Reproducibility Index

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

Transactions on Machine Learning Research (TMLR) - 2024

Documentation Rate of Empirical Papers by Reproducibility Variable

Distribution of Empirical Papers by Number of Documented Variables

Website:

Venue	Year	Papers	Reproducibility Score Reproducibility Score based on Gundersen et al. (2025). See Methods for details.	Documentation Score Documentation Score is the average score over the seven reproducibility variables for empirical research papers. See Methods for details.	% Empirical Percentage of papers that are empirical research vs theoretical research.	% Industry Percentage of empirical research papers with at least one author from Industry.	Website
TMLR	2024	947	0.61	4.36	94.51%	34.64%

Search Papers

	Pseudocode	Open Source Code	Open Datasets	Dataset Splits	Hardware Specification	Software Dependencies	Experiment Setup
$\sigma$-PCA: a building block for neural learning of identifiable linear transformations	❌	❌	✅	❌	❌	❌	✅	2
'Explaining RL Decisions with Trajectories’: A Reproducibility Study	✅	✅	✅	❌	✅	❌	✅	5
*FastDoc*: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy	❌	✅	✅	✅	✅	❌	✅	5
3D Molecular Generation via Virtual Dynamics	✅	❌	✅	✅	✅	✅	✅	6
A Bag of Tricks for Few-Shot Class-Incremental Learning	❌	❌	✅	✅	✅	❌	✅	4
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning	✅	❌	✅	✅	❌	❌	✅	4
A Dual-Perspective Approach to Evaluating Feature Attribution Methods	✅	✅	✅	✅	❌	❌	✅	5
A Fisher-Rao gradient flow for entropic mean-field min-max games	❌	❌	❌	❌	❌	❌	❌	0
A Fully Decentralized Surrogate for Multi-Agent Policy Optimization	✅	✅	✅	❌	✅	❌	✅	5
A General-Purpose Multi-Modal OOD Detection Framework	✅	❌	✅	✅	❌	❌	✅	4
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions	✅	✅	✅	✅	✅	❌	✅	6
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs	✅	❌	✅	✅	❌	❌	✅	4
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models	❌	✅	✅	✅	✅	❌	✅	5
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization	❌	✅	✅	❌	❌	❌	✅	3
A Lennard-Jones Layer for Distribution Normalization	✅	❌	✅	❌	✅	❌	✅	4
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis	✅	✅	✅	✅	✅	✅	✅	7
A Note on the Convergence of Denoising Diffusion Probabilistic Models	❌	❌	❌	❌	❌	❌	✅	1
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science	❌	✅	✅	✅	❌	❌	✅	4
A Probabilistic Model behind Self- Supervised Learning	✅	✅	✅	✅	✅	❌	✅	6
A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions	✅	❌	✅	❌	✅	❌	✅	4
A Review of the Applications of Deep Learning-Based Emergent Communication	❌	❌	❌	❌	❌	❌	❌	0
A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis	✅	✅	✅	❌	✅	✅	✅	6
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks	✅	✅	✅	✅	❌	❌	✅	5
A Short Survey on Importance Weighting for Machine Learning	❌	❌	❌	❌	❌	❌	❌	0
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories	❌	✅	✅	✅	✅	❌	✅	5
A Single Transformer for Scalable Vision-Language Modeling	✅	✅	✅	✅	✅	❌	✅	6
A Study of the Effects of Transfer Learning on Adversarial Robustness	❌	✅	✅	✅	❌	❌	✅	4
A Survey of Temporal Credit Assignment in Deep Reinforcement Learning	❌	❌	❌	❌	❌	❌	❌	0
A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices	❌	❌	✅	❌	❌	❌	❌	1
A Survey on Data Selection for Language Models	❌	❌	✅	❌	❌	❌	❌	1
A Survey on Fairness Without Demographics	❌	❌	❌	❌	❌	❌	❌	0
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations	❌	❌	✅	❌	❌	❌	❌	1
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law	❌	❌	❌	❌	❌	❌	❌	0
A Survey on Out-of-Distribution Detection in NLP	❌	❌	✅	❌	❌	❌	❌	1
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks	❌	❌	✅	❌	❌	❌	❌	1
A Theoretical Framework for Zeroth-Order Budget Convex Optimization	✅	❌	❌	❌	❌	❌	✅	2
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression	❌	❌	✅	❌	❌	❌	❌	1
A True-to-the-model Axiomatic Benchmark for Graph-based Explainers	❌	✅	✅	❌	❌	❌	✅	3
A Unified Hallucination Mitigation Framework for Large Vision-Language Models	✅	✅	✅	✅	❌	✅	✅	6
A Unified View of Differentially Private Deep Generative Modeling	❌	❌	❌	❌	❌	❌	❌	0
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning	✅	❌	❌	❌	❌	❌	❌	1
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity	✅	✅	✅	✅	❌	❌	✅	5
A density estimation perspective on learning from pairwise human preferences	❌	✅	✅	❌	❌	❌	✅	3
A general framework for formulating structured variable selection	❌	❌	❌	❌	❌	❌	❌	0
A note on regularised NTK dynamics with an application to PAC-Bayesian training	❌	❌	❌	❌	❌	❌	❌	0
A persistent homology-based algorithm for unsupervised anomaly detection in time series	✅	✅	✅	❌	❌	❌	✅	4
A replica analysis of under-bagging	❌	❌	✅	✅	❌	❌	✅	3
AGALE: A Graph-Aware Continual Learning Evaluation Framework	✅	✅	✅	✅	❌	❌	❌	4
AGG: Amortized Generative 3D Gaussians for Single Image to 3D	❌	❌	✅	✅	✅	❌	✅	4
AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
APBench: A Unified Availability Poisoning Attack and Defenses Benchmark	❌	✅	✅	✅	❌	❌	✅	4
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction	✅	✅	✅	✅	✅	✅	✅	7
Accelerated Deep Active Learning with Graph-based Sub- Sampling	✅	❌	✅	❌	❌	❌	✅	3
Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation	❌	✅	✅	✅	❌	✅	✅	5
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization	❌	❌	✅	✅	✅	❌	✅	4
Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach	✅	❌	✅	❌	❌	❌	❌	2
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms	✅	❌	✅	❌	❌	❌	✅	3
Active Sequential Two-Sample Testing	✅	❌	✅	❌	❌	❌	✅	3
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction	✅	❌	✅	✅	❌	❌	✅	4
AdaFlood: Adaptive Flood Regularization	✅	❌	✅	✅	❌	❌	✅	4
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents	✅	✅	✅	❌	❌	❌	✅	4
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis	❌	✅	✅	✅	✅	✅	✅	6
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection	❌	✅	✅	✅	✅	❌	✅	5
Adaptive Conformal Regression with Split-Jackknife+ Scores	✅	❌	✅	✅	✅	✅	✅	6
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning	❌	✅	✅	✅	❌	❌	✅	4
Adaptive Training Distributions with Scalable Online Bilevel Optimization	✅	✅	✅	✅	❌	❌	✅	5
Adaptively Robust and Sparse $K$-means Clustering	✅	✅	✅	❌	❌	❌	✅	4
Addressing Attribute Bias with Adversarial Support-Matching	✅	✅	✅	✅	❌	❌	✅	5
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models	✅	✅	✅	❌	❌	❌	✅	4
Adversarial Imitation Learning from Visual Observations using Latent Information	✅	✅	✅	❌	❌	❌	✅	4
Adversarially Robust Spiking Neural Networks Through Conversion	✅	✅	✅	✅	✅	✅	✅	7
Affordable Generative Agents	❌	✅	✅	❌	❌	❌	✅	3
AmbientFlow: Invertible generative models from incomplete, noisy measurements	❌	✅	✅	✅	✅	❌	✅	5
Amortized Bayesian Decision Making for simulation-based models	✅	✅	✅	✅	✅	❌	✅	6
An Attentive Approach for Building Partial Reasoning Agents from Pixels	✅	✅	✅	✅	❌	❌	✅	5
An Improved Federated Clustering Algorithm with Model-based Clustering	✅	❌	✅	✅	✅	❌	✅	5
An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces	✅	✅	✅	❌	❌	❌	✅	4
An optimal control perspective on diffusion-based generative modeling	✅	✅	❌	❌	✅	❌	✅	4
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning	❌	✅	✅	❌	❌	❌	❌	2
Analyzing the Impact of Learnable Softmax Temperature in Contrastive Visual-Textual Alignment Systems: Benefits, Drawbacks, and Alternative Approaches	✅	✅	✅	✅	✅	❌	✅	6
Anomaly detection with semi-supervised classification based on risk estimators	❌	❌	✅	✅	❌	❌	✅	3
Anticipatory Music Transformer	✅	✅	✅	✅	✅	❌	✅	6
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks	❌	✅	✅	❌	✅	❌	✅	4
Application of Bagged Copula-GP: Confirming Neural Dependency on Pupil Dilation	✅	✅	✅	✅	✅	✅	✅	7
Appropriate Balance of Diversification and Intensification Improves Performance and Efficiency of Adversarial Attacks	✅	❌	✅	✅	✅	❌	✅	5
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection	✅	✅	✅	❌	❌	❌	✅	4
Archetypal Analysis++: Rethinking the Initialization Strategy	✅	✅	✅	❌	✅	❌	✅	5
Are Population Graphs Really as Powerful as Believed?	❌	✅	✅	✅	✅	❌	✅	5
Are you using test log-likelihood correctly?	❌	❌	❌	✅	❌	❌	✅	2
As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters	❌	✅	✅	✅	✅	❌	✅	5
Assessing Robustness via Score-Based Adversarial Image Generation	✅	❌	✅	✅	✅	❌	✅	5
Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks	✅	✅	✅	❌	❌	❌	✅	4
Asynchronous Training Schemes in Distributed Learning with Time Delay	✅	❌	✅	❌	✅	❌	✅	4
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Attending to Graph Transformers	❌	✅	✅	✅	✅	❌	✅	5
Attention Normalization Impacts Cardinality Generalization in Slot Attention	✅	✅	✅	✅	❌	❌	✅	5
Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data	✅	❌	✅	✅	✅	❌	✅	5
Audio-Visual Dataset Distillation	✅	✅	✅	✅	✅	❌	✅	6
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness	✅	✅	✅	✅	✅	✅	✅	7
Augmenting Ad-Hoc IR Dataset for Interactive Conversational Search	✅	❌	✅	✅	✅	❌	✅	5
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models	✅	✅	✅	✅	✅	✅	✅	7
AutoDocSegmenter: A Geometric Approach towards Self-Supervised Document Segmentation	✅	✅	✅	✅	❌	❌	✅	5
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks	❌	❌	❌	❌	❌	❌	❌	0
Autoencoding Hyperbolic Representation for Adversarial Generation	❌	❌	✅	✅	❌	❌	✅	3
Automated Design of Metaheuristic Algorithms: A Survey	❌	❌	❌	❌	❌	❌	❌	0
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach	✅	✅	✅	✅	❌	❌	✅	5
BBCaL: Black-box Backdoor Detection under the Causality Lens	✅	❌	✅	✅	✅	❌	✅	5
BP($\mathbf{\lambda}$): Online Learning via Synthetic Gradients	✅	✅	✅	❌	✅	❌	✅	5
BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework	✅	❌	✅	❌	✅	❌	✅	4
Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithms	✅	❌	❌	❌	✅	✅	✅	4
Bandits with Mean Bounds	✅	❌	✅	❌	❌	❌	✅	3
Bayesian Computation Meets Topology	✅	✅	❌	❌	❌	❌	✅	3
Bayesian Quantification with Black-Box Estimators	❌	✅	✅	✅	✅	✅	✅	6
Bayesian optimization with derivatives acceleration	✅	❌	❌	❌	❌	❌	✅	2
Best-of-Both-Worlds Linear Contextual Bandits	✅	❌	❌	❌	❌	❌	❌	1
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models	✅	❌	✅	✅	✅	❌	✅	5
Beyond Labeling Oracles - What does it mean to steal ML models?	❌	❌	✅	✅	❌	❌	✅	3
Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization	❌	✅	✅	✅	❌	❌	✅	4
Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks	✅	❌	✅	❌	❌	✅	✅	4
Bias Amplification Enhances Minority Group Performance	✅	✅	✅	✅	❌	❌	✅	5
Bias/Variance is not the same as Approximation/Estimation	❌	✅	❌	✅	❌	❌	❌	2
Biased Dueling Bandits with Stochastic Delayed Feedback	✅	❌	✅	❌	❌	❌	✅	3
Bit-by-Bit: Investigating the Vulnerabilities of Binary Neural Networks to Adversarial Bit Flipping	✅	✅	✅	❌	❌	❌	✅	4
Blending Two Styles: Generating Inter-domain Images with MiddleGAN	❌	❌	✅	✅	✅	❌	✅	4
Blind Biological Sequence Denoising with Self-Supervised Set Learning	❌	❌	❌	✅	❌	❌	✅	2
Blockwise Self-Supervised Learning at Scale	✅	✅	✅	❌	❌	❌	✅	4
Boomerang: Local sampling on image manifolds using diffusion models	✅	✅	✅	❌	✅	❌	✅	5
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration	✅	❌	✅	✅	✅	❌	✅	5
Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals	❌	✅	✅	✅	✅	❌	✅	5
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks	✅	❌	✅	✅	❌	❌	✅	4
Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction	✅	✅	✅	❌	✅	❌	✅	5
Budgeted Online Model Selection and Fine-Tuning via Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
Bytes Are All You Need: Transformers Operating Directly On File Bytes	❌	✅	✅	✅	✅	❌	✅	5
Byzantine-Resilient Decentralized Multi-Armed Bandits	✅	❌	❌	❌	❌	❌	✅	2
C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning	✅	❌	✅	❌	✅	❌	✅	4
CAREER: A Foundation Model for Labor Sequence Data	❌	✅	✅	✅	❌	❌	✅	4
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder	❌	✅	✅	❌	✅	❌	✅	4
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement	❌	❌	✅	✅	✅	❌	✅	4
CLIP-QDA: An Explainable Concept Bottleneck Model	❌	❌	✅	❌	❌	❌	✅	2
CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark	❌	✅	✅	✅	✅	✅	✅	6
CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
CREW: Facilitating Human-AI Teaming Research	✅	✅	❌	❌	✅	✅	✅	5
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction	✅	✅	✅	❌	✅	❌	✅	5
Calibrating Deep Ensemble through Functional Variational Inference	✅	✅	✅	✅	❌	❌	✅	5
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence	✅	✅	✅	✅	✅	❌	✅	6
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?	❌	✅	✅	✅	❌	❌	✅	4
Can We Count on LLMs? The Fixed-Effect Fallacy and Claims of GPT-4 Capabilities	❌	✅	✅	❌	❌	❌	✅	3
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder	❌	✅	✅	✅	✅	❌	✅	5
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration	❌	✅	✅	✅	✅	❌	✅	5
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality	❌	✅	✅	❌	❌	❌	✅	3
Certified Deductive Reasoning with Language Models	❌	✅	✅	✅	✅	❌	✅	5
Certified Robustness against Sparse Adversarial Perturbations via Data Localization	❌	❌	✅	❌	❌	❌	✅	2
Chain-of-Thought Unfaithfulness as Disguised Accuracy	❌	✅	✅	✅	✅	❌	✅	5
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions	❌	✅	✅	✅	❌	❌	✅	4
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization	✅	❌	✅	✅	✅	❌	✅	5
Choosing the parameter of the Fermat distance: navigating geometry and noise	❌	❌	✅	❌	❌	❌	✅	2
Chronos: Learning the Language of Time Series	✅	✅	✅	❌	✅	❌	✅	5
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery	✅	✅	✅	✅	✅	❌	✅	6
Class-Discriminative Attention Maps for Vision Transformers	❌	✅	✅	✅	❌	❌	✅	4
Closing the gap between SVRG and TD-SVRG with Gradient Splitting	✅	✅	✅	❌	❌	❌	✅	4
CoDeC: Communication-Efficient Decentralized Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making	❌	✅	✅	❌	❌	❌	✅	3
Cognitive Architectures for Language Agents	❌	❌	❌	❌	❌	❌	❌	0
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection	✅	✅	✅	✅	❌	❌	❌	4
Comparing Deterministic and Soft Policy Gradients for Optimizing Gaussian Mixture Actors	✅	✅	✅	❌	✅	✅	✅	6
CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion	❌	✅	✅	✅	✅	❌	✅	5
Compositional Instruction Following with Language Models and Reinforcement Learning	❌	❌	✅	✅	❌	❌	✅	3
Compressing the Activation Maps in Deep Convolutional Neural Networks and Its Regularizing Effect	❌	✅	✅	✅	✅	✅	✅	6
Concept-Driven Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
Conciliator steering: Imposing user preference in multi-objective reinforcement learning	✅	✅	✅	❌	✅	✅	✅	6
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning	✅	✅	✅	✅	❌	❌	✅	5
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness	✅	❌	✅	✅	✅	❌	✅	5
Conservative Evaluation of Offline Policy Learning	✅	❌	✅	✅	❌	❌	✅	4
Conservative Prediction via Data-Driven Confidence Minimization	✅	❌	✅	✅	✅	❌	✅	5
ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation	❌	❌	✅	✅	✅	❌	✅	4
Constraining Generative Models for Engineering Design with Negative Data	✅	✅	✅	❌	❌	❌	✅	4
Contaminated Online Convex Optimization	✅	❌	❌	❌	✅	✅	✅	4
Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations	✅	❌	❌	❌	✅	❌	✅	3
Continual Adaptation of Vision Transformers for Federated Learning	✅	✅	✅	✅	✅	❌	✅	6
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA	❌	❌	✅	❌	✅	❌	✅	3
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning	✅	❌	✅	❌	❌	❌	✅	3
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems	✅	✅	✅	✅	✅	❌	✅	6
Continual Learning: Applications and the Road Forward	❌	❌	❌	❌	❌	❌	❌	0
Continuous U-Net: Faster, Greater and Noiseless	❌	❌	✅	✅	❌	❌	✅	3
Contrastive Class Anchor Learning for Open Set Object Recognition in Driving Scenes	❌	✅	✅	✅	❌	❌	✅	4
Contrastive Graph Autoencoder for Shape-based Polygon Retrieval from Large Geometry Datasets	✅	✅	✅	✅	❌	❌	✅	5
Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps	✅	❌	✅	✅	✅	❌	✅	5
Contrastive Learning with Consistent Representations	✅	✅	✅	✅	✅	❌	✅	6
Controlling Federated Learning for Covertness	✅	✅	✅	✅	❌	❌	✅	5
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density	✅	❌	✅	❌	❌	❌	✅	3
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel’s Spectrum	✅	❌	❌	❌	❌	❌	❌	1
Convergence Analysis and Trajectory Comparison of Gradient Descent for Overparameterized Deep Linear Networks	❌	❌	❌	❌	❌	❌	✅	1
Convergence Analysis of Fractional Gradient Descent	❌	❌	❌	❌	❌	❌	✅	1
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training	✅	❌	❌	❌	❌	❌	❌	1
Cooperative Online Learning with Feedback Graphs	✅	✅	❌	❌	✅	❌	✅	4
Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings	❌	✅	✅	✅	✅	❌	✅	5
Correcting Flaws in Common Disentanglement Metrics	❌	✅	✅	✅	✅	❌	✅	5
Corrective Machine Unlearning	❌	❌	✅	✅	✅	❌	✅	4
Correlation Clustering with Active Learning of Pairwise Similarities	✅	❌	✅	❌	❌	❌	✅	3
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints	✅	✅	✅	✅	✅	❌	✅	6
Credal Bayesian Deep Learning	✅	✅	✅	✅	❌	❌	✅	5
DDLP: Unsupervised Object-centric Video Prediction with Deep Dynamic Latent Particles	✅	✅	✅	✅	✅	❌	✅	6
DFML: Decentralized Federated Mutual Learning	✅	❌	✅	✅	❌	❌	✅	4
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity	❌	✅	✅	✅	❌	❌	✅	4
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee	✅	❌	✅	✅	✅	✅	✅	6
DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation	❌	❌	✅	✅	✅	❌	✅	4
DINOv2: Learning Robust Visual Features without Supervision	❌	✅	✅	✅	✅	✅	✅	6
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis	✅	✅	✅	✅	✅	❌	✅	6
DSI2I: Dense Style for Unpaired Exemplar-based Image-to- Image Translation	❌	✅	✅	❌	❌	❌	✅	3
DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation	❌	❌	✅	✅	❌	❌	✅	3
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation	✅	❌	✅	❌	✅	❌	✅	4
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification	❌	❌	✅	✅	✅	❌	✅	4
Data Valuation in the Absence of a Reliable Validation Set	❌	❌	✅	✅	❌	❌	✅	3
Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion	✅	✅	✅	✅	✅	✅	✅	7
Data-Dependent Generalization Bounds for Neural Networks with ReLU	❌	❌	✅	✅	❌	❌	✅	3
Dataset Distillation via Curriculum Data Synthesis in Large Data Era	✅	✅	✅	✅	✅	❌	✅	6
Decentralized Decoupled Training for Federated Long-Tailed Learning	✅	✅	✅	✅	✅	❌	✅	6
Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry.	❌	❌	❌	❌	❌	❌	❌	0
Deconfounding Imitation Learning with Variational Inference	✅	❌	✅	❌	❌	✅	✅	4
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks	❌	✅	✅	❌	❌	❌	✅	3
Deep Backtracking Counterfactuals for Causally Compliant Explanations	✅	✅	✅	✅	❌	❌	✅	5
Deep End-to-end Causal Inference	❌	✅	✅	✅	❌	❌	✅	4
Deep Generalized Prediction Set Classifier and Its Theoretical Guarantees	❌	❌	✅	✅	❌	❌	✅	3
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions	❌	❌	✅	❌	❌	❌	❌	1
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections	❌	✅	✅	❌	❌	❌	✅	3
Deep Kernel Learning of Nonlinear Latent Force Models	✅	❌	✅	✅	✅	❌	✅	5
Deep Tabular Learning via Distillation and Language Guidance	❌	✅	✅	✅	❌	✅	✅	5
Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting	✅	✅	✅	✅	✅	❌	✅	6
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs	❌	❌	✅	✅	✅	❌	✅	4
DeepReShape: Redesigning Neural Networks for Efficient Private Inference	✅	❌	✅	✅	✅	✅	✅	6
Defending Against Unknown Corrupted Agents: Reinforcement Learning of Adversarially Robust Nash Equilibria	✅	❌	✅	❌	✅	❌	✅	4
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations	❌	✅	✅	✅	✅	❌	✅	5
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning	❌	✅	✅	✅	❌	❌	✅	4
Demonstration-Guided Multi-Objective Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Dependency Structure Search Bayesian Optimization for Decision Making Models	✅	✅	✅	❌	❌	✅	✅	5
Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior	❌	✅	✅	✅	❌	❌	✅	4
Differential Equation Scaling Limits of Shaped and Unshaped Neural Networks	❌	❌	❌	❌	❌	❌	✅	1
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation	✅	✅	✅	❌	✅	✅	✅	6
Differentially Private Latent Diffusion Models	✅	✅	✅	✅	✅	❌	✅	6
Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting	✅	✅	✅	❌	✅	❌	✅	5
Diffusion Models with Deterministic Normalizing Flow Priors	❌	✅	✅	❌	✅	❌	✅	4
Directed Graph Transformers	❌	✅	✅	✅	✅	❌	✅	5
Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks	❌	❌	❌	❌	❌	❌	✅	1
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners	✅	❌	✅	✅	✅	❌	✅	5
Disciplined Saddle Programming	❌	✅	✅	❌	❌	❌	✅	3
Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization	✅	✅	✅	❌	✅	❌	✅	5
Discrete Graph Auto-Encoder	❌	✅	✅	✅	✅	❌	✅	5
Discriminative reconstruction via simultaneous dense and sparse coding	❌	✅	✅	✅	❌	❌	✅	4
Distributional GFlowNets with Quantile Flows	✅	✅	✅	❌	✅	❌	✅	5
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits	✅	✅	✅	✅	❌	❌	✅	5
Diversity-Preserving $K$--Armed Bandits, Revisited	✅	❌	❌	❌	❌	❌	✅	2
Do Parameters Reveal More than Loss for Membership Inference?	❌	✅	✅	❌	❌	❌	✅	3
Do not trust what you trust: Miscalibration in Semisupervised Learning	❌	✅	✅	✅	✅	❌	✅	5
Does Representation Similarity Capture Function Similarity?	❌	❌	✅	✅	❌	❌	✅	3
Domain-Generalizable Multiple-Domain Clustering	❌	✅	✅	✅	✅	❌	✅	5
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers	❌	✅	✅	✅	✅	❌	✅	5
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects	❌	✅	✅	❌	❌	❌	✅	3
DrGNN: Deep Residual Graph Neural Network with Contrastive Learning	❌	✅	✅	✅	✅	❌	✅	5
Dual-windowed Vision Transformer with Angular Self- Attention	❌	✅	✅	✅	✅	❌	✅	5
DyG2Vec: Efficient Representation Learning for Dynamic Graphs	❌	✅	✅	✅	✅	❌	✅	5
DynaConF: Dynamic Forecasting of Non-Stationary Time Series	❌	✅	✅	✅	✅	❌	✅	5
Dynamic Online Ensembles of Basis Expansions	❌	✅	✅	✅	❌	❌	✅	4
Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums	✅	❌	✅	❌	✅	✅	✅	5
E(n)-equivariant Graph Neural Cellular Automata	❌	✅	✅	✅	✅	❌	✅	5
E-Valuating Classifier Two-Sample Tests	✅	❌	✅	✅	✅	✅	✅	6
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text	❌	✅	✅	✅	✅	❌	✅	5
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval	✅	❌	✅	✅	❌	❌	✅	4
EHRDiff : Exploring Realistic EHR Synthesis with Diffusion Models	✅	✅	✅	✅	❌	❌	✅	5
Effective Latent Differential Equation Models via Attention and Multiple Shooting	❌	❌	✅	✅	❌	✅	✅	4
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty	✅	❌	✅	❌	❌	❌	✅	3
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing	✅	❌	✅	✅	✅	❌	✅	5
Efficient Large Language Models: A Survey	❌	❌	❌	❌	❌	❌	❌	0
Efficient Model-Agnostic Multi-Group Equivariant Networks	❌	✅	✅	✅	✅	❌	✅	5
Efficient Parallelized Simulation of Cyber-Physical Systems	✅	✅	❌	❌	✅	❌	✅	4
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World	✅	✅	✅	✅	✅	❌	✅	6
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm	✅	❌	✅	✅	❌	❌	✅	4
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training	❌	✅	✅	✅	❌	❌	✅	4
Enhancing Compositional Generalization via Compositional Feature Alignment	❌	✅	✅	✅	✅	❌	✅	5
Enhancing Contrastive Clustering with Negative Pair-guided Regularization	✅	✅	✅	❌	✅	❌	✅	5
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo	✅	✅	✅	❌	❌	❌	✅	4
Enhancing Robustness to Class-Conditional Distribution Shift in Long-Tailed Recognition	✅	❌	✅	✅	✅	❌	✅	5
Enhancing Vision-Language Model with Unmasked Token Alignment	❌	❌	✅	❌	❌	❌	✅	2
Equivariant Graph Learning for High-density Crowd Trajectories Modeling	❌	✅	✅	✅	✅	❌	✅	5
Equivariant Graph Network Approximations of High-Degree Polynomials for Force Field Prediction	✅	✅	✅	✅	✅	✅	✅	7
Equivariant Symmetry Breaking Sets	✅	✅	❌	❌	❌	✅	✅	4
Error Bounds for Flow Matching Methods	❌	❌	❌	❌	❌	❌	❌	0
Estimating Optimal Policy Value in Linear Contextual Bandits Beyond Gaussianity	✅	❌	✅	✅	✅	❌	✅	5
Estimating class separability of text embeddings with persistent homology.	❌	❌	✅	✅	❌	✅	✅	4
Evaluating Graph Generative Models with Graph Kernels: What Structural Characteristics Are Captured?	❌	✅	✅	❌	✅	❌	✅	4
Evaluating Spatial Understanding of Large Language Models	❌	✅	✅	❌	❌	❌	✅	3
Evaluating the Evaluators: Are Validation Methods for Few-Shot Learning Fit for Purpose?	❌	✅	✅	✅	❌	❌	❌	3
Exact Fractional Inference via Re-Parametrization \& Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms	✅	✅	✅	❌	❌	❌	✅	4
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation	❌	✅	✅	✅	❌	✅	✅	5
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation	❌	✅	✅	✅	❌	❌	✅	4
Exploiting Edge Features in Graph-based Learning with Fused Network Gromov-Wasserstein Distance	✅	✅	✅	✅	✅	❌	✅	6
Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices	✅	✅	✅	✅	✅	❌	✅	6
Exploring Format Consistency for Instruction Tuning	❌	✅	✅	✅	❌	❌	✅	4
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection	✅	✅	✅	✅	✅	❌	✅	6
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization	✅	✅	✅	✅	❌	❌	✅	5
Exploring validation metrics for offline model-based optimisation with diffusion models	✅	✅	✅	✅	✅	❌	✅	6
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits	❌	❌	✅	✅	❌	❌	✅	3
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web	✅	✅	✅	✅	✅	✅	✅	7
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models	✅	✅	✅	✅	❌	❌	✅	5
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking	✅	✅	✅	✅	✅	❌	✅	6
Extended Deep Submodular Functions	✅	✅	❌	✅	❌	❌	✅	4
Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework	✅	✅	✅	✅	❌	❌	✅	5
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory	✅	❌	✅	❌	❌	❌	✅	3
FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels	✅	❌	✅	✅	❌	❌	✅	4
Fair Feature Importance Scores for Interpreting Decision Trees	❌	❌	✅	❌	❌	❌	❌	1
Fair Representation in Submodular Subset Selection: A Pareto Optimization Approach	✅	✅	✅	❌	✅	❌	✅	5
Fairness Under Demographic Scarce Regime	❌	✅	✅	✅	❌	❌	✅	4
Fast Computation of Leave-One-Out Cross-Validation for $k$-NN Regression	❌	✅	✅	✅	✅	❌	✅	5
Fast Training of Diffusion Models with Masked Transformers	❌	✅	✅	❌	✅	❌	✅	4
Fast and Effective Weight Update for Pruned Large Language Models	✅	✅	✅	✅	✅	❌	✅	6
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder	❌	✅	✅	✅	❌	❌	✅	4
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings	✅	✅	✅	❌	✅	✅	✅	6
Faster Convergence of Local SGD for Over-Parameterized Models	✅	❌	✅	✅	❌	❌	✅	4
Faster optimal univariate microaggregation	✅	✅	✅	❌	❌	❌	✅	4
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models	✅	✅	✅	✅	✅	❌	✅	6
Feature Distillation Improves Zero-Shot Transfer from Synthetic Images	❌	❌	✅	✅	❌	❌	✅	3
Feature learning as alignment: a structural property of gradient descent in non-linear neural networks	❌	✅	✅	❌	✅	❌	✅	4
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning	❌	✅	✅	✅	✅	❌	✅	5
Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation	✅	❌	✅	❌	❌	❌	✅	3
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls	✅	✅	✅	✅	❌	❌	✅	5
Federated Graph Learning with Graphless Clients	✅	✅	✅	✅	❌	❌	✅	5
Federated Learning with Convex Global and Local Constraints	✅	✅	✅	✅	✅	❌	✅	6
Federated Learning with Reduced Information Leakage and Computation	✅	✅	✅	✅	✅	✅	✅	7
Federated Sampling with Langevin Algorithm under Isoperimetry	✅	❌	❌	❌	❌	❌	✅	2
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity	✅	❌	❌	❌	❌	❌	✅	2
Federated Variational Inference: Towards Improved Personalization and Generalization	✅	❌	✅	✅	✅	❌	✅	5
Feedback-guided Data Synthesis for Imbalanced Classification	❌	✅	✅	✅	✅	❌	✅	5
Feudal Graph Reinforcement Learning	❌	✅	✅	❌	✅	❌	✅	4
Fine-tuning can cripple your foundation model; preserving features may be the solution	❌	❌	✅	✅	✅	❌	✅	4
Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm	✅	❌	❌	❌	❌	❌	❌	1
Finite-Time Analysis of Temporal Difference Learning with Experience Replay	✅	❌	❌	❌	❌	❌	❌	1
Fixed Budget Best Arm Identification in Unimodal Bandits	✅	✅	❌	❌	❌	❌	✅	3
Fixed-Budget Best-Arm Identification in Sparse Linear Bandits	✅	✅	✅	❌	✅	✅	✅	6
FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation	❌	❌	✅	❌	✅	❌	✅	3
Fooling Contrastive Language-Image Pre-Trained Models with CLIPMasterPrints	✅	✅	✅	✅	❌	❌	✅	5
For Robust Worst-Group Accuracy, Ignore Group Annotations	✅	❌	✅	✅	❌	❌	✅	4
Foundational Challenges in Assuring Alignment and Safety of Large Language Models	❌	❌	❌	❌	❌	❌	❌	0
From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford Algebra and Convexity	❌	❌	✅	❌	❌	❌	✅	2
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond	❌	❌	✅	✅	❌	❌	❌	2
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models	✅	❌	✅	❌	❌	❌	❌	2
From Differential Privacy to Bounds on Membership Inference: Less can be More	❌	✅	✅	❌	❌	❌	❌	2
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling	❌	❌	✅	❌	❌	❌	❌	1
From Persona to Personalization: A Survey on Role-Playing Language Agents	❌	❌	✅	❌	❌	❌	❌	1
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression	❌	❌	❌	✅	❌	❌	✅	2
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance	❌	✅	✅	✅	❌	❌	✅	4
Function Basis Encoding of Numerical Features in Factorization Machines	❌	✅	✅	✅	❌	❌	✅	4
Functional Linear Regression of Cumulative Distribution Functions	❌	❌	✅	✅	❌	❌	✅	3
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?	❌	✅	✅	❌	✅	❌	✅	4
G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data	✅	✅	✅	✅	✅	✅	✅	7
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data	✅	❌	✅	❌	✅	❌	✅	4
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models	✅	❌	✅	❌	✅	❌	✅	4
GSURE-Based Diffusion Model Training with Corrupted Data	❌	✅	✅	✅	❌	❌	❌	3
GUARD: A Safe Reinforcement Learning Benchmark	❌	✅	❌	❌	✅	❌	✅	3
Gaussian-Smoothed Sliced Probability Divergences	❌	❌	✅	❌	❌	❌	✅	2
Generalization Bounds with Logarithmic Negative-Sample Dependence for Adversarial Contrastive Learning	❌	❌	✅	✅	❌	❌	✅	3
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory: Application in Regression	✅	❌	✅	❌	❌	❌	❌	2
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields	✅	✅	✅	✅	✅	❌	✅	6
Generalizing Neural Additive Models via Statistical Multimodal Analysis	✅	✅	✅	✅	❌	❌	✅	5
Generating Less Certain Adversarial Examples Improves Robust Generalization	❌	✅	✅	✅	✅	❌	✅	5
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models	❌	✅	✅	✅	✅	✅	✅	6
Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation	✅	❌	✅	❌	❌	❌	✅	3
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies	❌	❌	✅	✅	✅	✅	✅	5
Geometrical aspects of lattice gauge equivariant convolutional neural networks	❌	❌	❌	❌	❌	❌	❌	0
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries	✅	✅	✅	❌	✅	❌	✅	5
Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets	❌	✅	✅	✅	❌	❌	✅	4
Gradient Scarcity in Graph Learning with Bilevel Optimization	❌	✅	✅	✅	❌	❌	✅	4
Gradient-guided discrete walk-jump sampling for biological sequence generation	✅	✅	✅	✅	✅	✅	✅	7
Granger Causal Interaction Skill Chains	✅	❌	✅	❌	❌	❌	✅	3
Graph Cuts with Arbitrary Size Constraints Through Optimal Transport	✅	✅	✅	❌	✅	❌	✅	5
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data	✅	✅	✅	❌	❌	❌	✅	4
Graph Knowledge Distillation to Mixture of Experts	❌	✅	✅	✅	✅	❌	✅	5
Graph Neural Networks Formed via Layer-wise Ensembles of Heterogeneous Base Models	✅	❌	✅	✅	✅	❌	✅	5
Graph Pooling via Ricci Flow	❌	❌	✅	✅	✅	❌	✅	4
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective	❌	❌	❌	❌	❌	❌	❌	0
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?	❌	❌	✅	✅	✅	❌	✅	4
GraphPrivatizer: Improved Structural Differential Privacy for Graph Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Graphon-Explainer: Generating Model-Level Explanations for Graph Neural Networks using Graphons	✅	✅	✅	❌	❌	❌	✅	4
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models	✅	❌	✅	✅	❌	❌	✅	4
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building	✅	❌	✅	❌	✅	❌	✅	4
Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity	✅	✅	❌	❌	❌	❌	✅	3
Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space	✅	✅	✅	❌	❌	❌	✅	4
Group Fairness in Reinforcement Learning via Multi-Objective Rewards	❌	✅	❌	❌	❌	❌	✅	2
Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally	✅	✅	✅	❌	❌	✅	✅	5
Guarantees of confidentiality via Hammersley-Chapman-Robbins bounds	✅	✅	✅	✅	❌	❌	✅	5
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes	❌	✅	✅	✅	❌	❌	✅	4
Harnessing the Power of Federated Learning in Federated Contextual Bandits	✅	✅	✅	❌	❌	❌	✅	4
Hashing with Uncertainty Quantification via Sampling-based Hypothesis Testing	❌	✅	✅	✅	❌	✅	✅	5
Hessian Free Efficient Single Loop Iterative Differentiation Methods for Bi-Level Optimization Problems	✅	✅	✅	✅	✅	❌	✅	6
Heterogeneous graph adaptive flow network	✅	✅	✅	❌	❌	❌	✅	4
HiFE: Hierarchical Feature Ensemble Framework for Few-shot Hypotheses Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Hierarchical Neural Simulation-Based Inference Over Event Ensembles	❌	❌	❌	✅	❌	❌	✅	2
Hierarchical VAE with a Diffusion-based VampPrior	✅	✅	✅	❌	✅	❌	✅	5
Hierarchically branched diffusion models leverage dataset structure for class-conditional generation	✅	❌	✅	❌	✅	❌	✅	4
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy	✅	✅	✅	✅	❌	❌	✅	5
Holistic Molecular Representation Learning via Multi-view Fragmentation	❌	❌	✅	✅	✅	❌	✅	4
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning	✅	✅	✅	✅	✅	✅	✅	7
How Far Are We From AGI: Are LLMs All We Need?	❌	✅	❌	❌	❌	❌	❌	1
How Much Pre-training Is Enough to Discover a Good Subnetwork?	✅	❌	✅	✅	✅	❌	✅	5
How does over-squashing affect the power of GNNs?	❌	❌	✅	❌	❌	❌	✅	2
How good is Good-Turing for Markov samples?	❌	❌	✅	❌	❌	❌	✅	2
How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up	✅	✅	✅	✅	❌	❌	✅	5
How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning	❌	✅	✅	✅	❌	❌	✅	4
Hybrid Active Learning with Uncertainty-Weighted Embeddings	✅	❌	✅	✅	❌	❌	✅	4
Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation	✅	❌	✅	✅	❌	❌	✅	4
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access	❌	✅	✅	✅	✅	❌	✅	5
Hyperbolic Random Forests	❌	❌	✅	✅	❌	❌	✅	3
Hyperspherical Prototype Node Clustering	❌	❌	✅	❌	❌	✅	✅	3
IM-Context: In-Context Learning for Imbalanced Regression Tasks	❌	✅	✅	✅	✅	❌	✅	5
IMEX-Reg: Implicit-Explicit Regularization in the Function Space for Continual Learning	✅	✅	✅	✅	✅	❌	✅	6
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks	❌	❌	✅	✅	✅	❌	✅	4
INSPIRE: Incorporating Diverse Feature Preferences in Recourse	✅	✅	✅	✅	✅	❌	✅	6
IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding	✅	❌	✅	✅	✅	❌	✅	5
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation	❌	❌	✅	✅	✅	❌	✅	4
Identifiable Causal Inference with Noisy Treatment and No Side Information	✅	✅	✅	✅	❌	❌	✅	5
Identify Ambiguous Tasks Combining Crowdsourced Labels by Weighting Areas Under the Margin	✅	✅	✅	✅	✅	❌	✅	6
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis	✅	❌	✅	✅	❌	❌	✅	4
Image Reconstruction via Deep Image Prior Subspaces	✅	✅	✅	❌	✅	❌	✅	5
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction	✅	❌	✅	❌	✅	❌	✅	4
Implicit Regularization of AdaDelta	✅	❌	✅	❌	❌	❌	✅	3
Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability	❌	❌	✅	✅	✅	❌	✅	4
Improved Convergence of Score-Based Diffusion Models via Prediction-Correction	❌	❌	❌	❌	❌	❌	❌	0
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization	✅	❌	❌	❌	❌	❌	❌	1
Improved Variational Bayesian Phylogenetic Inference using Mixtures	❌	✅	✅	❌	✅	❌	✅	4
Improved motif-scaffolding with SE(3) flow matching	✅	✅	✅	❌	✅	❌	✅	5
Improving Black-box Robustness with In-Context Rewriting	❌	✅	✅	✅	❌	❌	✅	4
Improving Diffusion Models for Scene Text Editing with Dual Encoders	❌	✅	✅	✅	✅	❌	✅	5
Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds	✅	❌	✅	✅	✅	❌	✅	5
Improving Predictor Reliability with Selective Recalibration	❌	❌	✅	✅	❌	❌	✅	3
Improving Robust Generalization with Diverging Spanned Latent Space	✅	❌	✅	✅	✅	✅	✅	6
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings	✅	✅	✅	✅	✅	❌	✅	6
Improving Text-to-Image Consistency via Automatic Prompt Optimization	❌	❌	✅	✅	✅	✅	✅	5
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families	✅	✅	✅	❌	❌	❌	✅	4
Improving and generalizing flow-based generative models with minibatch optimal transport	✅	✅	✅	✅	✅	❌	✅	6
In-context Learning with Retrieved Demonstrations for Language Models: A Survey	❌	❌	❌	❌	❌	❌	❌	0
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers	❌	✅	✅	✅	✅	❌	✅	5
Incorporating Inductive Biases to Energy-based Generative Models	❌	❌	✅	❌	❌	❌	✅	2
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel	✅	✅	✅	❌	❌	❌	✅	4
Incorporating Unlabelled Data into Bayesian Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Incremental Extractive Opinion Summarization Using Cover Trees	✅	✅	✅	❌	✅	❌	✅	5
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs	✅	✅	❌	✅	✅	❌	✅	5
Independence Testing for Temporal Data	✅	❌	✅	❌	❌	❌	✅	3
Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits	✅	❌	✅	❌	❌	❌	✅	3
InduCE: Inductive Counterfactual Explanations for Graph Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Inductive Global and Local Manifold Approximation and Projection	✅	✅	✅	✅	❌	❌	✅	5
Inference from Real-World Sparse Measurements	❌	❌	✅	✅	✅	❌	✅	4
InfoNCE is variational inference in a recognition parameterised model	❌	❌	❌	❌	❌	❌	✅	1
Input Normalized Stochastic Gradient Descent Training for Deep Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes	❌	❌	✅	✅	❌	✅	✅	4
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters	❌	✅	✅	✅	✅	✅	✅	6
Interpretable Additive Tabular Transformer Networks	❌	❌	✅	✅	❌	❌	✅	3
Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts	❌	❌	✅	✅	❌	❌	✅	3
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition	❌	❌	✅	✅	❌	❌	✅	3
Intriguing Properties of Hyperbolic Embeddings in Vision-Language Models	❌	✅	✅	✅	❌	❌	✅	4
Introducing "Forecast Utterance" for Conversational Data Science	✅	✅	✅	✅	✅	❌	✅	6
Introspective Experience Replay: Look Back When Surprised	✅	✅	✅	❌	✅	❌	✅	5
Invariance & Causal Representation Learning: Prospects and Limitations	❌	❌	❌	❌	❌	❌	❌	0
InvariantStock: Learning Invariant Features for Mastering the Shifting Market	✅	✅	❌	✅	✅	❌	✅	5
Inverse Kernel Decomposition	✅	✅	✅	✅	❌	❌	✅	5
Is Value Functions Estimation with Classification Plug-and- play for Offline Reinforcement Learning?	✅	✅	✅	❌	✅	❌	✅	5
Jigsaw Game: Federated Clustering	✅	❌	✅	✅	❌	❌	✅	4
KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning	✅	❌	❌	❌	❌	✅	✅	3
Kernel Normalized Convolutional Networks	✅	✅	✅	✅	✅	✅	✅	7
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting	❌	✅	✅	✅	❌	❌	✅	4
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning	✅	❌	✅	❌	✅	✅	✅	5
LEA: Learning Latent Embedding Alignment Model for fMRI Decoding and Encoding	❌	✅	✅	✅	❌	❌	✅	4
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability	✅	✅	✅	❌	❌	❌	✅	4
LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis	❌	✅	✅	✅	✅	❌	✅	5
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations	❌	✅	✅	✅	❌	❌	✅	4
Language Models Are Better Than Humans at Next-token Prediction	❌	✅	✅	❌	❌	❌	✅	3
Language Models Speed Up Local Search for Finding Programmatic Policies	✅	✅	✅	❌	✅	❌	✅	5
Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey	❌	✅	✅	❌	❌	❌	❌	2
Large Language Models Synergize with Automated Machine Learning	✅	✅	✅	✅	✅	❌	✅	6
Large Language Models can be Guided to Evade AI-generated Text Detection	✅	✅	✅	✅	❌	❌	✅	5
Large-width asymptotics and training dynamics of $\alpha$-Stable ReLU neural networks	❌	❌	❌	❌	❌	❌	✅	1
Layer-diverse Negative Sampling for Graph Neural Networks	✅	❌	✅	✅	✅	✅	✅	6
Layerwise complexity-matched learning yields an improved model of cortical area V2	❌	✅	✅	✅	❌	❌	✅	4
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations	✅	❌	✅	✅	✅	❌	✅	5
LeanVec: Searching vectors faster by making them fit	✅	❌	✅	✅	❌	❌	✅	4
Learned feature representations are biased by complexity, learning order, position, and more	❌	✅	❌	❌	❌	✅	✅	3
Learning $k$-Level Structured Sparse Neural Networks Using Group Envelope Regularization	✅	❌	✅	❌	✅	❌	✅	4
Learning Counterfactually Invariant Predictors	❌	❌	✅	✅	❌	❌	✅	3
Learning Hierarchical Relational Representations through Relational Convolutions	❌	✅	✅	✅	❌	❌	✅	4
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods	✅	✅	✅	✅	✅	❌	✅	6
Learning Network Granger causality using Graph Prior Knowledge	✅	❌	❌	✅	❌	❌	✅	3
Learning Sparse Graphs for Functional Regression using Graph-induced Operator-valued Kernels	✅	✅	✅	✅	✅	✅	✅	7
Learning State Reachability as a Graph in Translation Invariant Goal-based Reinforcement Learning Tasks	✅	✅	❌	❌	✅	❌	✅	4
Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics	❌	✅	❌	✅	✅	❌	✅	4
Learning Tree-Structured Composition of Data Augmentation	✅	✅	✅	✅	✅	❌	✅	6
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation	❌	✅	✅	✅	✅	❌	✅	5
Learning a Decision Tree Algorithm with Transformers	❌	✅	✅	✅	✅	❌	✅	5
Learning by Self-Explaining	✅	✅	✅	✅	❌	❌	✅	5
Learning from Natural Language Feedback	✅	✅	✅	✅	✅	✅	✅	7
Learning multi-modal generative models with permutation-invariant encoders and tighter variational objectives	✅	✅	✅	✅	✅	✅	✅	7
Learning the essential in less than 2k additional weights - a simple approach to improve image classification stability under corruptions	❌	❌	✅	✅	❌	❌	❌	2
Learning to Abstain From Uninformative Data	✅	✅	✅	✅	✅	✅	✅	7
Learning under Imitative Strategic Behavior with Unforeseeable Outcomes	❌	✅	✅	❌	❌	❌	✅	3
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs	✅	✅	✅	✅	✅	❌	✅	6
Let There be Direction in Hypergraph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation	❌	❌	✅	❌	❌	❌	✅	2
Leveraging Function Space Aggregation for Federated Learning at Scale	✅	❌	✅	✅	✅	❌	✅	5
Leveraging Task Structures for Improved Identifiability in Neural Network Representations	✅	✅	✅	❌	❌	❌	✅	4
Linear Bandits with Memory	✅	✅	❌	❌	❌	❌	✅	3
Linear Weight Interpolation Leads to Transient Performance Gains	❌	❌	✅	✅	❌	❌	✅	3
LoRA Learns Less and Forgets Less	❌	✅	✅	✅	✅	❌	✅	5
Locally Adaptive Federated Learning	✅	❌	✅	❌	❌	❌	✅	3
Lookahead Counterfactual Fairness	✅	✅	✅	✅	❌	❌	✅	5
Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning	✅	❌	✅	✅	✅	❌	✅	5
Lyra: Orchestrating Dual Correction in Automated Theorem Proving	✅	❌	✅	✅	❌	❌	✅	4
M$^3$PL: Identifying and Exploiting View Bias of Prompt Learning	❌	✅	✅	✅	✅	❌	✅	5
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
MC Layer Normalization for calibrated uncertainty in Deep Learning	✅	✅	✅	✅	✅	✅	✅	7
MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path	✅	❌	✅	❌	✅	❌	✅	4
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation	✅	❌	❌	❌	✅	❌	✅	3
MMD-Regularized Unbalanced Optimal Transport	✅	✅	✅	✅	✅	❌	✅	6
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments	✅	✅	✅	✅	✅	❌	✅	6
MUBen: Benchmarking the Uncertainty of Molecular Representation Models	❌	✅	✅	✅	✅	❌	✅	5
Making Translators Privacy-aware on the User's Side	✅	✅	✅	✅	❌	❌	❌	4
Manifold Contrastive Learning with Variational Lie Group Operators	✅	✅	✅	✅	✅	❌	✅	6
Mantis: Interleaved Multi-Image Instruction Tuning	❌	✅	✅	✅	✅	✅	✅	6
MaskBit: Embedding-free Image Generation via Bit Tokens	❌	✅	✅	✅	✅	❌	✅	5
MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning	✅	❌	✅	✅	✅	✅	✅	6
MaskOCR: Scene Text Recognition with Masked Vision-Language Pre-training	❌	❌	✅	✅	✅	❌	✅	4
Masked Autoencoders are PDE Learners	❌	✅	✅	✅	✅	❌	✅	5
Masked multi-prediction for multi-aspect anomaly detection	✅	❌	✅	✅	✅	❌	✅	5
Maximizing Global Model Appeal in Federated Learning	✅	✅	✅	✅	✅	✅	✅	7
Measuring Orthogonality in Representations of Generative Models	✅	✅	✅	✅	❌	❌	✅	5
Mechanistic Interpretability for AI Safety - A Review	✅	❌	❌	❌	❌	❌	❌	1
Membership Inference Attacks and Privacy in Topic Modeling	✅	✅	✅	✅	❌	❌	✅	5
Memorisation in Machine Learning: A Survey of Results	❌	❌	❌	❌	❌	❌	❌	0
Merging Text Transformer Models from Different Initializations	✅	✅	✅	✅	❌	❌	✅	5
Merging by Matching Models in Task Parameter Subspaces	✅	✅	✅	❌	✅	❌	✅	5
Meta Learning for Support Recovery of High-Dimensional Ising Models	❌	❌	✅	❌	❌	❌	✅	2
Meta-Learning Approach for Joint Multimodal Signals with Multimodal Iterative Adaptation	✅	✅	✅	✅	❌	❌	✅	5
Meta-Learning under Task Shift	✅	❌	✅	✅	❌	❌	✅	4
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape	❌	✅	✅	❌	✅	❌	✅	4
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures	❌	✅	✅	❌	❌	❌	✅	3
Mini-Batch Optimization of Contrastive Loss	✅	✅	✅	❌	✅	❌	✅	5
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark	❌	✅	✅	✅	❌	❌	✅	4
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference	✅	✅	✅	✅	✅	✅	✅	7
Mitigating Group Bias in Federated Learning: Beyond Local Fairness	✅	❌	✅	✅	❌	❌	✅	4
Mitigating Off-Policy Bias in Actor-Critic Methods with One-Step Q-learning: A Novel Correction Approach	✅	✅	✅	❌	❌	❌	✅	4
Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness	❌	✅	✅	✅	✅	❌	✅	5
Mixed Nash for Robust Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers	✅	✅	✅	✅	✅	❌	✅	6
Mixture of Latent Experts Using Tensor Products	❌	✅	✅	✅	❌	❌	✅	4
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection	❌	✅	✅	✅	✅	❌	✅	5
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning	✅	❌	✅	❌	✅	❌	✅	4
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries	✅	✅	✅	❌	❌	❌	✅	4
Models of human preference for learning reward functions	✅	✅	✅	✅	✅	✅	✅	7
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers	✅	✅	✅	✅	✅	❌	✅	6
Modular Federated Contrastive Learning with Twin Normalization for Resource-limited Clients	✅	❌	✅	❌	✅	✅	✅	5
Modular Quantization-Aware Training for 6D Object Pose Estimation	✅	✅	✅	✅	✅	❌	✅	6
Momentum-Based Policy Gradient with Second-Order Information	✅	✅	❌	❌	✅	❌	✅	4
More Agents Is All You Need	✅	✅	✅	❌	❌	❌	✅	4
Multi-Accurate CATE is Robust to Unknown Covariate Shifts	✅	✅	✅	✅	❌	✅	✅	6
Multi-Fidelity Active Learning with GFlowNets	✅	✅	✅	✅	❌	✅	✅	6
Multi-Grid Tensorized Fourier Neural Operator for High- Resolution PDEs	❌	✅	✅	✅	✅	❌	✅	5
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning	✅	✅	✅	❌	❌	❌	✅	4
Multi-LoRA Composition for Image Generation	❌	✅	✅	❌	✅	❌	✅	4
Multi-conditioned Graph Diffusion for Neural Architecture Search	✅	✅	✅	✅	✅	❌	✅	6
Multi-intention Inverse Q-learning for Interpretable Behavior Representation	✅	✅	✅	✅	❌	❌	✅	5
Multimodal Chain-of-Thought Reasoning in Language Models	❌	✅	✅	✅	✅	❌	✅	5
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction	✅	✅	✅	✅	✅	❌	✅	6
Multitask Learning Can Improve Worst-Group Outcomes	❌	✅	✅	✅	❌	❌	✅	4
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks	✅	✅	✅	✅	❌	❌	✅	5
Neural Circuit Diagrams: Robust Diagrams for the Communication, Implementation, and Analysis of Deep Learning Architectures	❌	✅	✅	❌	❌	❌	❌	2
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration	✅	✅	✅	✅	✅	❌	✅	6
Neural Graph Reasoning: A Survey on Complex Logical Query Answering	❌	❌	✅	✅	❌	❌	❌	2
Neural Implicit Manifold Learning for Topology-Aware Density Estimation	✅	❌	✅	❌	✅	❌	✅	4
Neural Likelihood Approximation for Integer Valued Time Series Data	✅	❌	❌	✅	✅	✅	✅	5
Neural Task Synthesis for Visual Programming	✅	✅	✅	✅	✅	❌	✅	6
Neural incomplete factorization: learning preconditioners for the conjugate gradient method	✅	✅	❌	✅	✅	❌	✅	5
Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands	❌	❌	❌	✅	❌	❌	✅	2
New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking	❌	✅	✅	✅	✅	❌	✅	5
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs	✅	❌	❌	❌	❌	❌	❌	1
No Identity, no problem: Motion through detection for people tracking	❌	✅	✅	✅	✅	❌	✅	5
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach	✅	✅	✅	✅	❌	❌	✅	5
Non-Stationary Dueling Bandits Under a Weighted Borda Criterion	✅	❌	❌	❌	❌	❌	❌	1
Non-Uniform Smoothness for Gradient Descent	✅	❌	❌	❌	❌	❌	✅	2
Non-backtracking Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Nonlinear Behaviour of Critical Points for a Simple Neural Network	❌	❌	❌	❌	❌	❌	✅	1
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning	❌	✅	✅	✅	❌	❌	✅	4
Normed Spaces for Graph Embedding	❌	✅	✅	✅	✅	✅	✅	6
NuTime: Numerically Multi-Scaled Embedding for Large- Scale Time-Series Pretraining	❌	✅	✅	✅	✅	❌	✅	5
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation	✅	❌	✅	✅	✅	❌	✅	5
Object-Centric Relational Representations for Image Generation	❌	✅	✅	✅	✅	✅	✅	6
Offline Deep Reinforcement Learning for Visual Distractions via Domain Adversarial Training	❌	✅	✅	❌	❌	❌	✅	3
Offline Reinforcement Learning via Tsallis Regularization	❌	✅	✅	❌	❌	❌	✅	3
OmniPred: Language Models as Universal Regressors	❌	❌	✅	✅	✅	❌	✅	4
On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models	❌	❌	✅	✅	✅	❌	✅	4
On Intriguing Layer-Wise Properties of Robust Overfitting in Adversarial Training	✅	❌	✅	✅	❌	❌	✅	4
On Safety in Safe Bayesian Optimization	✅	✅	❌	❌	❌	❌	✅	3
On the Adversarial Robustness of Camera-based 3D Object Detection	❌	✅	✅	✅	❌	❌	✅	4
On the Choice of Learning Rate for Local SGD	✅	❌	✅	✅	❌	❌	✅	4
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization	✅	❌	✅	❌	❌	❌	❌	2
On the Data Heterogeneity in Adaptive Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
On the Dual Problem of Convexified Convolutional Neural Networks	✅	❌	✅	❌	❌	❌	✅	3
On the Equivalence of Graph Convolution and Mixup	❌	✅	✅	✅	✅	❌	✅	5
On the Importance of Uncertainty in Decision-Making with Large Language Models	✅	❌	✅	❌	✅	❌	✅	4
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models	✅	❌	✅	✅	✅	❌	✅	5
On the Interdependence between Data Selection and Architecture Optimization in Deep Active Learning	❌	❌	✅	✅	✅	❌	✅	4
On the Optimization and Generalization of Multi-head Attention	❌	❌	✅	✅	❌	❌	✅	3
On the Out-of-Distribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning	❌	❌	✅	✅	✅	❌	✅	4
On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"	❌	✅	✅	✅	✅	❌	✅	5
On the Robustness of Neural Collapse and the Neural Collapse of Robustness	❌	✅	✅	✅	❌	❌	✅	4
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization	✅	❌	❌	❌	❌	❌	❌	1
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data	❌	❌	✅	✅	❌	❌	✅	3
On the numerical reliability of nonsmooth autodiff: a MaxPool case study	✅	✅	✅	✅	✅	❌	✅	6
On the theoretical limit of gradient descent for Simple Recurrent Neural Networks with finite precision	✅	❌	✅	❌	❌	❌	✅	3
One by One, Continual Coordinating with Humans via Hyper-Teammate Identification	✅	❌	✅	✅	❌	❌	✅	4
Online Continual Learning via Logit Adjusted Softmax	✅	✅	✅	✅	✅	❌	✅	6
Online Continuous Hyperparameter Optimization for Generalized Linear Contextual Bandits	✅	❌	✅	✅	❌	❌	✅	4
Online Reference Tracking For Linear Systems with Unknown Dynamics and Unknown Disturbances	✅	❌	❌	❌	❌	❌	✅	2
Online Tensor Max-Norm Regularization via Stochastic Optimization	✅	✅	✅	❌	✅	✅	✅	6
Oops, I Sampled it Again: Reinterpreting Confidence Intervals in Few-Shot Learning	✅	✅	✅	✅	❌	❌	✅	5
Optical Transformers	❌	❌	✅	✅	✅	❌	✅	4
Optimal Inference in Contextual Stochastic Block Models	✅	✅	❌	✅	✅	❌	✅	5
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees	✅	✅	✅	✅	✅	❌	✅	6
Optimization with Access to Auxiliary Information	✅	✅	✅	✅	❌	❌	✅	5
Optimized Tradeoffs for Private Prediction with Majority Ensembling	✅	✅	✅	✅	❌	❌	✅	5
Orthogonal Random Features: Explicit Forms and Sharp Inequalities	❌	❌	✅	❌	❌	❌	✅	2
Out-of-Distribution Optimality of Invariant Risk Minimization	❌	❌	❌	❌	❌	❌	❌	0
Overcoming Order in Autoregressive Graph Generation for Molecule Generation	❌	❌	✅	✅	❌	❌	✅	3
Overcoming the Stability Gap in Continual Learning	❌	✅	✅	✅	✅	❌	✅	5
PASS: Pruning Attention Heads with Almost-sure Sparsity Targets	❌	✅	✅	❌	✅	❌	✅	4
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans	✅	✅	✅	✅	✅	✅	✅	7
PID Control-Based Self-Healing to Improve the Robustness of Large Language Models	✅	✅	✅	❌	❌	❌	✅	4
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off	❌	✅	✅	✅	✅	❌	✅	5
PNeRV: A Polynomial Neural Representation for Videos	✅	❌	✅	✅	✅	❌	✅	5
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations	✅	❌	✅	❌	❌	✅	✅	4
PaDPaF: Partial Disentanglement with Partially-Federated GANs	✅	✅	✅	✅	✅	❌	✅	6
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey	❌	❌	✅	❌	❌	❌	❌	1
Path Development Network with Finite-dimensional Lie Group	✅	✅	✅	✅	✅	✅	✅	7
Pathologies of Predictive Diversity in Deep Ensembles	❌	✅	✅	❌	✅	❌	✅	4
PerSEval: Assessing Personalization in Text Summarizers	❌	✅	✅	✅	✅	❌	✅	5
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies	✅	✅	✅	❌	✅	❌	✅	5
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games	✅	❌	✅	✅	❌	❌	✅	4
Persistent Local Homology in Graph Learning	✅	❌	✅	❌	✅	✅	✅	5
Persona-aware Generative Model for Code-mixed Language	✅	✅	✅	✅	✅	❌	✅	6
Personalised Federated Learning On Heterogeneous Feature Spaces	✅	✅	✅	✅	❌	❌	✅	5
Personalized Algorithmic Recourse with Preference Elicitation	✅	✅	✅	✅	✅	✅	✅	7
Personalized Federated Learning with Spurious Features: An Adversarial Approach	❌	❌	✅	✅	❌	❌	✅	3
Physical Reasoning and Object Planning for Household Embodied Agents	❌	✅	✅	❌	❌	❌	❌	2
Physics Informed Distillation for Diffusion Models	✅	✅	✅	✅	✅	✅	✅	7
Piecewise-Stationary Dueling Bandits	✅	❌	❌	❌	❌	❌	✅	2
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling	❌	❌	✅	✅	❌	❌	✅	3
Planning with Consistency Models for Model-Based Offline Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory	✅	❌	✅	✅	✅	❌	✅	5
Policy Gradient with Kernel Quadrature	✅	❌	✅	❌	✅	❌	✅	4
PopulAtion Parameter Averaging (PAPA)	✅	❌	✅	✅	✅	❌	✅	5
Population Priors for Matrix Factorization	✅	✅	✅	✅	✅	❌	✅	6
Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary	❌	✅	✅	✅	✅	✅	✅	6
Practical Synthesis of Mixed-Tailed Data with Normalizing Flows	✅	❌	✅	❌	✅	❌	✅	4
Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning	❌	❌	✅	✅	❌	❌	✅	3
Preconditioned Neural Posterior Estimation for Likelihood-free Inference	✅	✅	✅	❌	❌	❌	✅	4
Predicting the Encoding Error of SIRENs	❌	❌	✅	✅	✅	❌	✅	4
Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding	✅	✅	✅	✅	✅	❌	✅	6
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity	❌	✅	✅	✅	✅	❌	✅	5
Pretraining a Neural Operator in Lower Dimensions	✅	✅	✅	✅	✅	❌	✅	6
PriViT: Vision Transformers for Private Inference	❌	❌	✅	✅	❌	❌	✅	3
Prioritized Federated Learning: Leveraging Non-Priority Clients for Targeted Model Improvement	✅	❌	✅	❌	❌	❌	✅	3
Prismer: A Vision-Language Model with Multi-Task Experts	❌	✅	✅	✅	✅	❌	✅	5
Privacy Preserving Reinforcement Learning for Population Processes	✅	❌	✅	❌	✅	❌	✅	4
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix	✅	❌	✅	❌	❌	❌	✅	3
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations	❌	✅	✅	✅	✅	❌	✅	5
Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks	✅	✅	✅	❌	✅	❌	✅	5
Promoting Exploration in Memory-Augmented Adam using Critical Momenta	✅	✅	✅	✅	✅	❌	✅	6
Prototypical Self-Explainable Models Without Re-training	❌	✅	✅	✅	✅	❌	✅	5
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns	✅	❌	❌	❌	❌	❌	✅	2
Provable Membership Inference Privacy	✅	❌	❌	❌	❌	❌	❌	1
Proximal Mean Field Learning in Shallow Neural Networks	✅	✅	✅	✅	✅	❌	✅	6
Pseudo-Differential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations	❌	❌	✅	✅	✅	❌	✅	4
Pull-back Geometry of Persistent Homology Encodings	❌	✅	✅	✅	❌	✅	✅	5
Pushing the Limits of Gradient Descent for Efficient Learning on Large Images	✅	✅	✅	✅	✅	❌	✅	6
Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments	✅	❌	❌	❌	❌	❌	❌	1
QDC: Quantum Diffusion Convolution Kernels on Graphs	❌	❌	✅	✅	✅	✅	✅	5
Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision	❌	✅	✅	✅	✅	❌	✅	5
RLHF Workflow: From Reward Modeling to Online RLHF	✅	✅	✅	✅	❌	❌	✅	5
Re-Thinking Inverse Graphics With Large Language Models	❌	✅	✅	✅	❌	✅	✅	5
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models	✅	✅	✅	✅	✅	❌	✅	6
Recent Link Classification on Temporal Graphs Using Graph Profiler	❌	❌	✅	✅	✅	✅	❌	4
Reconciling Kaplan and Chinchilla Scaling Laws	❌	✅	✅	❌	❌	❌	✅	3
Recovering Exact Support in Federated lasso without Optimization	✅	❌	✅	✅	❌	❌	✅	4
Recurrent Inertial Graph-Based Estimator (RING): A Single Pluripotent Inertial Motion Tracking Solution	✅	✅	✅	✅	✅	❌	✅	6
RedMotion: Motion Prediction via Redundancy Reduction	❌	✅	✅	✅	✅	❌	✅	5
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks	✅	❌	✅	✅	❌	❌	✅	4
Regret Bounds for Noise-Free Cascaded Kernelized Bandits	✅	❌	❌	❌	❌	❌	✅	2
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money	✅	❌	❌	❌	❌	❌	✅	2
Reinforcement Learning for Node Selection in Branch-and-Bound	✅	✅	✅	✅	✅	✅	✅	7
Repositioning the Subject within Image	❌	✅	✅	✅	✅	❌	✅	5
Representation Learning Dynamics of Self-Supervised Models	❌	❌	✅	❌	❌	❌	✅	2
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning	✅	✅	✅	✅	✅	❌	✅	6
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations	❌	✅	✅	✅	✅	❌	✅	5
Reproducibility Study of "Explaining RL Decisions with Trajectories"	✅	✅	✅	❌	✅	❌	✅	5
Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"	❌	✅	✅	❌	✅	❌	✅	4
Reproducibility Study of "Languange-Image COnsistency"	❌	✅	✅	✅	✅	❌	✅	5
Reproducibility Study of "Learning Perturbations to Explain Time Series Predictions"	❌	✅	✅	✅	✅	❌	✅	5
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers	✅	✅	✅	✅	❌	❌	✅	5
Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact	❌	✅	✅	✅	✅	❌	✅	5
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research.	❌	✅	✅	✅	❌	✅	✅	5
Reproducibility study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"	❌	✅	✅	❌	✅	✅	✅	5
Reproducibility study of FairAC	✅	✅	✅	✅	✅	❌	✅	6
Reproducibility study of “LICO: Explainable Models with Language-Image Consistency"	❌	✅	✅	✅	✅	❌	✅	5
Restricted Random Pruning at Initialization for High Compression Range	✅	❌	✅	✅	❌	❌	✅	4
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience	✅	❌	✅	❌	✅	❌	✅	4
Revealing an Overlooked Challenge in Class-Incremental Graph Learning	❌	❌	✅	✅	❌	❌	✅	3
Revisiting Active Learning in the Era of Vision Foundation Models	✅	✅	✅	❌	❌	❌	✅	4
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection	✅	✅	✅	✅	✅	❌	✅	6
Revisiting Discrete Soft Actor-Critic	✅	✅	✅	❌	✅	❌	✅	5
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models	✅	❌	❌	❌	❌	❌	✅	2
Revisiting Feature Prediction for Learning Visual Representations from Video	❌	❌	✅	✅	✅	❌	✅	4
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion	❌	❌	✅	✅	✅	❌	✅	4
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection	❌	✅	✅	✅	❌	❌	✅	4
Revisiting Random Weight Perturbation for Efficiently Improving Generalization	❌	✅	✅	✅	❌	❌	✅	4
Revisiting stochastic submodular maximization with cardinality constraint: A bandit perspective	✅	❌	✅	✅	✅	❌	✅	5
Reward Guided Latent Consistency Distillation	✅	✅	✅	❌	✅	❌	✅	5
Reward Poisoning on Federated Reinforcement Learning	✅	❌	✅	❌	❌	❌	✅	3
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback–Leibler Divergence	✅	✅	❌	❌	❌	❌	✅	3
Risk-Controlling Model Selection via Guided Bayesian Optimization	✅	✅	✅	✅	❌	❌	✅	5
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation	❌	❌	✅	✅	❌	❌	✅	3
Robust Distortion-free Watermarks for Language Models	✅	✅	✅	❌	✅	❌	✅	5
Robust Feature Inference: A Test-time Defense Strategy using Spectral Projections	✅	✅	✅	✅	✅	❌	✅	6
Robust Guided Diffusion for Offline Black-Box Optimization	✅	✅	✅	✅	✅	❌	✅	6
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic	✅	❌	✅	❌	❌	❌	✅	3
Robust Stochastic Optimization via Gradient Quantile Clipping	✅	❌	✅	✅	❌	❌	✅	4
Robust and Efficient Quantization-aware Training via Coreset Selection	✅	❌	✅	✅	✅	❌	✅	5
Rotate the ReLU to Sparsify Deep Networks Implicitly	❌	✅	✅	❌	✅	❌	✅	4
Routers in Vision Mixture of Experts: An Empirical Study	✅	❌	✅	✅	✅	❌	✅	5
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP	❌	✅	✅	✅	❌	❌	✅	4
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer	✅	❌	✅	✅	❌	❌	✅	4
SEAL: Simultaneous Label Hierarchy Exploration And Learning	❌	❌	✅	✅	✅	❌	✅	4
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery	✅	❌	✅	❌	❌	❌	✅	3
SQL-PaLM: Improved large language model adaptation for Text-to-SQL	✅	❌	✅	✅	❌	❌	✅	4
Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions	✅	✅	✅	❌	✅	❌	✅	5
Scale Equalization for Multi-Level Feature Fusion	✅	❌	✅	❌	❌	❌	✅	3
Scaling (Down) CLIP: A Comprehensive Analysis of Data,Architecture, and Training Strategies	❌	❌	✅	✅	❌	❌	✅	3
Scaling Laws for Imitation Learning in Single-Agent Games	❌	✅	✅	✅	✅	❌	✅	5
Scaling Up Bayesian Neural Networks with Neural Networks	✅	❌	✅	❌	❌	❌	✅	3
Scaling Vision-and-Language Navigation With Offline RL	✅	✅	✅	✅	✅	❌	✅	6
Score-Based Multimodal Autoencoder	✅	✅	✅	✅	✅	❌	✅	6
Score-based Explainability for Graph Representations	✅	❌	✅	✅	✅	❌	✅	5
Selective Classification Under Distribution Shifts	✅	✅	✅	✅	❌	❌	✅	5
Selective Pre-training for Private Fine-tuning	❌	❌	✅	✅	✅	❌	✅	4
Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement	✅	✅	✅	✅	✅	❌	✅	6
Self-Supervised Visual Representation Learning for Medical Image Analysis: A Comprehensive Survey	❌	❌	✅	✅	❌	❌	❌	2
Self-supervised Color Generalization in Reinforcement Learning	❌	✅	✅	✅	✅	❌	✅	5
SelfXit: An Unsupervised Early Exit Mechanism for Deep Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods	✅	❌	✅	✅	✅	❌	✅	5
Semantic similarity prediction is better than other semantic similarity measures	✅	✅	✅	✅	❌	❌	✅	5
Semi-Supervised Semantic Segmentation via Marginal Contextual Information	✅	✅	✅	✅	✅	❌	✅	6
Sensitivity-Aware Amortized Bayesian Inference	❌	✅	✅	✅	✅	❌	✅	5
Separability Analysis for Causal Discovery in Mixture of DAGs	✅	❌	❌	❌	❌	❌	✅	2
Separable Operator Networks	❌	✅	❌	✅	✅	❌	✅	4
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series	✅	✅	✅	✅	✅	❌	✅	6
Sequential Best-Arm Identification with Application to P300 Speller	✅	❌	❌	❌	❌	❌	✅	2
Series of Hessian-Vector Products for Tractable Saddle-Free Newton Optimisation of Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
Set Features for Anomaly Detection	✅	✅	✅	✅	✅	❌	✅	6
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics	❌	✅	✅	✅	❌	❌	❌	3
Simple Drop-in LoRA Conditioning on Attention Layers Will Improve Your Diffusion Model	❌	✅	✅	❌	❌	❌	✅	3
Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance	❌	✅	✅	✅	✅	❌	✅	5
Simple Steps to Success: A Method for Step-Based Counterfactual Explanations	✅	❌	✅	✅	✅	❌	✅	5
Simple and Scalable Strategies to Continually Pre-train Large Language Models	❌	✅	✅	✅	✅	❌	✅	5
Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning	❌	❌	✅	✅	❌	❌	✅	3
Single Image Test-Time Adaptation for Segmentation	❌	✅	✅	✅	❌	❌	✅	4
Single-Shot Plug-and-Play Methods for Inverse Problems	✅	❌	✅	❌	✅	❌	✅	4
Size Lowerbounds for Deep Operator Networks	❌	✅	❌	❌	❌	❌	✅	2
Sketch and shift: a robust decoder for compressive clustering	✅	❌	✅	❌	❌	❌	✅	3
Smoothed Robustness Analysis: Bridging worst- and average-case robustness analyses via smoothed analysis	✅	✅	✅	✅	❌	❌	✅	5
Soft Merging of Experts with Adaptive Routing	❌	✅	✅	✅	✅	❌	✅	5
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures	❌	✅	✅	❌	✅	❌	✅	4
Solving Robust MDPs through No-Regret Dynamics	✅	✅	✅	❌	❌	❌	✅	4
Solving the Tree Containment Problem Using Graph Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Sparse Contextual CDF Regression	❌	✅	❌	❌	❌	❌	✅	2
Sparse Modal Regression with Mode-Invariant Skew Noise	✅	❌	✅	✅	❌	❌	✅	4
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows	❌	✅	✅	✅	✅	❌	✅	5
Spectral Self-supervised Feature Selection	✅	❌	✅	❌	❌	❌	✅	3
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks	✅	❌	✅	❌	✅	❌	✅	4
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks	❌	✅	✅	✅	✅	❌	✅	5
Stability and Generalization in Free Adversarial Training	✅	✅	✅	❌	❌	❌	✅	4
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness	✅	❌	✅	❌	✅	❌	✅	4
State-wise Constrained Policy Optimization	✅	✅	❌	❌	✅	❌	✅	4
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures	✅	✅	✅	❌	✅	❌	✅	5
Statistical Mechanics of Min-Max Problems	❌	❌	❌	❌	❌	❌	❌	0
Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models	❌	❌	❌	✅	❌	❌	✅	2
Stealthy Backdoor Attack via Confidence-driven Sampling	✅	✅	✅	✅	❌	❌	✅	5
Stochastic Bandits for Egalitarian Assignment	✅	✅	✅	❌	❌	❌	✅	4
Stochastic Direct Search Methods for Blind Resource Allocation	✅	❌	❌	❌	❌	❌	✅	2
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization	✅	❌	✅	✅	❌	❌	✅	4
Strategies for Pretraining Neural Operators	❌	✅	✅	✅	✅	❌	✅	5
Strengthening Interpretability: An Investigative Study of Integrated Gradient Methods	✅	✅	✅	✅	✅	✅	✅	7
Structural Pruning of Pre-trained Language Models via Neural Architecture Search	✅	✅	✅	✅	✅	❌	✅	6
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition	✅	✅	✅	❌	❌	❌	✅	4
Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment	✅	✅	✅	✅	❌	❌	✅	5
Support-Set Context Matters for Bongard Problems	❌	✅	✅	✅	✅	❌	✅	5
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation	✅	✅	✅	✅	✅	❌	✅	6
Switching Latent Bandits	✅	❌	✅	✅	✅	❌	✅	5
Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks	✅	❌	✅	✅	✅	❌	✅	5
Synthesizing Libraries of Programs with Auxiliary Functions	✅	✅	✅	❌	❌	❌	✅	4
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity	✅	✅	✅	✅	❌	❌	✅	5
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality	❌	❌	✅	✅	❌	❌	✅	3
TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks	❌	✅	✅	✅	✅	❌	✅	5
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis	❌	✅	✅	✅	✅	❌	✅	5
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference	✅	✅	✅	✅	✅	❌	✅	6
TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design	❌	❌	✅	✅	✅	❌	✅	4
Targeted Active Learning for Bayesian Decision-Making	✅	❌	✅	❌	❌	✅	❌	3
Task-Relevant Feature Selection with Prediction Focused Mixture Models	❌	❌	✅	✅	❌	❌	❌	2
TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning	✅	✅	✅	❌	✅	❌	✅	5
Teacher-Guided Graph Contrastive Learning	✅	✅	✅	✅	✅	❌	✅	6
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning	✅	❌	❌	❌	❌	❌	✅	2
Temporally Rich Deep Learning Models for Magnetoencephalography	❌	✅	✅	✅	❌	❌	✅	4
TensorVAE: a simple and efficient generative model for conditional molecular conformation generation	❌	✅	✅	✅	✅	✅	✅	6
Text Descriptions are Compressive and Invariant Representations for Visual Learning	❌	❌	✅	✅	❌	❌	✅	3
The Cold Posterior Effect Indicates Underfitting, and Cold Posteriors Represent a Fully Bayesian Method to Mitigate It	❌	✅	✅	✅	✅	❌	✅	5
The Cross-entropy of Piecewise Linear Probability Density Functions	❌	✅	❌	❌	❌	✅	✅	3
The Disagreement Problem in Explainable Machine Learning: A Practitioner’s Perspective	❌	✅	✅	✅	❌	❌	✅	4
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning	✅	❌	❌	❌	❌	❌	❌	1
The Harmonic Indel Distance	❌	❌	✅	✅	❌	❌	✅	3
The Impact of Syntactic and Semantic Proximity on Machine Translation with Back-Translation	❌	❌	❌	✅	✅	❌	✅	3
The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification	❌	✅	✅	✅	✅	❌	✅	5
The Kernel Perspective on Dynamic Mode Decomposition	✅	✅	✅	✅	❌	❌	✅	5
The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models	✅	❌	✅	✅	❌	✅	✅	5
The Missing U for Efficient Diffusion Models	❌	❌	✅	❌	❌	❌	✅	2
The Real Tropical Geometry of Neural Networks for Binary Classification	❌	❌	❌	❌	❌	❌	❌	0
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources	❌	✅	✅	❌	❌	❌	❌	2
The Slingshot Effect: A Late-Stage Optimization Anomaly in Adaptive Gradient Methods	✅	❌	✅	✅	❌	✅	✅	5
The Survival Bandit Problem	✅	❌	❌	❌	❌	❌	✅	2
The Trifecta: Three simple techniques for training deeper Forward-Forward networks	✅	✅	✅	❌	❌	✅	✅	5
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications	✅	✅	✅	❌	❌	❌	✅	4
Threshold Moving for Online Class Imbalance Learning with Dynamic Evolutionary Cost Vector	✅	✅	✅	✅	✅	❌	✅	6
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations	✅	✅	✅	✅	✅	✅	✅	7
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations	✅	❌	✅	✅	✅	❌	✅	5
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization	❌	✅	✅	✅	❌	❌	✅	4
Toward a Complete Criterion for Value of Information in Insoluble Decision Problems	❌	❌	❌	❌	❌	❌	❌	0
Towards Backwards-Compatible Data with Confounded Domain Adaptation	❌	✅	✅	✅	❌	❌	✅	4
Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials	✅	✅	❌	✅	❌	❌	✅	4
Towards Minimal Targeted Updates of Language Models with Targeted Negative Training	✅	✅	✅	✅	✅	❌	✅	6
Towards Provable Log Density Policy Gradient	✅	❌	❌	❌	❌	❌	❌	1
Towards Size-Independent Generalization Bounds for Deep Operator Nets	❌	✅	❌	❌	❌	❌	✅	2
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers	✅	❌	✅	✅	❌	❌	✅	4
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism	❌	✅	✅	✅	✅	❌	✅	5
Towards Unbiased Calibration using Meta-Regularization	✅	❌	✅	✅	❌	❌	✅	4
Towards Understanding Adversarial Transferability in Federated Learning	✅	❌	✅	✅	✅	❌	✅	5
Towards Understanding Dual BN In Hybrid Adversarial Training	❌	❌	✅	✅	❌	❌	✅	3
Towards Understanding Variants of Invariant Risk Minimization through the Lens of Calibration	❌	✅	✅	✅	✅	❌	✅	5
Towards fully covariant machine learning	❌	✅	❌	✅	❌	❌	✅	3
Towards generalizing deep-audio fake detection networks	❌	✅	✅	❌	✅	✅	✅	5
Training Graph Neural Networks Subject to a Tight Lipschitz Constraint	✅	✅	✅	✅	✅	❌	✅	6
Training LLMs over Neurally Compressed Text	❌	❌	✅	✅	❌	❌	✅	3
Training-free Graph Neural Networks and the Power of Labels as Features	❌	✅	✅	✅	❌	❌	✅	4
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces	✅	✅	✅	✅	❌	❌	✅	5
Transfer Learning for High-dimensional Quantile Regression with Statistical Guarantee	✅	❌	❌	❌	❌	❌	✅	2
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported	❌	✅	✅	✅	❌	❌	✅	4
Transformer Architecture Search for Improving Out-of-Domain Generalization in Machine Translation	✅	✅	✅	✅	✅	❌	✅	6
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion	✅	❌	❌	✅	❌	❌	✅	3
Tree Ensembles for Contextual Bandits	✅	❌	✅	❌	✅	❌	✅	4
Trusted Aggregation (TAG): Backdoor Defense in Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
Tweedie Moment Projected Diffusions for Inverse Problems	✅	✅	✅	✅	✅	❌	✅	6
Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs	❌	❌	✅	✅	❌	❌	✅	3
UCB Exploration for Fixed-Budget Bayesian Best Arm Identification	✅	❌	❌	❌	❌	❌	✅	2
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation	❌	✅	✅	✅	✅	❌	✅	5
Uncertainty in Graph Neural Networks: A Survey	❌	❌	❌	❌	❌	❌	❌	0
Uncovering Sets of Maximum Dissimilarity on Random Process Data	✅	❌	✅	❌	❌	✅	✅	4
Understanding Fairness Surrogate Functions in Algorithmic Fairness	✅	❌	✅	✅	❌	❌	✅	4
Understanding Smoothness of Vector Gaussian Processes on Product Spaces	❌	❌	❌	❌	❌	❌	❌	0
Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations	❌	✅	✅	✅	❌	❌	✅	4
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse	❌	❌	✅	✅	✅	❌	✅	4
Understanding the Role of Invariance in Transfer Learning	❌	✅	✅	✅	❌	❌	✅	4
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning	❌	✅	✅	✅	✅	❌	✅	5
Undetectable Steganography for Language Models	✅	✅	❌	❌	❌	❌	✅	3
UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control	✅	❌	✅	❌	✅	✅	✅	5
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods	✅	✅	✅	❌	❌	❌	❌	3
Uniformly Distributed Feature Representations for Fair and Robust Learning	❌	✅	✅	✅	✅	❌	✅	5
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code	❌	✅	✅	✅	❌	❌	❌	3
Universal Functional Regression with Neural Operator Flows	✅	✅	✅	✅	❌	❌	✅	5
Universal Neurons in GPT2 Language Models	❌	✅	✅	❌	❌	❌	✅	3
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation	❌	✅	✅	❌	❌	❌	✅	3
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization	✅	✅	✅	❌	✅	✅	✅	6
Unleashing the Power of Visual Prompting At the Pixel Level	❌	❌	✅	✅	❌	❌	✅	3
Unmasking the Veil: An Investigation into Concept Ablation for Privacy and Copyright Protection in Images	❌	❌	❌	✅	❌	✅	❌	2
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled	✅	✅	✅	❌	❌	❌	✅	4
Unsupervised Domain Adaptation by Learning Using Privileged Information	✅	✅	✅	✅	✅	❌	✅	6
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation	✅	❌	✅	❌	❌	❌	✅	3
Unveiling Adversarially Robust Graph Lottery Tickets	✅	❌	✅	✅	✅	❌	✅	5
Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes	❌	✅	✅	✅	❌	❌	✅	4
Using Skew to Assess the Quality of GAN-generated Image Features	❌	❌	✅	✅	❌	❌	✅	3
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning	❌	❌	✅	✅	✅	❌	✅	4
Variance-aware decision making with linear function approximation under heavy-tailed rewards	✅	❌	❌	❌	❌	❌	✅	2
Variational Autoencoding of Dental Point Clouds	❌	❌	❌	✅	✅	❌	✅	3
Variational Bayesian Imaging with an Efficient Surrogate Score-based Prior	❌	✅	✅	✅	✅	❌	✅	5
Variational Classification: A Probabilistic Generalization of the Softmax Classifier	✅	✅	✅	✅	❌	❌	✅	5
Variational Inference on the Final-Layer Output of Neural Networks	❌	✅	✅	✅	❌	❌	✅	4
Variational Learning ISTA	✅	❌	✅	✅	✅	❌	✅	5
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics	✅	❌	❌	❌	✅	❌	✅	3
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling	✅	✅	❌	❌	❌	❌	✅	3
Variational excess risk bound for general state space models	❌	❌	❌	❌	❌	❌	❌	0
VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing	❌	❌	✅	❌	✅	❌	✅	3
Video Diffusion Models: A Survey	❌	❌	✅	❌	❌	❌	❌	1
VideoGLUE: Video General Understanding Evaluation of Foundation Models	❌	✅	✅	✅	❌	❌	✅	4
Vision Learners Meet Web Image-Text Pairs	✅	✅	✅	✅	❌	❌	✅	5
Vision-Language Dataset Distillation	✅	❌	✅	✅	✅	❌	✅	5
Vision-Language Instruction Tuning: A Review and Analysis	❌	✅	✅	❌	✅	❌	✅	4
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models	❌	✅	✅	❌	❌	❌	❌	2
VisionAD, a software package of performant anomaly detection algorithms, and Proportion Localised, an interpretable metric	✅	✅	✅	❌	✅	❌	❌	4
Visual Prompt Based Personalized Federated Learning	✅	✅	✅	✅	❌	❌	✅	5
Voyager: An Open-Ended Embodied Agent with Large Language Models	✅	❌	✅	❌	❌	✅	✅	4
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits	✅	❌	✅	✅	❌	❌	✅	4
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs	❌	✅	✅	✅	✅	✅	✅	6
Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series	❌	✅	✅	✅	✅	✅	✅	6
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline	❌	✅	✅	✅	❌	❌	✅	4
Weighted L1 and L0 Regularization Using Proximal Operator Splitting Methods	✅	✅	✅	✅	✅	✅	✅	7
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift	✅	✅	✅	✅	❌	❌	✅	5
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?	❌	❌	✅	❌	✅	✅	❌	3
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context	✅	✅	✅	✅	✅	❌	✅	6
What do larger image classifiers memorise?	❌	❌	✅	✅	❌	❌	✅	3
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?	✅	✅	✅	✅	✅	✅	✅	7
When Stability meets Sufficiency: Informative Explanations that do not Overwhelm	✅	❌	✅	❌	❌	❌	✅	3
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis	✅	❌	❌	❌	❌	❌	✅	2
When low-vision task meets dense prediction tasks with less data: an auxiliary self-trained geometry regularization	❌	✅	✅	✅	✅	❌	✅	5
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark	❌	✅	✅	✅	❌	❌	✅	4
Why Fine-grained Labels in Pretraining Benefit Generalization?	❌	❌	✅	✅	✅	❌	✅	4
Why should autoencoders work?	✅	✅	❌	❌	❌	❌	✅	3
World Models via Policy-Guided Trajectory Diffusion	✅	✅	✅	❌	✅	❌	✅	5
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors	❌	✅	✅	✅	✅	✅	✅	6
XAudit : A Learning-Theoretic Look at Auditing with Explanations	✅	❌	✅	✅	❌	❌	✅	4
XPL: A Cross-Model framework for Semi-Supervised Prompt Learning in Vision-Language Models	❌	✅	✅	✅	✅	❌	✅	5
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector	❌	❌	✅	✅	✅	✅	✅	5
Zero-Order One-Point Gradient Estimate in Consensus-Based Distributed Stochastic Optimization	✅	❌	✅	✅	❌	❌	✅	4
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference	❌	❌	✅	✅	✅	❌	✅	4
[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition	❌	✅	✅	✅	✅	❌	✅	5
[Re] Classwise-Shapley values for data valuation	❌	✅	✅	✅	❌	✅	✅	5
[Re] Explaining Temporal Graph Models through an Explorer-Navigator Framework	❌	✅	✅	✅	✅	❌	✅	5
[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks	✅	✅	✅	✅	✅	✅	✅	7
[Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models	❌	✅	✅	✅	✅	❌	✅	5
[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"	❌	✅	✅	✅	✅	❌	✅	5
iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations	❌	❌	✅	✅	✅	❌	✅	4
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies	❌	❌	✅	✅	✅	✅	✅	5
“Studying How to Efficiently and Effectively Guide Models with Explanations” - A Reproducibility Study	❌	✅	✅	✅	✅	❌	✅	5