Unnamed: 0
int64 1
11.5k
| Title
stringlengths 10
179
| Average Score
float64 1
10
| Standard Deviation
float64 0
4.06
| Individual Scores
stringlengths 3
23
| Author-defined Area
stringclasses 21
values | Decision
stringclasses 4
values |
|---|---|---|---|---|---|---|
701 | Find A Winning Sign: Sign Is All We Need to Win the Lottery | 7 | 1 | 8;6;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
702 | Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization | 7 | 1 | 6;8;6;8 | optimization | ICLR 2025 |
703 | Separation Power of Equivariant Neural Networks | 7 | 1 | 6;8;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
704 | Mixture of Attentions For Speculative Decoding | 7 | 1 | 6;8;8;6 | generative models | ICLR 2025 |
705 | From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation | 7 | 1 | 8;8;6;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
706 | PolaFormer: Polarity-aware Linear Attention for Vision Transformers | 7 | 1 | 6;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
707 | OMG: Opacity Matters in Material Modeling with Gaussian Splatting | 7 | 1 | 6;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
708 | SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes | 7 | 1 | 8;6;6;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
709 | Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment | 7 | 1 | 8;8;6;6;8;6 | generative models | ICLR 2025 |
710 | DarkBench: Benchmarking Dark Patterns in Large Language Models | 7 | 1 | 8;6;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
711 | Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions? | 7 | 1 | 6;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
712 | OGBench: Benchmarking Offline Goal-Conditioned RL | 7 | 1 | 6;6;8;8 | reinforcement learning | ICLR 2025 |
713 | Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off | 7 | 1 | 6;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
714 | Redefining the task of Bioactivity Prediction | 7 | 1 | 8;6;6;8 | datasets and benchmarks | ICLR 2025 |
715 | Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data | 7 | 1.264911 | 8;8;8;5;6 | generative models | ICLR 2025 |
716 | Online Clustering with Nearly Optimal Consistency | 7 | 1.414214 | 8;8;5 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
717 | Learning Long Range Dependencies on Graphs via Random Walks | 7 | 1 | 8;6;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
718 | Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling | 7 | 1 | 8;8;6;6 | applications to robotics, autonomy, planning | ICLR 2025 |
719 | Towards Interpreting Visual Information Processing in Vision-Language Models | 7 | 1 | 6;8;6;8 | interpretability and explainable AI | ICLR 2025 |
720 | Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escaping, and Network Embedding | 7 | 1 | 8;8;6;6 | optimization | ICLR 2025 |
721 | Learning-Augmented Search Data Structures | 7 | 1 | 8;8;6;6 | learning theory | ICLR 2025 |
722 | Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable | 7 | 1.732051 | 6;6;10;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
723 | Certified Robustness Under Bounded Levenshtein Distance | 7 | 1 | 6;8;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
724 | Interaction Asymmetry: A General Principle for Learning Composable Abstractions | 7 | 1 | 8;6;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
725 | Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks | 7 | 1 | 6;8;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
726 | LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics | 7 | 1 | 8;6;8;6 | optimization | ICLR 2025 |
727 | OpenHands: An Open Platform for AI Software Developers as Generalist Agents | 7 | 1 | 6;8;8;6 | infrastructure, software libraries, hardware, systems, etc. | ICLR 2025 |
728 | MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences | 7 | 1 | 6;8;6;8 | generative models | ICLR 2025 |
729 | Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems | 7 | 1 | 6;8;8;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
730 | TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies | 7 | 1 | 6;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
731 | Streamlining Bayesian Deep Learning | 7 | 1 | 8;8;6;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
732 | Model-agnostic meta-learners for estimating heterogeneous treatment effects over time | 7 | 1 | 8;6;8;6 | causal reasoning | ICLR 2025 |
733 | TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction | 7 | 1 | 6;6;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
734 | Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD | 7 | 1 | 8;6;6;8 | learning theory | ICLR 2025 |
735 | Lightweight Predictive 3D Gaussian Splats | 7 | 1.414214 | 8;8;5 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
736 | Boltzmann priors for Implicit Transfer Operators | 7 | 1 | 8;8;6;6 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
737 | Rethinking Fair Representation Learning for Performance-Sensitive Tasks | 7 | 1 | 6;6;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
738 | Closed-loop Diffusion Control of Complex Physical Systems | 7 | 2.94392 | 3;10;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
739 | Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
740 | Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence | 7 | 1 | 8;6;6;8 | interpretability and explainable AI | ICLR 2025 |
741 | Discrimination-free Insurance Pricing with Privatized Sensitive Attributes | 7 | 1 | 6;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | Rejected |
742 | Efficient Evolutionary Search Over Chemical Space with Large Language Models | 7 | 1 | 8;8;6;6 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
743 | Diverse Preference Learning for Capabilities and Alignment | 7 | 1.414214 | 5;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
744 | Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement | 7 | 1 | 6;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
745 | Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards | 7 | 1 | 8;6;8;6 | learning theory | ICLR 2025 |
746 | Random-Set Neural Networks | 7 | 1.414214 | 5;8;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
747 | XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning | 7 | 1 | 6;8;8;6 | reinforcement learning | ICLR 2025 |
748 | ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY | 7 | 1 | 8;8;6;6 | applications to robotics, autonomy, planning | ICLR 2025 |
749 | SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration | 7 | 1 | 8;6;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
750 | Managing Diffuse Risks in the Safe Deployment of Untrusted Large Language Models | 7 | 1.414214 | 8;8;5 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
751 | ImDy: Human Inverse Dynamics from Imitated Observations | 7 | 1 | 8;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
752 | Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap | 7 | 1 | 8;6;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
753 | Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features | 7 | 1 | 8;6;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
754 | Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits | 7 | 1.264911 | 8;8;8;6;5 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
755 | Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization | 7 | 1 | 8;6;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
756 | Standardizing Structural Causal Models | 7 | 1.264911 | 8;5;6;8;8 | causal reasoning | ICLR 2025 |
757 | Aligning Human Motion Generation with Human Perceptions | 7 | 1 | 6;8;8;6 | datasets and benchmarks | ICLR 2025 |
758 | Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations | 7 | 1.264911 | 8;8;6;5;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
759 | Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis | 7 | 1 | 8;6;8;6 | generative models | ICLR 2025 |
760 | An Online Learning Theory of Trading-Volume Maximization | 7 | 1 | 8;6;8;6 | learning theory | ICLR 2025 |
761 | Structure Language Models for Protein Conformation Generation | 7 | 1 | 6;8;6;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
762 | InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales | 7 | 1.264911 | 8;8;5;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
763 | Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations | 7 | 1 | 8;8;6;6 | reinforcement learning | ICLR 2025 |
764 | Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling | 7 | 1 | 8;6;8;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
765 | Enhancing Robust Fairness via Confusional Spectral Regularization | 7 | 1 | 8;6;8;6;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
766 | What Makes Large Language Models Reason in (Multi-Turn) Code Generation? | 7 | 1.414214 | 8;5;8 | foundation or frontier models, including LLMs | ICLR 2025 |
767 | ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention | 7 | 1 | 8;6;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
768 | Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model | 7 | 1.414214 | 8;5;8 | reinforcement learning | ICLR 2025 |
769 | Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs | 7 | 1 | 8;6;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
770 | Tight Clusters Make Specialized Experts | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
771 | Intelligence at the Edge of Chaos | 7 | 1 | 8;6;6;8 | learning on time series and dynamical systems | ICLR 2025 |
772 | Understanding Optimization in Deep Learning with Central Flows | 7 | 1.264911 | 8;8;5;6;8 | optimization | ICLR 2025 |
773 | ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation | 7 | 1 | 8;6;8;6 | datasets and benchmarks | ICLR 2025 |
774 | Language Models Can Articulate Their Implicit Goals | 7 | 1.264911 | 8;6;8;5;8 | foundation or frontier models, including LLMs | ICLR 2025 |
775 | Analytic DAG Constraints for Differentiable DAG Learning | 7 | 1 | 8;8;6;6 | causal reasoning | ICLR 2025 |
776 | TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights | 7 | 2.12132 | 5;5;10;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
777 | Conditional Testing based on Localized Conformal $p$-values | 7 | 1 | 6;6;8;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
778 | Post-hoc Reward Calibration: A Case Study on Length Bias | 7 | 1 | 8;6;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
779 | Learning Harmonized Representations for Speculative Sampling | 7 | 1 | 6;8;8;6 | generative models | ICLR 2025 |
780 | PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks | 7 | 1 | 8;6;6;8 | applications to robotics, autonomy, planning | ICLR 2025 |
781 | Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks | 7 | 1 | 8;8;6;6 | datasets and benchmarks | ICLR 2025 conditionalonethicsreview |
782 | MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models | 7 | 1 | 8;8;6;6 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
783 | Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability | 7 | 1 | 6;8;6;8 | optimization | ICLR 2025 |
784 | Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models | 7 | 1 | 6;8;6;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
785 | An Evolved Universal Transformer Memory | 7 | 1 | 6;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
786 | Robust Conformal Prediction with a Single Binary Certificate | 7 | 1 | 6;6;8;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
787 | Calibrating LLMs with Information-Theoretic Evidential Deep Learning | 7 | 1 | 6;8;6;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
788 | MAST: model-agnostic sparsified training | 7 | 1 | 8;6;6;8 | optimization | ICLR 2025 |
789 | STAR: Synthesis of Tailored Architectures | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
790 | On the Relation between Trainability and Dequantization of Variational Quantum Learning Models | 7 | 1 | 8;8;6;6 | learning theory | ICLR 2025 |
791 | Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning | 7 | 1 | 6;6;8;8 | reinforcement learning | ICLR 2025 |
792 | MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning | 7 | 1 | 8;6;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
793 | Realtime Reinforcement Learning: Towards Rapid Asynchronous Deployment of Large Models | 7 | 1 | 8;6;8;6 | reinforcement learning | ICLR 2025 |
794 | Density estimation with LLMs: a geometric investigation of in-context learning trajectories | 7 | 1 | 6;8;6;8 | interpretability and explainable AI | ICLR 2025 |
795 | Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities | 7 | 1 | 6;8;8;6 | datasets and benchmarks | ICLR 2025 |
796 | Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery | 7 | 1 | 6;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
797 | Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo | 7 | 1 | 6;8;8;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
798 | Optimizing Posterior Samples for Bayesian Optimization via Rootfinding | 7 | 1 | 8;6;8;6 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
799 | Vision models trained to estimate spatial latents learned similar ventral-stream-aligned representations | 7 | 1 | 8;6;8;6 | applications to neuroscience & cognitive science | ICLR 2025 |
800 | Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage | 7 | 1 | 8;6;6;8 | learning on time series and dynamical systems | ICLR 2025 |
Subsets and Splits