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101 | Open-World Reinforcement Learning over Long Short-Term Imagination | 8 | 0 | 8;8;8;8 | reinforcement learning | ICLR 2025 |
102 | GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling | 8 | 0 | 8;8;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
103 | Backtracking Improves Generation Safety | 8 | 0 | 8;8;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
104 | Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics | 8 | 0 | 8;8;8;8 | reinforcement learning | ICLR 2025 |
105 | Learning to Permute with Discrete Diffusion | 8 | 0 | 8;8;8;8;8 | generative models | ICLR 2025 |
106 | Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation | 8 | 0 | 8;8;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
107 | MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models | 8 | 0 | 8;8;8 | datasets and benchmarks | ICLR 2025 |
108 | Cross-Entropy Is All You Need To Invert the Data Generating Process | 8 | 0 | 8;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
109 | A Computational Framework for Modeling Emergence of Color Vision in the Human Brain | 8 | 1.264911 | 8;10;8;6;8 | applications to neuroscience & cognitive science | ICLR 2025 |
110 | Classic but Everlasting: Traditional Gradient-Based Algorithms Converges Fast Even in Time-Varying Multi-Player Games | 8 | 0 | 8;8;8 | learning theory | ICLR 2025 |
111 | TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis | 8 | 1.632993 | 6;8;10 | learning on time series and dynamical systems | ICLR 2025 |
112 | DEPT: Decoupled Embeddings for Pre-training Language Models | 8 | 0 | 8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
113 | Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution | 8 | 0 | 8;8;8;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
114 | Progressive Compression with Universally Quantized Diffusion Models | 8 | 0 | 8;8;8;8 | generative models | ICLR 2025 |
115 | High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation | 8 | 0 | 8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
116 | Retrieval Head Mechanistically Explains Long-Context Factuality | 8 | 0 | 8;8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
117 | Composing Unbalanced Flows for Flexible Docking and Relaxation | 8 | 1.264911 | 10;8;8;6;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
118 | Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity | 8 | 0 | 8;8;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
119 | Training Language Models to Self-Correct via Reinforcement Learning | 8 | 0 | 8;8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
120 | Inference Scaling for Long-Context Retrieval Augmented Generation | 8 | 0 | 8;8;8;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
121 | The Complexity of Two-Team Polymatrix Games with Independent Adversaries | 8 | 0 | 8;8;8 | optimization | ICLR 2025 |
122 | Oscillatory State-Space Models | 8 | 0 | 8;8;8;8 | learning on time series and dynamical systems | ICLR 2025 |
123 | Proxy Denoising for Source-Free Domain Adaptation | 8 | 0 | 8;8;8;8 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
124 | Learning to Search from Demonstration Sequences | 8 | 1.414214 | 6;8;8;10 | reinforcement learning | ICLR 2025 |
125 | Exploring the Impact of Activation Functions in Training Neural ODEs | 8 | 0 | 8;8;8;8 | learning theory | ICLR 2025 |
126 | The Hidden Cost of Waiting for Accurate Predictions | 8 | 0 | 8;8;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
127 | Interpreting Emergent Planning in Model-Free Reinforcement Learning | 8 | 0 | 8;8;8;8 | interpretability and explainable AI | ICLR 2025 |
128 | ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids | 8 | 0 | 8;8;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
129 | Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models | 8 | 0 | 8;8;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
130 | Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series | 8 | 0 | 8;8;8;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
131 | Tractable Multi-Agent Reinforcement Learning through Behavioral Economics | 8 | 0 | 8;8;8;8 | learning theory | ICLR 2025 |
132 | Synthetic continued pretraining | 8 | 0 | 8;8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
133 | Capturing the Temporal Dependence of Training Data Influence | 8 | 0 | 8;8;8;8 | interpretability and explainable AI | ICLR 2025 |
134 | MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts | 8 | 0 | 8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
135 | Improving Probabilistic Diffusion Models With Optimal Covariance Matching | 8 | 0 | 8;8;8;8 | generative models | ICLR 2025 |
136 | DeepLTL: Learning to Efficiently Satisfy Complex LTL Instructions | 8 | 0 | 8;8;8;8 | reinforcement learning | ICLR 2025 |
137 | Emergence of meta-stable clustering in mean-field transformer models | 7.8 | 1.6 | 8;5;10;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
138 | Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation | 7.8 | 1.6 | 10;8;8;5;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
139 | Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents | 7.75 | 1.785357 | 10;5;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 conditionalonethicsreview |
140 | MaestroMotif: Skill Design from Artificial Intelligence Feedback | 7.75 | 1.785357 | 8;10;8;5 | reinforcement learning | ICLR 2025 |
141 | Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates | 7.75 | 1.561249 | 8;6;6;6;8;10;10;8 | foundation or frontier models, including LLMs | ICLR 2025 |
142 | EmbodiedSAM: Online Segment Any 3D Thing in Real Time | 7.666667 | 0.745356 | 8;8;8;6;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
143 | LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias | 7.666667 | 0.745356 | 8;8;8;6;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
144 | Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective | 7.6 | 1.496663 | 6;10;8;6;8 | generative models | ICLR 2025 |
145 | Towards Lightweight Deep Watermarking Framework | 7.6 | 0.8 | 6;8;8;8;8 | applications to computer vision, audio, language, and other modalities | Rejected |
146 | Subgraph Federated Learning for Local Generalization | 7.6 | 1.496663 | 10;6;8;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
147 | Standard Gaussian Process Can Be Excellent for High-Dimensional Bayesian Optimization | 7.6 | 0.8 | 8;8;6;8;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
148 | Surprising Effectiveness of pretraining Ternary Language Model at Scale | 7.6 | 2.244994 | 5;5;10;10;8 | foundation or frontier models, including LLMs | ICLR 2025 |
149 | Residual Deep Gaussian Processes on Manifolds | 7.6 | 0.8 | 8;8;6;8;8 | probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) | ICLR 2025 |
150 | Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model | 7.6 | 0.8 | 8;8;8;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
151 | TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes | 7.6 | 0.8 | 8;8;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
152 | Homomorphism Expressivity of Spectral Invariant Graph Neural Networks | 7.6 | 1.496663 | 10;6;8;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
153 | Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks | 7.6 | 0.8 | 8;6;8;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
154 | Problem-Parameter Free Federated Learning | 7.6 | 0.8 | 6;8;8;8;8 | optimization | ICLR 2025 |
155 | CyberHost: A One-stage Diffusion Framework for Audio-driven Talking Body Generation | 7.6 | 1.496663 | 8;10;6;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 conditionalonethicsreview |
156 | CBQ: Cross-Block Quantization for Large Language Models | 7.6 | 1.496663 | 6;6;8;10;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
157 | Attention as a Hypernetwork | 7.6 | 0.8 | 8;8;6;8;8 | interpretability and explainable AI | ICLR 2025 |
158 | Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse | 7.6 | 0.8 | 8;8;8;8;6 | optimization | ICLR 2025 |
159 | Progressive distillation induces an implicit curriculum | 7.6 | 0.8 | 8;8;8;6;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
160 | How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning | 7.6 | 0.8 | 6;8;8;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
161 | Energy-based Backdoor Defense Against Federated Graph Learning | 7.5 | 0.866025 | 8;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
162 | Lean-STaR: Learning to Interleave Thinking and Proving | 7.5 | 0.866025 | 8;8;6;8 | causal reasoning | ICLR 2025 |
163 | Hymba: A Hybrid-head Architecture for Small Language Models | 7.5 | 0.866025 | 8;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
164 | Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning | 7.5 | 0.866025 | 8;6;8;8 | reinforcement learning | ICLR 2025 |
165 | Improved Convergence Rate for Diffusion Probabilistic Models | 7.5 | 0.866025 | 8;8;8;6 | learning theory | ICLR 2025 |
166 | Meta-Dynamical State Space Models for Integrative Neural Data Analysis | 7.5 | 0.866025 | 8;8;8;6 | applications to neuroscience & cognitive science | ICLR 2025 |
167 | Prioritized Generative Replay | 7.5 | 0.866025 | 8;6;8;8 | reinforcement learning | ICLR 2025 |
168 | ContraFusion: Contrastively Improving Compositional Understanding in Diffusion Models via Fine-Grained Negative Images | 7.5 | 0.866025 | 6;8;8;8 | generative models | ICLR 2025 |
169 | Approximation algorithms for combinatorial optimization with predictions | 7.5 | 0.866025 | 8;6;8;8 | optimization | ICLR 2025 |
170 | S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning | 7.5 | 0.866025 | 8;8;6;8 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
171 | TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters | 7.5 | 0.866025 | 8;8;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
172 | JudgeLM: Fine-tuned Large Language Models are Scalable Judges | 7.5 | 0.866025 | 8;8;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
173 | Revisiting Random Walks for Learning on Graphs | 7.5 | 0.866025 | 8;8;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
174 | Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation | 7.5 | 0.866025 | 8;8;8;6 | reinforcement learning | ICLR 2025 |
175 | ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks | 7.5 | 0.866025 | 6;8;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
176 | Exploring the Camera bias of Person Re-identification | 7.5 | 0.866025 | 6;8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
177 | Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning | 7.5 | 0.866025 | 8;6;8;8 | reinforcement learning | ICLR 2025 |
178 | On Disentangled Training for Nonlinear Transform in Learned Image Compression | 7.5 | 0.866025 | 8;6;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
179 | Nonlinear Sequence Embedding by Monotone Variational Inequality | 7.5 | 0.866025 | 8;8;6;8 | learning on time series and dynamical systems | ICLR 2025 |
180 | Test-time Adaptation for Cross-modal Retrieval with Query Shift | 7.5 | 0.866025 | 8;8;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
181 | Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance | 7.5 | 0.866025 | 8;6;8;8 | generative models | ICLR 2025 |
182 | SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation | 7.5 | 0.866025 | 8;8;8;6 | generative models | ICLR 2025 |
183 | AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories | 7.5 | 1.658312 | 6;10;8;6 | datasets and benchmarks | ICLR 2025 |
184 | Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding | 7.5 | 0.866025 | 8;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
185 | Efficient Training Framework for Realistic Sensory-Motor Integration in a Biologically Constrained Barrel Cortex Model | 7.5 | 0.866025 | 8;6;8;8 | applications to neuroscience & cognitive science | ICLR 2025 |
186 | Can Watermarked LLMs be Identified by Users via Crafted Prompts? | 7.5 | 0.866025 | 8;6;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
187 | ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction | 7.5 | 0.866025 | 6;8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
188 | Scaling Test-Time Compute Optimally Can be More Effective than Scaling LLM Parameters | 7.5 | 0.866025 | 8;8;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
189 | Fair Clustering in the Sliding Window Model | 7.5 | 0.866025 | 8;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
190 | OS-ATLAS: Foundation Action Model for Generalist GUI Agents | 7.5 | 0.866025 | 8;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
191 | Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion | 7.5 | 1.658312 | 10;6;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
192 | UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery | 7.5 | 0.866025 | 6;8;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
193 | Lightweight Neural App Control | 7.5 | 0.866025 | 8;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
194 | InverseBench: Benchmarking Plug-and-Play Diffusion Models for Scientific Inverse Problems | 7.5 | 0.866025 | 8;8;6;8 | datasets and benchmarks | ICLR 2025 |
195 | SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints | 7.5 | 0.866025 | 8;6;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
196 | Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research | 7.5 | 0.866025 | 6;8;8;8 | reinforcement learning | ICLR 2025 |
197 | Counterfactual Realizability | 7.5 | 1.658312 | 6;10;6;8 | causal reasoning | ICLR 2025 |
198 | Advantage-Guided Distillation for Preference Alignment in Small Language Models | 7.5 | 0.866025 | 6;8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
199 | Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces | 7.5 | 0.866025 | 6;8;8;8 | reinforcement learning | ICLR 2025 |
200 | Robustness Reprogramming for Representation Learning | 7.5 | 0.866025 | 8;8;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
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