reproducibilityindex.ai

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

Transactions on Machine Learning Research (TMLR) - 2025

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