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601 | LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently | 7 | 1 | 8;6;6;8 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
602 | Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation | 7 | 1 | 6;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
603 | Optimization-Biased Hypernetworks for Generalizable Policy Generation | 7 | 1 | 6;8;8;6 | applications to robotics, autonomy, planning | ICLR 2025 |
604 | Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models | 7 | 1 | 6;8;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 conditionalonethicsreview |
605 | Differentially Private Federated Learning with Time-Adaptive Privacy Spending | 7 | 1 | 8;6;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
606 | OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning | 7 | 1 | 6;8;6;8 | applications to robotics, autonomy, planning | ICLR 2025 |
607 | Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing | 7 | 1 | 8;8;6;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
608 | Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling | 7 | 1 | 6;8;8;6 | generative models | ICLR 2025 |
609 | Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
610 | Immunogenicity Prediction with Dual Attention Enables Vaccine Target Selection | 7 | 1 | 6;6;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
611 | Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality | 7 | 1 | 8;6;6;8 | interpretability and explainable AI | Rejected |
612 | Can we talk models into seeing the world differently? | 7 | 1 | 6;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
613 | Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration | 7 | 1 | 6;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
614 | NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains | 7 | 2.12132 | 8;5;5;10 | neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) | ICLR 2025 |
615 | How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension | 7 | 1 | 6;8;6;8 | datasets and benchmarks | ICLR 2025 |
616 | An Effective Theory of Bias Amplification | 7 | 1 | 8;6;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
617 | Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks | 7 | 1 | 6;8;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
618 | Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning | 7 | 1 | 6;6;8;8 | reinforcement learning | ICLR 2025 |
619 | Accelerating neural network training: An analysis of the AlgoPerf competition | 7 | 1.788854 | 6;8;6;5;10 | datasets and benchmarks | ICLR 2025 |
620 | Adaptive Transformer Programs: Bridging the Gap Between Performance and Interpretability in Transformers | 7 | 1 | 8;6;6;8 | interpretability and explainable AI | ICLR 2025 |
621 | FlowDec: A flow-based full-band general audio codec with high perceptual quality | 7 | 1 | 6;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
622 | GI-GS: Global Illumination Decomposition on Gaussian Splatting for Inverse Rendering | 7 | 1 | 6;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
623 | Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity | 7 | 1 | 6;8;6;8 | applications to neuroscience & cognitive science | ICLR 2025 |
624 | Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries | 7 | 1.264911 | 8;6;8;8;5 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
625 | KiVA: Kid-inspired Visual Analogies for Testing Large Multimodal Models | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
626 | Long-tailed Adversarial Training with Self-Distillation | 7 | 1 | 6;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
627 | Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs | 7 | 1 | 6;8;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
628 | Generative Representational Instruction Tuning | 7 | 1 | 8;6;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
629 | Bootstrapped Model Predictive Control | 7 | 1 | 6;8;8;6 | reinforcement learning | ICLR 2025 |
630 | Disentangling 3D Animal Pose Dynamics with Scrubbed Conditional Latent Variables | 7 | 1 | 6;8;6;8 | applications to neuroscience & cognitive science | ICLR 2025 conditionalonethicsreview |
631 | OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework | 7 | 1 | 6;6;8;8 | applications to robotics, autonomy, planning | ICLR 2025 |
632 | Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping | 7 | 1 | 6;8;6;8 | applications to robotics, autonomy, planning | ICLR 2025 |
633 | Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
634 | Language Guided Skill Discovery | 7 | 1 | 8;8;6;6 | reinforcement learning | ICLR 2025 |
635 | Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning | 7 | 1 | 6;8;6;8 | reinforcement learning | ICLR 2025 |
636 | Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention | 7 | 1 | 8;8;6;6 | foundation or frontier models, including LLMs | ICLR 2025 |
637 | Severing Spurious Correlations with Data Pruning | 7 | 2.12132 | 8;5;5;10 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
638 | Adam-mini: Use Fewer Learning Rates To Gain More | 7 | 1 | 6;8;8;6 | optimization | ICLR 2025 |
639 | SymDiff: Equivariant Diffusion via Stochastic Symmetrisation | 7 | 1.414214 | 5;8;8 | generative models | ICLR 2025 |
640 | Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion | 7 | 1 | 6;6;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
641 | Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization | 7 | 1 | 6;8;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
642 | Data Distillation for extrapolative protein design through exact preference optimization | 7 | 1 | 8;6;8;6 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
643 | Regulatory DNA Sequence Design with Reinforcement Learning | 7 | 1.414214 | 5;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
644 | Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels | 7 | 1 | 6;8;6;8 | learning theory | ICLR 2025 |
645 | Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm | 7 | 1.264911 | 8;6;8;8;5 | causal reasoning | ICLR 2025 |
646 | Contextual Document Embeddings | 7 | 1 | 8;8;6;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
647 | Context-aware Dynamic Pruning for Speech Foundation Models | 7 | 1 | 8;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
648 | CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences | 7 | 1.732051 | 6;10;6;6 | generative models | ICLR 2025 |
649 | Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements | 7 | 1 | 8;8;6;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
650 | Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning | 7 | 1 | 8;6;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
651 | Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics | 7 | 1 | 8;8;6;6 | reinforcement learning | ICLR 2025 |
652 | Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds | 7 | 1 | 6;8;8;6 | reinforcement learning | ICLR 2025 |
653 | GraphBridge: Towards Arbitrary Transfer Learning in GNNs | 7 | 1 | 6;8;6;8 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
654 | Protein Language Model Fitness is a Matter of Preference | 7 | 1 | 6;8;6;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
655 | MIND over Body: Adaptive Thinking using Dynamic Computation | 7 | 1 | 8;8;6;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
656 | Last Iterate Convergence of Incremental Methods as a Model of Forgetting | 7 | 1 | 6;8;6;8 | optimization | ICLR 2025 |
657 | AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents | 7 | 1 | 8;6;8;6 | datasets and benchmarks | ICLR 2025 |
658 | AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text | 7 | 1 | 6;8;6;8 | interpretability and explainable AI | ICLR 2025 |
659 | ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler | 7 | 1 | 6;6;8;8 | generative models | ICLR 2025 |
660 | M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model | 7 | 1 | 6;8;8;6 | reinforcement learning | ICLR 2025 |
661 | Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh | 7 | 1 | 8;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
662 | DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimizaiton | 7 | 1 | 6;8;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
663 | Rethinking the role of frames for SE(3)-invariant crystal structure modeling | 7 | 1 | 8;8;6;6 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
664 | Beyond Auto-Regression: Fast LLMs via Self-Distillation Through Time | 7 | 1 | 6;8;8;6 | generative models | ICLR 2025 |
665 | Black-Box Detection of Language Model Watermarks | 7 | 1 | 8;6;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
666 | Real-Time Video Generation with Pyramid Attention Broadcast | 7 | 1 | 8;8;6;6 | generative models | ICLR 2025 |
667 | CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search | 7 | 1 | 6;8;6;8 | neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) | ICLR 2025 |
668 | DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models | 7 | 1 | 8;8;6;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
669 | Convergence of Distributed Adaptive Optimization with Local Updates | 7 | 1 | 8;6;8;6 | optimization | ICLR 2025 |
670 | Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics | 7 | 1 | 8;8;6;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
671 | Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning | 7 | 1 | 8;6;6;8 | reinforcement learning | ICLR 2025 |
672 | Efficiently Parameterized Neural Metriplectic Systems | 7 | 1 | 6;8;8;6 | learning on time series and dynamical systems | ICLR 2025 |
673 | Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems | 7 | 1 | 6;8;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
674 | UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models | 7 | 1 | 6;8;6;8 | generative models | ICLR 2025 |
675 | Policy-aware Reward Modeling with Uncertainty-Gradient based Data Augmentation | 7 | 1 | 8;6;6;8 | reinforcement learning | ICLR 2025 |
676 | MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs | 7 | 1.414214 | 8;8;5 | generative models | ICLR 2025 |
677 | Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods | 7 | 1 | 6;6;8;8 | learning theory | ICLR 2025 |
678 | Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory | 7 | 1 | 8;8;6;6 | learning theory | ICLR 2025 |
679 | Building Math Agents with Multi-Turn Iterative Preference Learning | 7 | 1 | 6;8;8;6 | reinforcement learning | ICLR 2025 |
680 | Fast and Accurate Blind Flexible Docking | 7 | 1 | 8;6;6;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
681 | On the Role of Attention Heads in Large Language Model Safety | 7 | 1 | 8;6;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
682 | Equivariant Neural Functional Networks for Transformers | 7 | 1 | 8;6;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
683 | Enhancing End-to-End Autonomous Driving with Latent World Model | 7 | 1 | 6;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
684 | DiffGS: Repurposing Image Diffusion Models for Scalable Gaussian Splatting Generation | 7 | 1 | 8;8;6;6 | generative models | ICLR 2025 |
685 | Optimality of Matrix Mechanism on $\ell_p^p$-metric | 7 | 1 | 6;8;6;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
686 | PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection | 7 | 1 | 6;8;8;6;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
687 | On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery | 7 | 1 | 6;8;6;8 | learning theory | ICLR 2025 |
688 | It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
689 | Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping | 7 | 1 | 6;6;8;8 | optimization | ICLR 2025 |
690 | Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs | 7 | 1 | 8;6;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
691 | Efficient Learning with Sine-Activated Low-Rank Matrices | 7 | 1 | 6;8;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
692 | MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models | 7 | 1 | 6;6;8;8 | datasets and benchmarks | ICLR 2025 |
693 | FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs | 7 | 1 | 6;8;6;8 | datasets and benchmarks | ICLR 2025 conditionalonethicsreview |
694 | Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
695 | Force-Guided Bridge Matching for Full-Atom Time-Coarsened Dynamics of Peptides | 7 | 1.414214 | 8;8;5 | applications to physical sciences (physics, chemistry, biology, etc.) | Rejected |
696 | EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition | 7 | 1 | 8;8;6;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
697 | A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations | 7 | 1 | 6;6;8;8 | reinforcement learning | ICLR 2025 |
698 | Aligned LLMs Are Not Aligned Browser Agents | 7 | 1 | 8;6;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
699 | How many samples are needed to train a deep neural network? | 7 | 1 | 8;6;8;6 | learning theory | ICLR 2025 |
700 | Direct Distributional Optimization for Provable Alignment of Diffusion Models | 7 | 1.264911 | 6;8;5;8;8 | optimization | ICLR 2025 |
Subsets and Splits