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501 | Gymnasium: A Standard Interface for Reinforcement Learning Environments | 7.25 | 1.920286 | 8;6;10;5 | infrastructure, software libraries, hardware, systems, etc. | Rejected |
502 | INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge | 7.25 | 1.299038 | 8;8;5;8 | datasets and benchmarks | ICLR 2025 |
503 | Decomposition Polyhedra of Piecewise Linear Functions | 7.25 | 1.299038 | 8;8;8;5 | learning theory | ICLR 2025 |
504 | Conformal Prediction Sets Can Cause Disparate Impact | 7.25 | 1.299038 | 8;8;8;5 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
505 | SoftCVI: Contrastive variational inference with self-generated soft labels | 7.25 | 1.920286 | 8;10;5;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
506 | BlendRL: A Framework for Merging Symbolic and Neural Policy Learning | 7.25 | 1.299038 | 8;8;8;5 | neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) | ICLR 2025 |
507 | Union-over-Intersections: Object Detection beyond Winner-Takes-All | 7.25 | 1.299038 | 8;5;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
508 | Learning Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations | 7.25 | 1.299038 | 8;8;8;5 | applications to robotics, autonomy, planning | ICLR 2025 |
509 | Estimating the Probabilities of Rare Outputs in Language Models | 7.25 | 1.920286 | 8;5;6;10 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
510 | Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model | 7.25 | 1.299038 | 8;8;8;5 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
511 | DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life | 7.25 | 1.299038 | 8;5;8;8 | datasets and benchmarks | ICLR 2025 |
512 | First-Person Fairness in Chatbots | 7.25 | 1.299038 | 5;8;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
513 | Generalized Principal-Agent Problem with a Learning Agent | 7.25 | 1.299038 | 8;8;5;8 | learning theory | ICLR 2025 |
514 | Online Reinforcement Learning in Non-Stationary Context-Driven Environments | 7.25 | 1.299038 | 5;8;8;8 | reinforcement learning | ICLR 2025 |
515 | Fast Uncovering of Protein Sequence Diversity from Structure | 7.25 | 1.299038 | 8;5;8;8 | generative models | ICLR 2025 conditionalonethicsreview |
516 | Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment | 7.25 | 1.920286 | 10;6;8;5 | foundation or frontier models, including LLMs | ICLR 2025 |
517 | Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification | 7.25 | 1.299038 | 5;8;8;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
518 | Consistency Checks for Language Model Forecasters | 7.25 | 1.299038 | 8;5;8;8 | datasets and benchmarks | ICLR 2025 |
519 | Language Representations Can be What Recommenders Need: Findings and Potentials | 7.25 | 1.299038 | 8;8;5;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
520 | BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval | 7.2 | 1.6 | 10;6;6;8;6 | datasets and benchmarks | ICLR 2025 |
521 | MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion | 7.2 | 0.979796 | 6;6;8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
522 | Anti-Exposure Bias in Diffusion Models via Prompt Learning | 7.2 | 0.979796 | 6;8;8;6;8 | generative models | ICLR 2025 |
523 | Accelerated training through iterative gradient propagation along the residual path | 7.2 | 0.979796 | 8;8;8;6;6 | optimization | ICLR 2025 |
524 | Differentiable Integer Linear Programming | 7.2 | 0.979796 | 8;6;8;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
525 | Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation | 7.2 | 0.979796 | 6;8;6;8;8 | generative models | ICLR 2025 |
526 | SYMPOL: Symbolic Tree-Based On-Policy Reinforcement Learning | 7.2 | 1.939072 | 8;10;8;5;5 | reinforcement learning | ICLR 2025 |
527 | NetMoE: Accelerating MoE Training through Dynamic Sample Placement | 7.2 | 0.979796 | 6;8;6;8;8 | infrastructure, software libraries, hardware, systems, etc. | ICLR 2025 |
528 | RegMix: Data Mixture as Regression for Language Model Pre-training | 7.2 | 0.979796 | 8;6;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
529 | How Feature Learning Can Improve Neural Scaling Laws | 7.2 | 0.979796 | 8;8;6;6;8 | learning theory | ICLR 2025 |
530 | DEEM: Diffusion models serve as the eyes of large language models for image perception | 7.2 | 0.979796 | 6;8;8;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
531 | 3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation | 7.2 | 0.979796 | 8;6;6;8;8 | generative models | ICLR 2025 |
532 | Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding | 7.2 | 0.979796 | 6;8;6;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
533 | UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization | 7.2 | 0.979796 | 8;8;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
534 | Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment | 7.2 | 0.979796 | 8;6;8;8;6 | datasets and benchmarks | ICLR 2025 |
535 | OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes | 7.2 | 1.6 | 6;6;8;10;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 conditionalonethicsreview |
536 | Imputation for prediction: beware of diminishing returns. | 7.2 | 0.979796 | 8;6;8;8;6 | datasets and benchmarks | ICLR 2025 |
537 | On Quantizing Neural Representation for Variable-Rate Video Coding | 7.2 | 0.979796 | 8;8;6;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
538 | Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders | 7.2 | 0.979796 | 8;6;8;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
539 | Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training | 7.2 | 0.979796 | 8;8;6;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
540 | Computational Explorations of Total Variation Distance | 7.2 | 0.979796 | 8;6;8;6;8 | learning theory | ICLR 2025 |
541 | Diffusion On Syntax Trees For Program Synthesis | 7.2 | 0.979796 | 8;6;6;8;8 | neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) | ICLR 2025 |
542 | Rethinking and improving autoformalization: towards a faithful metric and a Dependency Retrieval-based approach | 7.2 | 0.979796 | 8;8;6;8;6 | neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) | ICLR 2025 |
543 | AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments | 7.2 | 0.979796 | 6;8;8;8;6 | datasets and benchmarks | Rejected |
544 | Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors | 7.2 | 0.979796 | 8;6;8;6;8 | learning theory | ICLR 2025 |
545 | MagicPIG: LSH Sampling for Efficient LLM Generation | 7.2 | 0.979796 | 8;6;6;8;8 | generative models | ICLR 2025 |
546 | TabWak: A Watermark for Tabular Diffusion Models | 7.2 | 0.979796 | 8;6;6;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
547 | LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation | 7.2 | 0.979796 | 8;8;8;6;6 | learning on graphs and other geometries & topologies | Rejected |
548 | Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models | 7.2 | 0.979796 | 6;8;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
549 | Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence | 7.2 | 0.979796 | 8;8;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
550 | KAN: Kolmogorov–Arnold Networks | 7.2 | 0.979796 | 8;6;6;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
551 | Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking | 7.2 | 0.979796 | 8;8;8;6;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
552 | Multi-Field Adaptive Retrieval | 7.166667 | 1.213352 | 6;8;8;8;8;5 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
553 | AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs | 7.166667 | 1.86339 | 8;8;8;8;8;3 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
554 | Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning | 7.142857 | 0.989743 | 8;8;6;8;8;6;6 | foundation or frontier models, including LLMs | ICLR 2025 |
555 | MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation | 7 | 2.94392 | 3;10;8 | generative models | Rejected |
556 | RaSA: Rank-Sharing Low-Rank Adaptation | 7 | 1 | 8;8;6;6 | foundation or frontier models, including LLMs | ICLR 2025 |
557 | Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility | 7 | 1 | 6;8;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
558 | Attributing Culture-Conditioned Generations to Pretraining Corpora | 7 | 1.264911 | 8;8;8;6;5 | interpretability and explainable AI | ICLR 2025 |
559 | State Space Model Meets Transformer: A New Paradigm for 3D Object Detection | 7 | 1 | 8;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
560 | Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning | 7 | 1 | 6;8;6;8 | learning on time series and dynamical systems | ICLR 2025 |
561 | Sparse Learning for State Space Models on Mobile | 7 | 1 | 6;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
562 | SimulPL: Aligning Human Preferences in Simultaneous Machine Translation | 7 | 1 | 8;6;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
563 | OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation | 7 | 1 | 8;6;8;6 | datasets and benchmarks | ICLR 2025 |
564 | Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model | 7 | 1 | 8;6;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
565 | Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy | 7 | 1 | 8;6;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
566 | Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance | 7 | 1 | 8;8;6;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
567 | Event-Driven Online Vertical Federated Learning | 7 | 1 | 8;6;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
568 | Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors | 7 | 1 | 8;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
569 | Scalable Bayesian Learning with posteriors | 7 | 1 | 6;8;6;8 | infrastructure, software libraries, hardware, systems, etc. | ICLR 2025 |
570 | Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning: A Theoretical and Systematic Framework | 7 | 1 | 8;8;6;6 | reinforcement learning | ICLR 2025 |
571 | BAMDP Shaping: a Unified Theoretical Framework for Intrinsic Motivation and Reward Shaping | 7 | 1 | 6;8;6;8 | reinforcement learning | ICLR 2025 |
572 | Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice | 7 | 1 | 8;6;6;8 | applications to neuroscience & cognitive science | ICLR 2025 |
573 | New Algorithms for the Learning-Augmented k-means Problem | 7 | 1 | 6;8;8;6 | optimization | ICLR 2025 |
574 | Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning | 7 | 1 | 6;6;8;8 | optimization | Rejected |
575 | Optimizing importance weighting in the presence of sub-population shifts | 7 | 1 | 8;6;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
576 | Grokking at the Edge of Numerical Stability | 7 | 1.264911 | 6;8;8;5;8 | learning theory | ICLR 2025 |
577 | Graph-based Document Structure Analysis | 7 | 1 | 8;6;8;6 | datasets and benchmarks | ICLR 2025 |
578 | Hierarchical Autoregressive Transformers for Tokenizer-Free Language Modelling | 7 | 1.414214 | 5;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
579 | Language Models Implicitly Learn a Unified Representation Space | 7 | 1 | 6;8;6;8 | interpretability and explainable AI | ICLR 2025 |
580 | More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness | 7 | 1 | 6;6;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
581 | Fast unsupervised ground metric learning with tree-Wasserstein distance | 7 | 1 | 8;6;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
582 | Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition | 7 | 1 | 8;6;8;6 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
583 | Towards Scalable Topological Regularizers | 7 | 1.414214 | 5;8;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
584 | Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation | 7 | 1 | 6;8;6;8 | optimization | ICLR 2025 |
585 | Gramian Multimodal Representation Learning and Alignment | 7 | 1 | 6;8;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
586 | ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning | 7 | 1 | 6;8;8;6 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
587 | Natural Language Inference Improves Compositionality in Vision-Language Models | 7 | 1 | 6;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
588 | Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization | 7 | 1 | 6;8;6;8 | optimization | ICLR 2025 |
589 | Neural Functions for Learning Periodic Signal | 7 | 1 | 8;8;6;6 | learning on time series and dynamical systems | ICLR 2025 |
590 | Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance | 7 | 1 | 6;8;6;8 | optimization | ICLR 2025 |
591 | Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks | 7 | 1 | 6;6;8;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
592 | Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer | 7 | 1 | 6;6;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
593 | Holographic Node Representations: Pre-training Task-Agnostic Node Embeddings | 7 | 1 | 8;6;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
594 | Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding | 7 | 1 | 8;6;6;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
595 | Identifiability for Gaussian Processes with Holomorphic Kernels | 7 | 1 | 8;6;6;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
596 | Simple ReFlow: Improved Techniques for Fast Flow Models | 7 | 1 | 8;6;6;8 | generative models | ICLR 2025 |
597 | Scalable Influence and Fact Tracing for Large Language Model Pretraining | 7 | 1 | 8;6;6;8 | interpretability and explainable AI | ICLR 2025 |
598 | Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion | 7 | 1 | 6;6;8;8 | datasets and benchmarks | Rejected |
599 | Semi-Parametric Retrieval via Binary Bag-of-Tokens Index | 7 | 1 | 6;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
600 | Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator | 7 | 1 | 8;6;8;6 | learning theory | ICLR 2025 |
Subsets and Splits