
Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on $[0,1]^d$ under Wasserstein Distance	❌	❌	❌	❌	❌	❌	❌	0
Mirror Descent Policy Optimisation for Robust Constrained Markov Decision Processes	✅	✅	✅	❌	❌	❌	✅	4
Mixed Sparsity Training: Achieving 4$\times$ FLOP Reduction for Transformer Pretraining	✅	✅	✅	✅	✅	✅	✅	7
Mixed-View Panorama Synthesis using Geospatially Guided Diffusion	❌	❌	✅	✅	❌	✅	✅	4
Mixture Degree-Corrected Stochastic Block Model for Multi-Group Community Detection in Multiplex Graphs	✅	❌	✅	❌	❌	❌	❌	2
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition	✅	✅	✅	✅	❌	❌	✅	5
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference	✅	❌	✅	❌	✅	❌	✅	4
Mixture of Experts for Image Classification: What's the Sweet Spot?	❌	❌	✅	✅	✅	❌	✅	4
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models	✅	❌	✅	✅	✅	❌	✅	5
MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning	✅	✅	✅	✅	✅	❌	✅	6
MoReact: Generating Reactive Motion from Textual Descriptions	❌	❌	✅	✅	✅	❌	✅	4
MobileCLIP2: Improving Multi-Modal Reinforced Training	❌	✅	✅	✅	✅	❌	✅	5
Model Guidance via Robust Feature Attribution	❌	✅	✅	✅	❌	❌	❌	3
Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities	❌	✅	✅	✅	❌	❌	✅	4
Model Tensor Planning	✅	❌	✅	❌	✅	❌	✅	4
Model-free reinforcement learning with noisy actions for automated experimental control in optics	❌	✅	❌	❌	✅	✅	✅	4
Modeling Human Beliefs about AI Behavior for Scalable Oversight	❌	❌	❌	❌	❌	❌	❌	0
ModernTCN Revisited: A Critical Look at the Experimental Setup in General Time Series Analysis	❌	✅	✅	✅	❌	❌	✅	4
Modularity aided consistent attributed graph clustering via coarsening	✅	✅	✅	❌	✅	✅	✅	6
Monocular Dynamic Gaussian Splatting: Fast, Brittle, and Scene Complexity Rules	❌	✅	✅	✅	✅	❌	✅	5
Monotone Missing Data: A Blessing and a Curse	❌	❌	❌	❌	❌	❌	❌	0
Multi-Attribute Constraint Satisfaction via Language Model Rewriting	✅	✅	✅	✅	❌	❌	✅	5
Multi-BK-Net: Multi-Branch Multi-Kernel Convolutional Neural Networks for Clinical EEG Analysis	❌	✅	✅	✅	❌	❌	✅	4
Multi-Bellman operator for convergence of $Q$-learning with linear function approximation	✅	❌	✅	❌	❌	❌	✅	3
Multi-Modal Foundation Models for Computational Pathology: A Survey	❌	❌	✅	❌	❌	❌	❌	1
Multi-Output Distributional Fairness via Post-Processing	✅	✅	✅	✅	❌	❌	✅	5
Multi-model Online Conformal Prediction with Graph-Structured Feedback	✅	❌	✅	✅	✅	❌	✅	5
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making	✅	✅	✅	❌	❌	❌	✅	4
Multimodal Cultural Safety: Evaluation Framework and Alignment Strategies	❌	❌	✅	❌	✅	❌	✅	3
Multiplayer Information Asymmetric Contextual Bandits	✅	✅	❌	❌	❌	❌	✅	3
Multivariate Dense Retrieval: A Reproducibility Study under a Memory-limited Setup	❌	✅	✅	✅	✅	❌	✅	5
Music Foundation Model as Generic Booster for Music Downstream Tasks	❌	❌	✅	✅	✅	❌	✅	4
NITO: Neural Implicit Fields for Resolution-free and Domain-Adaptable Topology Optimization	❌	✅	✅	✅	✅	❌	✅	5
Necessary and Sufficient Watermark for Large Language Models	✅	❌	✅	✅	✅	❌	✅	5
NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities	✅	✅	✅	❌	❌	❌	✅	4
NeoBERT: A Next Generation BERT	❌	✅	✅	✅	✅	❌	✅	5
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA	✅	✅	✅	✅	✅	❌	✅	6
Neural Deconstruction Search for Vehicle Routing Problems	✅	✅	✅	✅	✅	✅	✅	7
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach	✅	❌	❌	✅	❌	✅	✅	4
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations	✅	❌	✅	✅	✅	❌	✅	5
Neural Spatiotemporal Point Processes: Trends and Challenges	❌	❌	✅	❌	❌	❌	❌	1
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds	✅	✅	✅	✅	✅	❌	✅	6
Neuron-based explanations of neural networks sacrifice completeness and interpretability	❌	✅	✅	✅	✅	❌	❌	4
No $D_{train}$: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning	✅	❌	✅	✅	✅	❌	✅	5
No Need for Ad-hoc Substitutes: The Expected Cost is a Principled All-purpose Classification Metric	❌	✅	✅	✅	❌	❌	✅	4
Node Classification With Reject Option	❌	❌	✅	✅	❌	❌	✅	3
Node Duplication Improves Cold-start Link Prediction	✅	✅	✅	✅	✅	✅	✅	7
Node Embeddings via Neighbor Embeddings	❌	✅	✅	✅	✅	❌	✅	5
Node Feature Forecasting in Temporal Graphs: an Interpretable Online Algorithm	✅	✅	✅	✅	❌	❌	✅	5
Node-Level Data Valuation on Graphs	❌	✅	✅	✅	✅	❌	✅	5
Noise-free Loss Gradients: A Surprisingly Effective Baseline for Coreset Selection	✅	✅	✅	✅	✅	❌	✅	6
Nomic Embed: Training a Reproducible Long Context Text Embedder	❌	✅	✅	❌	✅	❌	✅	4
Non asymptotic analysis of Adaptive stochastic gradient algorithms and applications	❌	❌	❌	❌	❌	❌	✅	1
Non-Myopic Multi-Objective Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
Normality-Guided Distributional Reinforcement Learning for Continuous Control	✅	✅	✅	❌	❌	❌	✅	4
Numerically Robust Fixed-Point Smoothing Without State Augmentation	✅	✅	✅	❌	❌	❌	✅	4
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting	✅	✅	✅	✅	❌	❌	✅	5
ODNet: Opinion Dynamics-Inspired Neural Message Passing for Graphs and Hypergraphs	❌	❌	✅	✅	✅	✅	✅	5
Oblique Bayesian Additive Regression Trees	❌	✅	✅	✅	❌	✅	✅	5
Occam’s Razor for SSL: Memory-Efficient Parametric Instance Discrimination	✅	❌	✅	✅	✅	❌	✅	5
Offline Learning and Forgetting for Reasoning with Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Offset Unlearning for Large Language Models	❌	❌	✅	❌	✅	❌	✅	3
OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data	❌	❌	✅	✅	❌	❌	✅	3
On Convolutions, Intrinsic Dimension, and Diffusion Models	❌	❌	❌	❌	❌	❌	❌	0
On Efficient Bayesian Exploration in Model-Based Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
On Inherent Adversarial Robustness of Active Vision Systems	❌	✅	✅	✅	❌	❌	✅	4
On Joint Regularization and Calibration in Deep Ensembles	❌	✅	✅	✅	✅	❌	✅	5
On Memorization in Diffusion Models	❌	✅	✅	❌	✅	❌	✅	4
On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks	❌	✅	✅	✅	❌	✅	✅	5
On Space Folds of ReLU Neural Networks	✅	❌	✅	✅	❌	❌	✅	4
On Sparsity and Sub-Gaussianity in the Johnson- Lindenstrauss Lemma	❌	❌	❌	❌	❌	❌	❌	0
On The Landscape of Spoken Language Models: A Comprehensive Survey	❌	❌	❌	❌	❌	❌	❌	0
On Time Series Clustering with Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals	❌	❌	❌	✅	❌	❌	✅	2
On Using Certified Training towards Empirical Robustness	❌	✅	✅	✅	✅	❌	✅	5
On Using Secure Aggregation in Differentially Private Federated Learning with Multiple Local Steps	✅	✅	✅	✅	✅	❌	✅	6
On diffusion posterior sampling via sequential Monte Carlo for zero-shot scaffolding of protein motifs	✅	✅	✅	❌	✅	❌	✅	5
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates	❌	❌	❌	❌	❌	❌	✅	1
On the Challenges and Opportunities in Generative AI	❌	❌	✅	❌	❌	❌	❌	1
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments	✅	❌	❌	❌	❌	❌	✅	2
On the Convergence of SVGD in KL divergence via Approximate gradient flow	❌	✅	✅	✅	❌	❌	✅	4
On the Detection of Reviewer-Author Collusion Rings From Paper Bidding	❌	✅	✅	❌	✅	❌	✅	4
On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective	❌	✅	✅	✅	✅	❌	✅	5
On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"	❌	✅	✅	❌	✅	❌	✅	4
On the Hardness of Computing Counterfactual and Semi-factual Explanations in XAI	❌	❌	❌	❌	❌	❌	❌	0
On the Low-Rank Parametrization of Reward Models for Controlled Language Generation	❌	✅	✅	❌	✅	❌	✅	4
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection	✅	✅	✅	✅	✅	❌	✅	6
On the Properties and Estimation of Pointwise Mutual Information Profiles	❌	✅	❌	✅	❌	❌	✅	3
On the Regularization of Learnable Embeddings for Time Series Forecasting	❌	✅	✅	✅	✅	❌	✅	5
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective	❌	❌	✅	✅	❌	❌	✅	3
On the Role of Discrete Representation in Sparse Mixture of Experts	❌	✅	✅	✅	✅	❌	✅	5
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing	❌	❌	✅	✅	✅	❌	✅	4
On the Utility of Existing Fine-Tuned Models on Data-Scarce Domains	❌	❌	✅	✅	✅	❌	✅	4
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation	❌	✅	✅	✅	✅	❌	✅	5
On the effects of similarity metrics in decentralized deep learning under distribution shift	✅	❌	✅	✅	❌	❌	✅	4
On the stability of gradient descent with second order dynamics for time-varying cost functions	❌	✅	❌	❌	❌	❌	✅	2
One-Shot Federated Distillation Using Monoclass Teachers: A Study of Knowledge Fragmentation and Out-of-Distribution Supervision	❌	❌	✅	✅	❌	❌	✅	3
Online Bandit Nonlinear Control with Dynamic Batch Length and Adaptive Learning Rate	✅	❌	❌	❌	✅	❌	✅	3
Online Control-Informed Learning	✅	❌	❌	❌	✅	❌	✅	3
Online Selective Conformal Inference: Errors and Solutions	✅	❌	❌	❌	❌	❌	✅	2
Open Problems in Mechanistic Interpretability	❌	❌	❌	❌	❌	❌	❌	0
Open Problems in Technical AI Governance	❌	❌	❌	❌	❌	❌	❌	0
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)	❌	✅	❌	❌	❌	❌	❌	1
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction	❌	✅	✅	❌	✅	✅	✅	5
Optimal Transport for Domain Adaptation through Gaussian Mixture Models	✅	✅	✅	✅	❌	❌	❌	4
Optimization Dynamics of Equivariant and Augmented Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Optimization Guarantees for Square-Root Natural-Gradient Variational Inference	✅	❌	✅	✅	✅	❌	✅	5
Optimization and Generalization Guarantees for Weight Normalization	❌	❌	✅	❌	✅	✅	✅	4
Optimizing Cycle Life Prediction of Lithium-ion Batteries via a Physics-Informed Model	❌	✅	✅	✅	❌	❌	✅	4
Optimizing Estimators of Squared Calibration Errors in Classification	✅	✅	✅	✅	✅	❌	✅	6
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach	❌	✅	✅	✅	✅	❌	✅	5
Oscillations Make Neural Networks Robust to Quantization	❌	✅	✅	✅	❌	❌	✅	4
Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations	❌	✅	✅	✅	❌	❌	✅	4
Out-of-Distribution Learning with Human Feedback	✅	✅	✅	✅	✅	✅	✅	7
Outcome-based Reinforcement Learning to Predict the Future	❌	❌	✅	✅	✅	❌	✅	4
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning	❌	✅	✅	✅	❌	❌	✅	4
Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models	✅	✅	✅	✅	✅	❌	✅	6
Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization	✅	✅	✅	❌	✅	❌	✅	5
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation	✅	✅	✅	✅	✅	❌	✅	6
PCF Learned Sort: a Learning Augmented Sort Algorithm with $\mathcal{O}(n \log\log n)$ Expected Complexity	✅	❌	✅	❌	✅	✅	✅	5
PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training	✅	❌	✅	✅	❌	❌	✅	4
PRIMO: Private Regression in Multiple Outcomes	✅	❌	✅	❌	❌	❌	✅	3
PROPS: Progressively Private Self-alignment of Large Language Models	✅	✅	✅	✅	❌	❌	✅	5
PROXI: Challenging the GNNs for Link Prediction	❌	✅	✅	✅	✅	❌	✅	5
PSC: Posterior Sampling-Based Compression	✅	✅	✅	✅	❌	❌	✅	5
Part-aware Prompted Segment Anything Model for Adaptive Segmentation	❌	✅	✅	✅	✅	❌	✅	5
PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization	❌	✅	✅	✅	✅	❌	✅	5
Partial-Label Learning with a Reject Option	✅	✅	✅	❌	✅	❌	✅	5
Partially Frozen Random Networks Contain Compact Strong Lottery Tickets	❌	❌	✅	✅	✅	❌	✅	4
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity	✅	✅	✅	✅	❌	❌	✅	5
Path-Specific Counterfactual Fairness via Dividend Correction	✅	❌	✅	✅	✅	❌	✅	5
Permissive Information-Flow Analysis for Large Language Models	✅	❌	✅	✅	❌	❌	✅	4
Personalization of Large Language Models: A Survey	❌	❌	✅	❌	❌	❌	❌	1
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach	✅	✅	✅	✅	❌	❌	✅	5
Personalized Federated Learning via Low-Rank Matrix Optimization	✅	✅	✅	✅	❌	❌	✅	5
Personalized Layer Selection for Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Personalized Negative Reservoir for Incremental Learning in Recommender Systems	✅	✅	✅	✅	❌	❌	✅	5
Personalized Privacy Amplification via Importance Sampling	✅	✅	✅	❌	✅	❌	✅	5
PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling	❌	✅	✅	✅	✅	❌	✅	5
Phase-driven Generalizable Representation Learning for Nonstationary Time Series Classification	❌	✅	✅	✅	✅	❌	✅	5
Physics of Language Models: Part 1, Learning Hierarchical Language Structures	✅	✅	✅	❌	✅	❌	✅	5
Physics-Aware Spatiotemporal Causal Graph Network for Forecasting with Limited Data	❌	❌	✅	✅	✅	❌	✅	4
Piecewise Constant Spectral Graph Neural Network	✅	✅	✅	✅	✅	❌	✅	6
Pitfalls in Evaluating Inference-time Methods for Improving LLM Reliability	❌	✅	✅	✅	❌	❌	✅	4
PixelWorld: Towards Perceiving Everything as Pixels	❌	✅	✅	✅	✅	❌	✅	5
Policy Optimization via Adv2: Adversarial Learning on Advantage Functions	✅	❌	❌	❌	❌	❌	❌	1
Policy-Guided Search on Tree-of-Thoughts for Efficient Problem Solving with Bounded Language Model Queries	✅	✅	✅	❌	❌	❌	✅	4
Positional Encoder Graph Quantile Neural Networks for Geographic Data	✅	✅	✅	✅	✅	❌	✅	6
Posterior Sampling for Reinforcement Learning on Graphs	✅	❌	❌	❌	❌	❌	❌	1
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance	✅	❌	✅	✅	✅	❌	✅	5
Pre-Training Representations of Binary Code Using Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer	✅	✅	✅	✅	✅	❌	✅	6
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts	❌	✅	✅	✅	❌	✅	✅	5
Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization	✅	✅	✅	❌	❌	❌	❌	3
Predicting sub-population specific viral evolution	❌	✅	✅	✅	✅	❌	✅	5
Predictive Control and Regret Analysis of Non-Stationary MDP with Look-ahead Information	✅	❌	❌	❌	❌	❌	✅	2
Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning	✅	❌	✅	❌	✅	❌	✅	4
Preference Discerning with LLM-Enhanced Generative Retrieval	✅	✅	✅	✅	✅	✅	✅	7
Preferential Multi-Objective Bayesian Optimization	✅	✅	✅	❌	❌	❌	✅	4
Preserving Angles Improves Feature Distillation	✅	✅	✅	✅	✅	❌	✅	6
Preserving Expert-Level Privacy in Offline Reinforcement Learning	✅	❌	✅	❌	❌	✅	✅	4
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions	❌	❌	❌	❌	❌	❌	❌	0
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes	❌	✅	✅	✅	✅	❌	✅	5
Prior Learning in Introspective VAEs	✅	❌	✅	❌	❌	❌	✅	3
Prior Specification for Exposure-based Bayesian Matrix Factorization	❌	❌	✅	❌	❌	❌	✅	2
PrivShap: A Finer-granularity Network Linearization Method for Private Inference	✅	❌	✅	✅	✅	❌	✅	5
Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity	❌	❌	❌	❌	❌	✅	✅	2
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review	❌	❌	❌	❌	❌	❌	❌	0
Privacy-Aware Time Series Synthesis via Public Knowledge Distillation	✅	❌	✅	❌	✅	❌	✅	4
Private Fine-tuning of Large Language Models with Zeroth-order Optimization	✅	❌	✅	✅	✅	❌	✅	5
Private Regression via Data-Dependent Sufficient Statistic Perturbation	✅	✅	✅	✅	✅	❌	✅	6
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD	❌	✅	✅	✅	❌	❌	✅	4
Probabilistic neural operators for functional uncertainty quantification	❌	✅	✅	✅	✅	❌	✅	5
Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A	❌	✅	✅	✅	✅	❌	✅	5
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems	✅	✅	✅	❌	❌	❌	✅	4
Prompt Engineering Techniques for Language Model Reasoning Lack Replicability	❌	✅	✅	✅	❌	✅	✅	5
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts	❌	✅	✅	✅	✅	❌	✅	5
Provable Quantum Algorithm Advantage for Gaussian Process Quadrature	✅	✅	❌	❌	❌	❌	✅	3
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks	✅	✅	✅	✅	❌	✅	✅	6
Proximal Policy Distillation	✅	✅	✅	✅	❌	❌	✅	5
Pruning Feature Extractor Stacking for Cross-domain Few-shot Learning	✅	❌	✅	✅	✅	❌	✅	5
Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training	✅	✅	✅	✅	✅	✅	✅	7
Pseudo-Physics-Informed Neural Operators: Enhancing Operator Learning from Limited Data	✅	✅	✅	✅	✅	❌	✅	6
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning	✅	✅	✅	✅	✅	❌	✅	6
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Qualifying Knowledge and Knowledge Sharing in Multilingual Models	❌	❌	✅	✅	✅	❌	✅	4
Quantifying Context Bias in Domain Adaptation for Object Detection	✅	❌	✅	✅	✅	❌	✅	5
Quasipseudometric Value Functions with Dense Rewards	✅	✅	✅	❌	✅	❌	✅	5
RANa: Retrieval-Augmented Navigation	❌	❌	✅	✅	✅	❌	✅	4
RESTOR: Knowledge Recovery in Machine Unlearning	❌	✅	✅	✅	❌	❌	✅	4
REX: GPU-Accelerated Sim2Real Framework with Delay and Dynamics Estimation	✅	✅	❌	❌	✅	❌	✅	4
RIZE: Adaptive Regularization for Imitation Learning	✅	✅	✅	✅	❌	❌	✅	5
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design	❌	✅	✅	❌	✅	❌	✅	4
RS-Reg: Probabilistic and Robust Certified Regression through Randomized Smoothing	❌	✅	✅	✅	✅	❌	✅	5
Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?	✅	✅	✅	✅	❌	❌	✅	5
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons	✅	❌	✅	✅	❌	❌	✅	4
Random Walk Diffusion for Efficient Large-Scale Graph Generation	✅	✅	✅	✅	❌	❌	✅	5
Rational Tuning of LLM Cascades via Probabilistic Modeling	✅	✅	✅	✅	❌	❌	✅	5
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs	❌	✅	✅	✅	✅	❌	✅	5
ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models	✅	✅	✅	✅	❌	❌	✅	5
ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment	✅	✅	✅	❌	✅	❌	✅	5
Real-Time Privacy Preservation for Robot Visual Perception	✅	❌	✅	❌	✅	❌	✅	4
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
Reassessing Fairness: A Reproducibility Study of NIFA’s Impact on GNN Models	❌	✅	✅	✅	✅	✅	✅	6
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning	❌	❌	✅	✅	✅	❌	✅	4
Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework	❌	✅	✅	❌	✅	❌	✅	4
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry	❌	❌	✅	❌	✅	❌	✅	3
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality	✅	❌	❌	❌	✅	✅	✅	4
Recurrent Natural Policy Gradient for POMDPs	✅	❌	❌	❌	❌	❌	✅	2
Recursive SNE: Fast Prototype-Based t-SNE for Large-Scale and Online Data	✅	❌	✅	✅	✅	❌	✅	5
RefDeblur: Blind Motion Deblurring with Self-Generated Reference Image	❌	❌	✅	✅	❌	❌	✅	3
Referential communication in heterogeneous communities of pre-trained visual deep networks	✅	✅	✅	✅	✅	❌	✅	6
RefinedFields: Radiance Fields Refinement for Planar Scene Representations	✅	✅	✅	✅	✅	✅	✅	7
Registers in Small Vision Transformers: A Reproducibility Study of Vision Transformers Need Registers	❌	✅	✅	✅	✅	❌	✅	5
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization	✅	❌	✅	❌	❌	❌	✅	3
Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Reheated Gradient-based Discrete Sampling for Combinatorial Optimization	✅	✅	✅	✅	✅	❌	✅	6
Reinforcement Learning for Causal Discovery without Acyclicity Constraints	✅	✅	✅	❌	✅	❌	✅	5
Reinforcement Learning from Bagged Reward	✅	✅	✅	❌	✅	✅	✅	6
Reinforcement Learning from Human Feedback with Active Queries	✅	✅	✅	❌	✅	❌	✅	5
Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations	✅	✅	✅	✅	❌	❌	✅	5
Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases	✅	❌	✅	✅	✅	❌	✅	5
Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo-Line-Search Learning Rate	✅	✅	✅	❌	✅	❌	✅	5
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications	❌	✅	❌	❌	✅	❌	✅	3
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization	✅	✅	✅	✅	❌	❌	✅	5
Reliable and Responsible Foundation Models	❌	❌	❌	❌	❌	❌	❌	0
Remembering to Be Fair Again: Reproducing Non-Markovian Fairness in Sequential Decision Making	❌	✅	❌	❌	✅	❌	✅	3
Removing Structured Noise using Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Reproducibility Study of "Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation"	❌	✅	✅	❌	✅	❌	✅	4
Reproducibility Study of "Improving Interpretation Faithfulness For Vision Transformers"	✅	✅	✅	✅	✅	❌	✅	6
Reproducibility Study of ’SLICE: Stabilized LIME for Consistent Explanations for Image Classification’	❌	✅	✅	❌	✅	❌	✅	4
Reproducibility study of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"	❌	✅	✅	✅	❌	❌	✅	4
Reset-free Reinforcement Learning with World Models	✅	✅	✅	❌	✅	❌	✅	5
ResiDual Transformer Alignment with Spectral Decomposition	✅	✅	✅	✅	❌	❌	✅	5
Respecting the limit: Bayesian optimization with a bound on the optimal value	✅	✅	✅	❌	❌	❌	✅	4
Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control	✅	❌	✅	❌	✅	❌	✅	4
Rethinking Knowledge Transfer in Learning Using Privileged Information	❌	✅	✅	✅	✅	❌	✅	5
Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation	❌	❌	✅	❌	❌	❌	✅	2
Rethinking Memory in Continual Learning: Beyond a Monolithic Store of the Past	✅	✅	✅	✅	✅	❌	✅	6
Rethinking Patch Dependence for Masked Autoencoders	✅	✅	✅	✅	✅	✅	✅	7
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach	❌	✅	✅	✅	❌	❌	✅	4
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning	❌	❌	✅	✅	✅	❌	✅	4
Rethinking the Value of Training-Free Structured Pruning of LLMs	❌	❌	✅	❌	❌	❌	✅	2
Retrieve, Merge, Predict: Augmenting Tables with Data Lakes	✅	✅	✅	✅	❌	✅	✅	6
Return-Aligned Decision Transformer	❌	❌	✅	❌	✅	❌	✅	3
Revisiting B2T: Discovering and Mitigating Visual Biases through Keyword Explanations	❌	✅	✅	✅	✅	❌	✅	5
Revisiting Contrastive Divergence for Density Estimation and Sample Generation	✅	❌	✅	✅	✅	❌	✅	5
Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language Models	✅	✅	✅	✅	✅	❌	✅	6
Revisiting Data Augmentation for Ultrasound Images	❌	✅	✅	✅	❌	❌	✅	4
Revisiting Deep Hybrid Models for Out-of-Distribution Detection	❌	✅	✅	✅	✅	❌	✅	5
Revisiting Discover-then-Name Concept Bottleneck Models: A Reproducibility Study	❌	✅	✅	✅	✅	❌	✅	5
Revisiting XRec: How Collaborative Signals Influence LLM-Based Recommendation Explanations	❌	✅	✅	✅	✅	❌	✅	5
Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes	❌	❌	✅	✅	❌	❌	✅	3
Reward Distance Comparisons Under Transition Sparsity	✅	❌	✅	✅	❌	❌	✅	4
Reward-based Autonomous Online Learning Framework for Resilient Cooperative Target Monitoring using a Swarm of Robots	✅	❌	❌	❌	❌	❌	✅	2
Rewarding the Rare: Maverick-Aware Shapley Valuation in Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
Reweighting Improves Conditional Risk Bounds	❌	❌	❌	❌	❌	❌	❌	0
Riemann-Lebesgue Forest for Regression	✅	✅	✅	✅	✅	❌	✅	6
Risk-controlling Prediction with Distributionally Robust Optimization	❌	✅	✅	✅	❌	❌	✅	4
Risk‑Seeking Reinforcement Learning via Multi‑Timescale EVaR Optimization	✅	❌	✅	❌	✅	✅	✅	5
RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation	❌	✅	❌	❌	✅	❌	✅	3
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study	❌	✅	✅	✅	✅	❌	✅	5
Robust Model Selection of Gaussian Graphical Models	✅	❌	✅	❌	❌	❌	✅	3
Robust Multimodal Learning via Cross-Modal Proxy Tokens	❌	✅	✅	✅	✅	✅	✅	6
Robust Offline Imitation Learning from Diverse Auxiliary Data	✅	✅	✅	❌	✅	❌	✅	5
Robust Preference Optimization through Reward Model Distillation	❌	❌	✅	✅	✅	❌	✅	4
Robust Reinforcement Learning in a Sample-Efficient Setting	✅	❌	✅	❌	✅	❌	✅	4
Robust Symbolic Regression for Dynamical System Identification	✅	✅	✅	❌	✅	❌	✅	5
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation	✅	✅	✅	✅	✅	❌	✅	6
Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation	✅	✅	✅	✅	✅	✅	✅	7
Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics	❌	❌	✅	❌	❌	❌	❌	1
Rollout Total Correlation for Deep Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
RouteFinder: Towards Foundation Models for Vehicle Routing Problems	❌	✅	✅	✅	✅	❌	✅	5
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks	✅	✅	✅	❌	✅	❌	✅	5
SAFE-NID: Self-Attention with Normalizing-Flow Encodings for Network Intrusion Detection	❌	✅	✅	✅	✅	❌	✅	5
SAIF: Sparse Adversarial and Imperceptible Attack Framework	✅	✅	✅	✅	✅	❌	✅	6
SCNode: Spatial and Contextual Coordinates for Graph Representation Learning	❌	✅	✅	✅	✅	❌	✅	5
SCas4D: Structural Cascaded Optimization for Boosting Persistent 4D Novel View Synthesis	✅	❌	✅	✅	✅	❌	✅	5
SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization	❌	❌	✅	✅	❌	❌	✅	3
SELU: Self-Learning Embodied Multimodal Large Language Models in Unknown Environments	✅	❌	✅	❌	✅	❌	✅	4
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling	✅	❌	✅	❌	❌	❌	✅	3
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models	❌	❌	✅	✅	✅	❌	✅	4
SIRE: SE(3) Intrinsic Rigidity Embeddings	❌	❌	✅	✅	✅	❌	✅	4
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities	❌	✅	✅	✅	❌	❌	✅	4
SPFormer: Enhancing Vision Transformer with Superpixel Representation	❌	❌	✅	✅	❌	❌	✅	3
SPONGE: Competing Sparse Language Representations for Effective Knowledge Transfer	❌	✅	✅	✅	✅	❌	✅	5
SR-Reward: Taking The Path More Traveled	✅	✅	✅	❌	❌	❌	✅	4
STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting	❌	✅	✅	✅	✅	❌	✅	5
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks	❌	✅	✅	✅	❌	❌	✅	4
SaFARi: State-Space Models for Frame-Agnostic Representation	❌	✅	✅	❌	❌	❌	✅	3
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors	❌	❌	❌	❌	✅	✅	✅	3
Sample, estimate, aggregate: A recipe for causal discovery foundation models	✅	✅	✅	✅	✅	❌	✅	6
Sample-efficient decoding of visual stimuli from fMRI through inter-individual functional alignment	❌	❌	✅	✅	❌	✅	✅	4
Say My Name: a Model's Bias Discovery Framework	❌	✅	✅	❌	✅	❌	✅	4
Scalable Generative Modeling of Weighted Graphs	✅	✅	✅	✅	✅	❌	✅	6
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference	❌	✅	✅	✅	✅	❌	✅	5
Scaling Channel-Adaptive Self-Supervised Learning	❌	✅	✅	✅	❌	❌	✅	4
Scaling Laws for Predicting Downstream Performance in LLMs	❌	❌	✅	❌	❌	❌	✅	2
Scaling Laws of Distributed Random Forests	✅	✅	✅	✅	✅	✅	✅	7
Scaling and Distilling Transformer Models for sEMG	❌	✅	✅	✅	✅	✅	✅	6
Schauder Bases for $C[0, 1]$ Using ReLU, Softplus and Two Sigmoidal Functions	❌	❌	❌	❌	❌	❌	❌	0
Score-Based Denoising Diffusion Models for Photon-Starved Image Restoration Problems	✅	❌	✅	✅	✅	❌	✅	5
Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models	❌	❌	✅	✅	✅	❌	✅	4
Seeing Beyond Labels: Source-Free Domain Adaptation via Hypothesis Consolidation of Prediction Rationale	✅	✅	✅	✅	✅	❌	✅	6
Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model	✅	✅	✅	❌	❌	❌	✅	4
Selective Concept Bottleneck Models Without Predefined Concepts	❌	✅	✅	✅	✅	❌	✅	5
Selective Prediction via Training Dynamics	✅	❌	✅	✅	❌	❌	✅	4
Self-Exploring Language Models: Active Preference Elicitation for Online Alignment	✅	❌	✅	✅	✅	❌	✅	5
Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design	✅	❌	✅	✅	✅	❌	✅	5
SelfEval: Leveraging discriminative nature of generative models for evaluation	❌	❌	✅	✅	❌	❌	✅	3
Semantic Alignment for Prompt-Tuning in Vision Language Models	✅	❌	✅	✅	❌	❌	✅	4
Semantic Mapping in Indoor Embodied AI - A Survey on Advances, Challenges, and Future Directions	❌	❌	❌	❌	❌	❌	❌	0
Semantic-Syntactic Discrepancy in Images (SSDI): Learning Meaning and Order of Features from Natural Images	✅	✅	✅	✅	✅	✅	✅	7
Set-Based Training for Neural Network Verification	✅	❌	✅	✅	✅	❌	✅	5
Setting the Record Straight on Transformer Oversmoothing	❌	❌	✅	❌	✅	❌	✅	3
Shapley Values of Structured Additive Regression Models and Application to RKHS Weightings of Functions	✅	✅	✅	✅	❌	✅	✅	6
Shared Imagination: LLMs Hallucinate Alike	❌	✅	✅	❌	❌	❌	✅	3
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative model for Quasar spectra	✅	✅	✅	✅	✅	❌	✅	6
Shedding Light on Problems with Hyperbolic Graph Learning	❌	✅	✅	❌	✅	❌	❌	3
Show or Tell? Effectively prompting Vision-Language Models for semantic segmentation	✅	❌	✅	✅	✅	❌	✅	5
SimPLR: A Simple and Plain Transformer for Efficient Object Detection and Segmentation	❌	✅	✅	❌	✅	❌	✅	4
Simple Calibration via Geodesic Kernels	✅	✅	✅	✅	✅	✅	✅	7
Simple and Nearly-Optimal Sampling for Rank-1 Tensor Completion via Gauss-Jordan	✅	❌	❌	❌	❌	❌	❌	1
Simplifying Knowledge Transfer in Pretrained Models	✅	✅	✅	✅	✅	❌	✅	6
Simulation-based Bayesian Inference from Privacy Protected Data	✅	✅	✅	✅	✅	❌	✅	6
Single-pass Detection of Jailbreaking Input in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Single-positive Multi-label Learning with Label Cardinality	✅	✅	✅	✅	❌	❌	✅	5
Slicing Unbalanced Optimal Transport	✅	✅	✅	✅	✅	❌	✅	6
Slicing the Gaussian Mixture Wasserstein Distance	✅	✅	✅	❌	✅	❌	✅	5
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks	✅	❌	✅	❌	✅	❌	✅	4
Solution Augmentation for ARC Problems Using GFlowNet: A Probabilistic Exploration Approach	✅	✅	✅	✅	❌	❌	✅	5
Solving Inverse Problems using Diffusion with Iterative Colored Renoising	✅	✅	✅	✅	✅	❌	✅	6
Solving Multi-agent Path Finding as an LLM Benchmark: How, How Good and Why	❌	❌	✅	✅	❌	❌	✅	3
Solving Quadratic Programs via Deep Unrolled Douglas-Rachford Splitting	✅	✅	✅	✅	✅	✅	✅	7
Solving the Cold Start Problem on One's Own as an End User via Preference Transfer	❌	✅	✅	✅	❌	❌	✅	4
Sortability of Time Series Data	❌	❌	✅	❌	❌	❌	✅	2
SoundnessBench: A Soundness Benchmark for Neural Network Verifiers	✅	✅	✅	✅	❌	❌	✅	5
Spaced Scheduling for Large Language Model Training	✅	✅	✅	✅	✅	✅	✅	7
Sparse Decomposition of Graph Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations	✅	✅	✅	✅	✅	✅	✅	7
Sparse Neural Architectures via Deterministic Ramanujan Graphs	❌	❌	✅	✅	❌	❌	✅	3
Sparse, Efficient and Explainable Data Attribution with DualXDA	❌	✅	✅	✅	✅	❌	✅	5
Sparse-Input Neural Network using Group Concave Regularization	❌	✅	✅	✅	❌	❌	✅	4
Sparse-to-Sparse Training of Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
SparseDiff: Sparse Discrete Diffusion for Scalable Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Sparser, Better, Faster, Stronger: Sparsity Detection for Efficient Automatic Differentiation	❌	✅	✅	❌	✅	✅	❌	4
Sparsified State-Space Models are Efficient Highway Networks	❌	✅	✅	❌	✅	❌	✅	4
Sparsity regularization via tree-structured environments for disentangled representations	❌	✅	✅	✅	✅	❌	✅	5
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning	❌	✅	✅	❌	❌	❌	✅	3
Spatio-temporal Partial Sensing Forecast of Long-term Traffic	❌	✅	✅	✅	✅	❌	✅	5
Spectral Clustering and Labeling for Crowdsourcing with Inherently Distinct Task Types	✅	❌	✅	❌	❌	❌	❌	2
Speech Synthesis By Unrolling Diffusion Process using Neural Network Layers	✅	❌	✅	✅	✅	❌	✅	5
SpidR: Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision	❌	✅	✅	✅	✅	✅	✅	6
Spurious Privacy Leakage in Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators	❌	✅	✅	✅	❌	❌	✅	4
Stabilizing black-box model selection with the inflated argmax	✅	❌	✅	✅	❌	❌	✅	4
Stabilizing the Kumaraswamy Distribution	✅	❌	✅	✅	✅	❌	✅	5
Stacking Variational Bayesian Monte Carlo	✅	✅	✅	❌	✅	❌	✅	5
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
State space models can express $n$-gram languages	❌	❌	✅	❌	❌	❌	✅	2
State-Constrained Offline Reinforcement Learning	✅	✅	✅	✅	✅	❌	✅	6
Statistical Error Bounds for GANs with Nonlinear Objective Functionals	❌	❌	❌	❌	❌	❌	❌	0
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks	❌	❌	✅	✅	✅	❌	✅	4
Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference	✅	✅	✅	✅	❌	❌	✅	5
Step-Controlled DPO: Leveraging Stepwise Errors for Enhancing Mathematical Reasoning of Language Models	❌	✅	✅	✅	✅	❌	✅	5
Stochastic Block Model-Aware Topological Neural Networks for Graph Link Prediction	❌	✅	✅	✅	✅	❌	✅	5
Stochastic Primal-Dual Double Block-Coordinate for Two- way Partial AUC Maximization	✅	❌	✅	✅	❌	❌	✅	4
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search	✅	❌	✅	✅	❌	❌	✅	4
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches	✅	✅	✅	❌	❌	❌	✅	4
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models	❌	❌	✅	❌	❌	❌	❌	1
Streaming Heteroscedastic Probabilistic PCA with Missing Data	✅	✅	✅	✅	✅	❌	✅	6
Streamlining Language Models via Semantic Basis Analysis	✅	✅	✅	❌	✅	❌	✅	5
Structural Causal Circuits: Probabilistic Circuits Climbing All Rungs of Pearl's Ladder of Causation	❌	✅	❌	✅	✅	❌	✅	4
Studying Exploration in RL: An Optimal Transport Analysis of Occupancy Measure Trajectories	❌	✅	✅	✅	❌	✅	✅	5
Studying memorization of large language models using answers to Stack Overflow questions	❌	✅	✅	❌	❌	❌	✅	3
SuFP: Piecewise Bit Allocation Floating-Point for Robust Neural Network Quantization	✅	❌	✅	❌	❌	❌	✅	3
Successor Clusters: A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Superposition as Lossy Compression — Measure with Sparse Autoencoders and Connect to Adversarial Vulnerability	❌	❌	✅	✅	❌	❌	✅	3
Survey of Video Diffusion Models: Foundations, Implementations, and Applications	✅	✅	✅	❌	✅	❌	❌	4
SynCode: LLM Generation with Grammar Augmentation	✅	✅	✅	❌	✅	❌	✅	5
Synchrony-Gated Plasticity with Dopamine Modulation for Spiking Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
Synthesizing Minority Samples for Long-tailed Classification via Distribution Matching	✅	✅	✅	✅	✅	❌	✅	6
Synthesizing world models for bilevel planning	✅	✅	✅	❌	❌	❌	✅	4
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models	✅	❌	✅	✅	✅	❌	✅	5
Synthetic Data is Sufficient for Zero-Shot Visual Generalization from Offline Data	❌	❌	✅	❌	❌	❌	❌	1
System-2 Mathematical Reasoning via Enriched Instruction Tuning	❌	❌	✅	✅	✅	❌	✅	4
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization	✅	✅	❌	✅	✅	✅	✅	6
T2L: Efficient Zero-Shot Action Recognition with Temporal Token Learning	❌	✅	✅	✅	✅	❌	✅	5
TACO Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression	✅	❌	✅	❌	✅	✅	✅	5
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding	❌	✅	✅	✅	✅	❌	✅	5
TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering	✅	❌	✅	✅	✅	✅	✅	6
TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models	❌	✅	✅	✅	❌	❌	✅	4
TRA: Better Length Generalisation with Threshold Relative Attention	✅	✅	✅	✅	✅	❌	✅	6
TRIDE: A Text-assisted Radar-Image weather-aware fusion network for Depth Estimation	❌	✅	✅	✅	✅	❌	✅	5
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks	❌	❌	✅	❌	✅	❌	✅	3
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture	❌	❌	✅	✅	✅	✅	✅	5
Table Foundation Models: on knowledge pre-training for tabular learning	❌	✅	✅	✅	✅	❌	✅	5
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach	✅	❌	✅	✅	✅	❌	✅	5
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects	❌	✅	✅	✅	✅	❌	✅	5
TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining	✅	✅	✅	✅	✅	❌	✅	6
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images	✅	❌	✅	✅	✅	❌	✅	5
Task Arithmetic Through The Lens Of One-Shot Federated Learning	❌	✅	✅	✅	✅	❌	✅	5
Task Diversity Shortens the In-Context Learning Plateau	✅	✅	✅	✅	❌	❌	✅	5
Task-agnostic Prompt Compression with Context-aware Sentence Embedding and Reward-guided Task Descriptor	✅	✅	✅	❌	✅	❌	✅	5
Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models	❌	❌	✅	❌	❌	❌	❌	1
Teaching Diffusion Models to Ground Alpha Matte	❌	✅	✅	✅	✅	❌	✅	5
TempFlex: Advancing MLLMs with Temporal Perception and Natively Scalable Resolution Encoding	❌	✅	✅	❌	✅	❌	✅	4
Temporal Test-Time Adaptation with State-Space Models	✅	❌	✅	✅	✅	❌	✅	5
Temporal horizons in forecasting: a performance-learnability trade-off	✅	❌	✅	✅	✅	❌	✅	5
Test-Time Adaptation with Source Based Auxiliary Tasks	❌	❌	✅	❌	✅	❌	✅	3
Test-Time Fairness and Robustness in Large Language Models	✅	❌	✅	✅	❌	❌	✅	4
Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models	✅	❌	✅	✅	✅	✅	✅	6
Testing with Non-identically Distributed Samples	❌	❌	❌	❌	❌	❌	❌	0
Text to Stealthy Adversarial Face Masks	✅	✅	✅	✅	✅	❌	✅	6
Text-to-Image Generation Via Energy-Based CLIP	✅	❌	✅	✅	✅	❌	✅	5
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models	❌	✅	✅	❌	✅	❌	✅	4
The 2023 Foundation Model Transparency Index	❌	✅	✅	❌	❌	❌	✅	3
The 2024 Foundation Model Transparency Index	❌	✅	✅	❌	❌	❌	❌	2
The AI Hippocampus: How Far are We From Human Memory?	❌	✅	✅	✅	❌	❌	❌	3
The Accuracy Cost of Weakness: A Theoretical Analysis of Fixed-Segment Weak Labeling for Events in Time	❌	✅	✅	❌	❌	❌	❌	2
The BrowserGym Ecosystem for Web Agent Research	✅	✅	✅	✅	✅	❌	✅	6
The Choice of Normalization Influences Shrinkage in Regularized Regression	❌	✅	✅	✅	❌	❌	✅	4
The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning	❌	✅	✅	✅	❌	❌	✅	4
The Diffusion Process as a Correlation Machine: Linear Denoising Insights	✅	❌	✅	✅	❌	❌	✅	4
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging	✅	✅	✅	✅	✅	❌	✅	6
The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance	❌	❌	✅	❌	✅	❌	❌	2
The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities	✅	✅	✅	❌	❌	❌	✅	4
The Initialization Determines Whether In-Context Learning Is Gradient Descent	❌	❌	✅	❌	❌	❌	✅	2
The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms	✅	✅	✅	✅	✅	✅	✅	7
The Overcooked Generalisation Challenge: Evaluating Cooperation with Novel Partners in Unknown Environments Using Unsupervised Environment Design	❌	✅	✅	✅	✅	❌	✅	5
The Performance Of The Unadjusted Langevin Algorithm Without Smoothness Assumptions	✅	❌	❌	✅	❌	❌	✅	3
The RealHumanEval: Evaluating Large Language Models’ Abilities to Support Programmers	❌	✅	✅	❌	❌	❌	✅	3
The Sparse Matrix-Based Random Projection: A Study of Binary and Ternary Quantization	❌	❌	✅	✅	❌	❌	❌	2
The Time-Energy Model: Selective Time-Series Forecasting Using Energy-Based Models	✅	✅	✅	✅	❌	❌	✅	5
The inexact power augmented Lagrangian method for constrained nonconvex optimization	✅	✅	✅	✅	✅	❌	✅	6
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning	❌	✅	✅	✅	✅	❌	✅	5
Theoretical Learning Performance of Graph Networks: the Impact of Jumping Connections and Layer-wise Sparsification	✅	❌	✅	✅	❌	❌	✅	4
Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields	❌	❌	✅	✅	✅	❌	✅	4
Thompson Sampling For Bandits With Cool-Down Periods	✅	❌	❌	❌	❌	❌	✅	2
Thoughts and Lessons on Using Visual Foundation Models for Manipulation	✅	❌	✅	❌	✅	❌	✅	4
TicketLLM: Next-Generation Sparse and Low-bit Transformers with Supermask-based Method	❌	✅	✅	✅	✅	❌	✅	5
Tighter sparse variational Gaussian processes	❌	✅	✅	❌	❌	❌	✅	3
Time Series Domain Adaptation via Channel-Selective Representation Alignment	❌	✅	✅	✅	✅	❌	✅	5
Time-Uniform Confidence Spheres for Means of Random Vectors	❌	✅	❌	❌	❌	❌	✅	2
TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data	✅	✅	✅	✅	❌	❌	✅	5
To Be Greedy, or Not to Be – That Is the Question for Population Based Training Variants	❌	✅	✅	✅	❌	❌	✅	4
Top-$k$ Feature Importance Ranking	✅	✅	✅	✅	✅	❌	✅	6
Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention	✅	❌	✅	✅	✅	❌	✅	5
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification	❌	❌	❌	❌	❌	❌	✅	1
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs	❌	✅	✅	❌	✅	❌	✅	4
Towards Efficient Contrastive PAC Learning	❌	❌	❌	❌	❌	❌	❌	0
Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques	❌	✅	✅	❌	❌	❌	✅	3
Towards Efficient Training of Graph Neural Networks: A Multiscale Approach	✅	✅	✅	✅	❌	❌	✅	5
Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition	✅	✅	✅	✅	✅	❌	✅	6
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings	❌	❌	✅	✅	❌	❌	✅	3
Towards LifeSpan Cognitive Systems	❌	❌	❌	❌	❌	❌	❌	0
Towards Measuring Predictability: To which extent data-driven approaches can extract deterministic relations from data exemplified with time series prediction and classification	✅	✅	✅	✅	❌	❌	✅	5
Towards Robust Scale-Invariant Mutual Information Estimators	❌	✅	✅	❌	❌	❌	✅	3
Towards Undistillable Models by Minimizing Conditional Mutual Information	✅	✅	✅	✅	✅	✅	✅	7
Towards context and domain-aware algorithms for scene analysis	✅	✅	✅	✅	❌	❌	✅	5
Towards identifiability of micro total effects in summary causal graphs with latent confounding: extension of the front-door criterion	❌	❌	❌	❌	❌	❌	❌	0
Towards shutdownable agents via stochastic choice	❌	❌	❌	❌	❌	❌	✅	1
Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Tracking the Median of Gradients with a Stochastic Proximal Point Method	❌	❌	✅	✅	❌	❌	✅	3
Tractable Representation Learning with Probabilistic Circuits	✅	✅	✅	✅	✅	❌	✅	6
Training Dynamics of Learning 3D-Rotational Equivariance	❌	✅	✅	✅	❌	❌	✅	4
Training Dynamics of the Cooldown Stage in Warmup-Stable-Decay Learning Rate Scheduler	❌	❌	✅	✅	❌	❌	✅	3
Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis	❌	❌	✅	✅	❌	❌	✅	3
Transferring Reasoning Capabilities between LLMs operating via Curriculum Learning Policy	❌	❌	✅	✅	✅	✅	✅	5
Transformers in Uniform TC$^0$	❌	❌	❌	❌	❌	❌	❌	0
Transformers trained on proteins can learn to attend to Euclidean distance	❌	✅	✅	✅	✅	❌	✅	5
Tree Search for Language Model Agents	✅	✅	✅	✅	❌	❌	✅	5
Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel	✅	✅	✅	✅	✅	❌	✅	6
Triple Preference Optimization: Achieving Better Alignment using a Single Step Optimization	❌	❌	✅	✅	✅	❌	✅	4
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems	❌	❌	❌	❌	❌	❌	❌	0
Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection	❌	✅	✅	❌	✅	❌	✅	4
Two-Step Offline Preference-Based Reinforcement Learning on Explicitly Constrained Policies	✅	❌	✅	❌	✅	❌	✅	4
UMP-Net: Uncertainty-Aware Mixture of Prompts Network for Efficient Instruction Tuning	✅	✅	✅	✅	✅	❌	✅	6
UnSTAR: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs	✅	✅	✅	✅	✅	❌	✅	6
Unbiased Loss Functions for Multilabel Classification with Missing Labels	❌	✅	✅	✅	❌	❌	✅	4
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers	❌	✅	✅	✅	✅	❌	✅	5
Uncertainty Quantification in Retrieval Augmented Question Answering	❌	✅	✅	✅	✅	❌	✅	5
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability	❌	❌	✅	✅	❌	❌	✅	3
Uncertainty-Based Experience Replay for Task-Agnostic Continual Reinforcement Learning	✅	❌	✅	✅	❌	❌	✅	4
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior	❌	✅	✅	✅	❌	❌	✅	4
Uncertainty-aware Reward Design Process	✅	✅	✅	✅	❌	✅	✅	6
Uncovering Strong Lottery Tickets in Graph Transformers: A Path to Memory Efficient and Robust Graph Learning	✅	❌	✅	❌	❌	❌	✅	3
Understanding Class Bias Amplification in Graph Representation Learning	✅	✅	✅	✅	✅	❌	✅	6
Understanding Embedding Scaling in Collaborative Filtering	✅	✅	✅	✅	✅	❌	✅	6
Understanding Emergent In-Context Learning from a Kernel Regression Perspective	❌	✅	✅	✅	✅	❌	✅	5
Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective	❌	❌	✅	✅	❌	❌	✅	3
Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens	❌	❌	❌	❌	❌	❌	✅	1
Understanding LLM Embeddings for Regression	❌	❌	✅	✅	❌	❌	✅	3
Understanding Self-supervised Contrastive Learning through Supervised Objectives	❌	✅	✅	✅	✅	❌	✅	5
Understanding and Reducing the Class-Dependent Effects of Data Augmentation with A Two-Player Game Approach	✅	❌	✅	✅	✅	❌	✅	5
Understanding and Robustifying Sub-domain Alignment for Domain Adaptation	✅	✅	✅	❌	✅	❌	✅	5
Understanding the learned look-ahead behavior of chess neural networks	❌	✅	✅	✅	✅	❌	✅	5
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting	❌	❌	✅	✅	✅	❌	✅	4
UniZero: Generalized and Efficient Planning with Scalable Latent World Models	✅	✅	✅	❌	✅	❌	✅	5
Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework	❌	✅	✅	✅	✅	❌	✅	5
Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier	✅	❌	✅	❌	✅	❌	✅	4
Unified Risk Analysis for Weakly Supervised Learning	❌	❌	❌	❌	❌	❌	❌	0
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models	❌	✅	✅	❌	✅	✅	✅	5
Unified Wisdom: Harnessing Collaborative Learning to Improve Efficacy of Knowledge Distillation	✅	✅	✅	✅	✅	❌	✅	6
Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise	❌	❌	✅	✅	✅	❌	✅	4
Unifying Generative and Dense Retrieval for Sequential Recommendation	✅	✅	✅	✅	✅	❌	✅	6
Unifying Linear-Time Attention via Latent Probabilistic Modelling	✅	✅	✅	✅	✅	❌	✅	6
Unifying Self-Supervised Clustering and Energy-Based Models	✅	✅	✅	✅	❌	❌	✅	5
Universal Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Universal Differential Equations for Stable Multi-Step Volatility Time Series Forecasting	❌	❌	✅	✅	❌	✅	✅	4
Universal Link Predictor By In-Context Learning on Graphs	❌	❌	✅	✅	✅	❌	✅	4
Universal and Efficient Detection of Adversarial Data through Nonuniform Impact on Network Layers	✅	✅	✅	✅	✅	❌	✅	6
Unlabelled Compressive Sensing under Sparse Permutation and Prior Information	✅	❌	❌	❌	❌	❌	✅	2
Unlearning Misalignment for Personalized LLM Adaptation via Instance-Response-Dependent Discrepancies	❌	❌	✅	✅	❌	❌	❌	2
Unlearning Personal Data from a Single Image	✅	✅	✅	✅	✅	❌	✅	6
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models	✅	✅	✅	✅	❌	❌	❌	4
Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction	✅	❌	✅	✅	❌	❌	✅	4
Unlocking the matrix form of the Quaternion Fourier Transform and Quaternion Convolution: Properties, connections, and application to Lipschitz constant bounding	❌	✅	✅	✅	❌	❌	✅	4
Unmasking Trees for Tabular Data	✅	✅	✅	✅	✅	❌	✅	6
Unreasonable effectiveness of LLM reasoning: a doubly cautionary tale of temporal question-answering	❌	❌	✅	✅	❌	❌	❌	2
Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport	✅	✅	✅	✅	❌	❌	✅	5
Unsupervised Discovery of Object-Centric Neural Fields	❌	✅	❌	✅	✅	❌	✅	4
Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization	❌	✅	✅	❌	❌	❌	✅	3
Unveiling Multiple Descents in Unsupervised Autoencoders	❌	❌	✅	✅	✅	❌	✅	4
Using Platt’s scaling for calibration after undersampling — limitations and how to address them	❌	❌	❌	✅	❌	✅	✅	3
Using representation balancing to learn conditional-average dose responses from clustered data	❌	✅	✅	✅	✅	❌	✅	5
VColRL: Learn to solve the Vertex Coloring Problem using Reinforcement Learning	❌	✅	✅	✅	✅	✅	✅	6
VLM’s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models	❌	❌	❌	✅	✅	❌	✅	3
VSCoDe: Visual-Augmentation Selection for Contrastive Decoding	✅	❌	✅	❌	✅	❌	✅	4
Variance Dichotomy in Feature Spaces of Facial Recognition Systems is a Weak Defense against Simple Weight Manipulation Attacks	❌	❌	✅	✅	❌	❌	✅	3
Variance Reduced Smoothed Functional REINFORCE Policy Gradient Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Variance Reduction of Stochastic Hypergradient Estimation by Mixed Fixed-Point Iteration	✅	✅	✅	✅	❌	❌	✅	5
Variation Matters: from Mitigating to Embracing Zero-Shot NAS Ranking Function Variation	✅	❌	✅	✅	❌	❌	✅	4
Variational Neural Stochastic Differential Equations with Change Points	✅	❌	✅	✅	❌	❌	✅	4
Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge	✅	✅	✅	✅	❌	❌	✅	5
Variational Stochastic Gradient Descent for Deep Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Verbalized Machine Learning: Revisiting Machine Learning with Language Models	✅	❌	✅	✅	✅	❌	✅	5
ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence	❌	✅	✅	❌	✅	❌	✅	4
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics	❌	✅	✅	✅	✅	❌	✅	5
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis	✅	✅	✅	✅	✅	❌	✅	6
VirDA: Reusing Backbone for Unsupervised Domain Adaptation with Visual Reprogramming	❌	✅	✅	✅	✅	❌	✅	5
Vision-Language Models Provide Promptable Representations for Reinforcement Learning	✅	❌	✅	✅	✅	✅	✅	6
Visual Privacy Auditing with Diffusion Models	✅	❌	✅	✅	❌	❌	✅	4
Visual-Word Tokenizer: Beyond Fixed Sets of Tokens in Vision Transformers	❌	✅	✅	✅	✅	❌	✅	5
Visually Descriptive Language Model for Vector Graphics Reasoning	❌	❌	✅	✅	✅	✅	✅	5
Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients	❌	❌	❌	❌	❌	❌	❌	0
Wasserstein Coreset via Sinkhorn Loss	✅	❌	✅	❌	❌	❌	✅	3
Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust	❌	❌	✅	✅	✅	❌	✅	4
Weakly Supervised Object Segmentation by Background Conditional Divergence	✅	✅	✅	✅	✅	❌	✅	6
What Makes ImageNet Look Unlike LAION	❌	✅	✅	✅	❌	❌	✅	4
What Matters for Model Merging at Scale?	❌	❌	✅	❌	❌	❌	✅	2
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions	❌	✅	✅	✅	✅	❌	✅	5
What Time Tells Us? An Explorative Study of Time Awareness Learned from Static Images	❌	❌	✅	✅	❌	❌	✅	3
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?	✅	✅	✅	✅	✅	❌	✅	6
What’s Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias	✅	❌	✅	✅	✅	❌	✅	5
When Are Bias-Free ReLU Networks Effectively Linear Networks?	❌	❌	✅	❌	❌	❌	✅	2
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training	❌	✅	✅	❌	✅	✅	✅	5
When SNN meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency	✅	✅	✅	✅	✅	❌	✅	6
When Should Reinforcement Learning Use Causal Reasoning?	❌	❌	❌	❌	❌	❌	❌	0
When resampling/reweighting improves feature learning in imbalanced classification? A toy-model study	❌	❌	❌	❌	❌	❌	✅	1
Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey	❌	❌	❌	❌	✅	❌	✅	2
Where are we with calibration under dataset shift in image classification?	✅	✅	✅	✅	❌	❌	✅	5
Where to Intervene: Action Selection in Deep Reinforcement Learning	✅	❌	✅	✅	✅	❌	✅	5
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision	❌	✅	✅	✅	✅	❌	✅	5
Why Settle for Mid: A Probabilistic Viewpoint to Spatial Relationship Alignment in Text-to-image Models	❌	✅	✅	❌	✅	❌	✅	4
Why is constrained neural language generation particularly challenging?	❌	❌	✅	❌	❌	❌	❌	1
Wolf: Dense Video Captioning with a World Summarization Framework	❌	✅	✅	✅	✅	❌	✅	5
Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs	✅	✅	✅	❌	❌	❌	✅	4
YRC-Bench: A Benchmark for Learning to Coordinate with Experts	✅	✅	✅	✅	✅	❌	✅	6
YoooP: You Only Optimize One Prototype per Class for Non-Exemplar Incremental Learning	✅	✅	✅	✅	✅	❌	✅	6
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation	❌	❌	✅	❌	✅	❌	✅	3
Zero-shot CLIP Class Forgetting via Text-image Space Adaptation	❌	❌	✅	❌	❌	❌	✅	2
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training	✅	✅	✅	✅	✅	❌	✅	6
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM	✅	❌	✅	✅	❌	❌	✅	4
[RE] GNNBoundary: Finding Boundaries and Going Beyond Them	❌	✅	✅	❌	✅	❌	✅	4
[RE] GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries	✅	✅	✅	✅	✅	❌	✅	6
[Re] Benchmarking LLM Capabilities in Negotiation through Scoreable Games	❌	✅	✅	❌	✅	❌	✅	4
[Re] Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents	❌	✅	✅	❌	✅	❌	✅	4
[Re] Improving Interpretation Faithfulness for Vision Transformers	❌	✅	✅	❌	✅	❌	✅	4
\copyright Plug-in Authorization for Human Copyright Protection in Text-to-Image Model	✅	✅	✅	✅	❌	✅	✅	6
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels	❌	✅	✅	✅	✅	❌	✅	5
k-NN as a Simple and Effective Estimator of Transferability	❌	❌	✅	✅	❌	✅	✅	4
kNNSampler: Stochastic Imputations for Recovering Missing Value Distributions	✅	✅	✅	✅	❌	❌	✅	5
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation	✅	✅	✅	✅	✅	❌	✅	6
νSAM: Memory-Efficient Sharpness-Aware Minimization via Nuclear Norm Constraints	✅	❌	✅	❌	✅	❌	✅	4
∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS	❌	✅	✅	✅	✅	❌	✅	5