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201 | Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification | 7.5 | 0.866025 | 8;8;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
202 | Deep Learning Alternatives Of The Kolmogorov Superposition Theorem | 7.5 | 0.866025 | 8;8;6;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
203 | ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish | 7.5 | 0.866025 | 8;8;6;8 | datasets and benchmarks | ICLR 2025 |
204 | TopoNets: High performing vision and language models with brain-like topography | 7.5 | 0.866025 | 8;8;6;8 | applications to neuroscience & cognitive science | ICLR 2025 |
205 | On the Benefits of Memory for Modeling Time-Dependent PDEs | 7.5 | 0.866025 | 8;6;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
206 | Provable Uncertainty Decomposition via Higher-Order Calibration | 7.5 | 0.866025 | 6;8;8;8 | learning theory | ICLR 2025 |
207 | The Computational Complexity of Circuit Discovery for Inner Interpretability | 7.5 | 0.866025 | 6;8;8;8 | interpretability and explainable AI | ICLR 2025 |
208 | Multi-Robot Motion Planning with Diffusion Models | 7.5 | 0.866025 | 8;8;6;8 | applications to robotics, autonomy, planning | ICLR 2025 |
209 | MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark | 7.5 | 0.866025 | 6;8;8;8 | datasets and benchmarks | ICLR 2025 |
210 | Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations | 7.5 | 0.866025 | 8;8;8;6 | interpretability and explainable AI | ICLR 2025 |
211 | GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation | 7.5 | 0.866025 | 8;8;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
212 | What should a neuron aim for? Designing local objective functions based on information theory | 7.5 | 0.866025 | 6;8;8;8 | interpretability and explainable AI | ICLR 2025 |
213 | Towards General-Purpose Model-Free Reinforcement Learning | 7.5 | 0.866025 | 8;8;8;6 | reinforcement learning | ICLR 2025 |
214 | Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions | 7.5 | 0.866025 | 8;6;8;8 | interpretability and explainable AI | ICLR 2025 |
215 | Learning from End User Data with Shuffled Differential Privacy | 7.5 | 0.866025 | 8;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
216 | PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction | 7.5 | 0.866025 | 8;8;6;8 | generative models | ICLR 2025 |
217 | Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors | 7.5 | 0.866025 | 8;8;6;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
218 | A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders | 7.5 | 0.866025 | 8;8;6;8 | interpretability and explainable AI | Rejected |
219 | PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration | 7.5 | 0.866025 | 6;8;8;8 | datasets and benchmarks | ICLR 2025 |
220 | LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models | 7.5 | 0.866025 | 8;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
221 | Tuning Frequency Bias of State Space Models | 7.5 | 0.866025 | 8;8;6;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
222 | POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition | 7.5 | 0.866025 | 8;6;8;8 | reinforcement learning | ICLR 2025 |
223 | LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning | 7.5 | 0.866025 | 8;8;6;8 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
224 | PLENCH: Realistic Evaluation of Deep Partial-Label Learning Algorithms | 7.5 | 0.866025 | 8;6;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
225 | In Search of Forgotten Domain Generalization | 7.5 | 0.866025 | 8;8;6;8 | foundation or frontier models, including LLMs | ICLR 2025 |
226 | Improving Unsupervised Constituency Parsing via Maximizing Semantic Information | 7.5 | 0.866025 | 8;6;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
227 | 4K4DGen: Panoramic 4D Generation at 4K Resolution | 7.5 | 0.866025 | 8;8;8;6 | generative models | ICLR 2025 |
228 | CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation | 7.5 | 0.866025 | 8;8;6;8 | generative models | ICLR 2025 |
229 | Demystifying the Token Dynamics of Deep Selective State Space Models | 7.5 | 0.866025 | 8;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
230 | DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes | 7.5 | 0.866025 | 6;8;8;8 | applications to robotics, autonomy, planning | ICLR 2025 |
231 | D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement | 7.5 | 0.866025 | 8;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
232 | Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction | 7.5 | 0.866025 | 8;8;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
233 | Linear Representations of Political Perspective Emerge in Large Language Models | 7.5 | 1.658312 | 6;8;10;6 | interpretability and explainable AI | ICLR 2025 |
234 | Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs | 7.5 | 0.866025 | 8;8;8;6 | datasets and benchmarks | ICLR 2025 |
235 | Systems with Switching Causal Relations: A Meta-Causal Perspective | 7.5 | 0.866025 | 8;8;6;8 | causal reasoning | ICLR 2025 |
236 | VLMaterial: Procedural Material Generation with Large Vision-Language Models | 7.5 | 0.866025 | 6;8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
237 | Do as We Do, Not as You Think: the Conformity of Large Language Models | 7.5 | 0.866025 | 6;8;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
238 | Effective Interplay between Sparsity and Quantization: From Theory to Practice | 7.5 | 0.866025 | 6;8;8;8 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
239 | Data Shapley in One Training Run | 7.5 | 1.658312 | 6;8;6;10 | interpretability and explainable AI | ICLR 2025 |
240 | Atlas Gaussians Diffusion for 3D Generation | 7.5 | 0.866025 | 6;8;8;8 | generative models | ICLR 2025 |
241 | SVBench: A Benchmark with Temporal Multi-Turn Dialogues for Streaming Video Understanding | 7.5 | 0.866025 | 8;8;8;6 | datasets and benchmarks | ICLR 2025 |
242 | DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from One Demo | 7.5 | 1.658312 | 6;6;8;10 | applications to robotics, autonomy, planning | ICLR 2025 |
243 | Diffusion-Based Planning for Autonomous Driving with Flexible Guidance | 7.5 | 0.866025 | 8;8;8;6 | applications to robotics, autonomy, planning | ICLR 2025 |
244 | Streamlining Redundant Layers to Compress Large Language Models | 7.5 | 0.866025 | 6;8;8;8 | generative models | ICLR 2025 |
245 | CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models | 7.5 | 0.866025 | 8;6;8;8 | datasets and benchmarks | ICLR 2025 |
246 | Multi-session, multi-task neural decoding from distinct cell-types and brain regions | 7.5 | 0.866025 | 6;8;8;8 | applications to neuroscience & cognitive science | ICLR 2025 |
247 | Effective post-training embedding compression via temperature control in contrastive training | 7.5 | 0.866025 | 6;8;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
248 | Enhancing Learning with Label Differential Privacy by Vector Approximation | 7.5 | 0.866025 | 8;6;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
249 | Quality Measures for Dynamic Graph Generative Models | 7.5 | 0.866025 | 8;6;8;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
250 | Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models | 7.5 | 0.866025 | 8;8;8;6 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
251 | GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks | 7.5 | 0.866025 | 8;6;8;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
252 | Learning to Discover Regulatory Elements for Gene Expression Prediction | 7.5 | 0.866025 | 6;8;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
253 | Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits | 7.5 | 0.866025 | 6;8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
254 | TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning | 7.5 | 0.866025 | 8;8;8;6 | applications to robotics, autonomy, planning | ICLR 2025 |
255 | Robustness Inspired Graph Backdoor Defense | 7.5 | 0.866025 | 8;6;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
256 | Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems | 7.5 | 0.866025 | 8;8;6;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
257 | MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL | 7.5 | 0.866025 | 6;8;8;8 | reinforcement learning | ICLR 2025 |
258 | CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control | 7.5 | 0.866025 | 6;8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
259 | Improved Approximation Algorithms for $k$-Submodular Maximization via Multilinear Extension | 7.5 | 0.866025 | 6;8;8;8 | optimization | ICLR 2025 |
260 | Steering Protein Family Design through Profile Bayesian Flow | 7.5 | 0.866025 | 8;8;8;6 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
261 | Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier | 7.5 | 0.866025 | 8;8;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
262 | Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control | 7.5 | 0.866025 | 8;8;6;8 | generative models | ICLR 2025 |
263 | Control-oriented Clustering of Visual Latent Representation | 7.5 | 0.866025 | 8;6;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
264 | Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions | 7.5 | 0.866025 | 8;8;8;6 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
265 | LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression | 7.5 | 0.866025 | 6;8;8;8 | optimization | ICLR 2025 |
266 | Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation | 7.5 | 0.866025 | 8;8;6;8 | learning on graphs and other geometries & topologies | ICLR 2025 |
267 | Scaling FP8 training to trillion-token LLMs | 7.5 | 0.866025 | 8;6;8;8 | optimization | ICLR 2025 |
268 | Advantage Alignment Algorithms | 7.5 | 0.866025 | 8;6;8;8 | reinforcement learning | ICLR 2025 |
269 | Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion | 7.5 | 0.866025 | 8;8;8;6 | applications to robotics, autonomy, planning | ICLR 2025 |
270 | A CLIP-Powered Framework for Robust and Generalizable Data Selection | 7.5 | 0.866025 | 6;8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
271 | Better autoregressive regression with LLMs | 7.5 | 0.866025 | 6;8;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
272 | Poison-splat: Computation Cost Attack on 3D Gaussian Splatting | 7.5 | 0.866025 | 8;6;8;8 | alignment, fairness, safety, privacy, and societal considerations | ICLR 2025 |
273 | SplatFormer: Point Transformer for Robust 3D Gaussian Splatting | 7.5 | 0.866025 | 8;8;8;6 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
274 | Learning Equivariant Non-Local Electron Density Functionals | 7.5 | 0.866025 | 8;6;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
275 | Population Transformer: Learning Population-level Representations of Neural Activity | 7.5 | 1.118034 | 8;8;5;8;8;8 | applications to neuroscience & cognitive science | ICLR 2025 |
276 | Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation | 7.5 | 0.866025 | 8;6;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
277 | How new data pollutes LLM knowledge and how to dilute it | 7.5 | 0.866025 | 8;8;6;8 | interpretability and explainable AI | ICLR 2025 |
278 | Simplifying Deep Temporal Difference Learning | 7.5 | 0.866025 | 8;8;8;6 | reinforcement learning | ICLR 2025 |
279 | What Makes a Good Diffusion Planner for Decision Making? | 7.5 | 1.658312 | 8;6;10;6 | reinforcement learning | ICLR 2025 |
280 | Formation of Representations in Neural Networks | 7.5 | 0.866025 | 6;8;8;8 | unsupervised, self-supervised, semi-supervised, and supervised representation learning | ICLR 2025 |
281 | Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation | 7.5 | 0.866025 | 8;8;6;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
282 | Knowledge Localization: Mission Not Accomplished? Enter Query Localization! | 7.5 | 0.866025 | 8;8;8;6 | interpretability and explainable AI | ICLR 2025 |
283 | Retri3D: 3D Neural Graphics Representation Retrieval | 7.5 | 0.866025 | 8;6;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
284 | Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition | 7.5 | 0.866025 | 6;8;8;8 | reinforcement learning | ICLR 2025 |
285 | Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling | 7.5 | 0.866025 | 8;8;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
286 | OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents | 7.5 | 0.866025 | 6;8;8;8 | applications to physical sciences (physics, chemistry, biology, etc.) | ICLR 2025 |
287 | A Second-Order Perspective on Model Compositionality and Incremental Learning | 7.5 | 0.866025 | 6;8;8;8 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
288 | DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback | 7.5 | 0.866025 | 8;6;8;8 | foundation or frontier models, including LLMs | ICLR 2025 |
289 | When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers | 7.5 | 0.866025 | 8;8;6;8 | learning theory | ICLR 2025 |
290 | Revisiting Delta-Parameter Pruning For Fine-Tuned Models | 7.5 | 0.866025 | 8;8;8;6 | other topics in machine learning (i.e., none of the above) | ICLR 2025 |
291 | Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data | 7.5 | 0.866025 | 6;8;8;8 | applications to computer vision, audio, language, and other modalities | ICLR 2025 |
292 | $\texttt{BirdSet}$: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics | 7.5 | 0.866025 | 8;6;8;8 | datasets and benchmarks | ICLR 2025 |
293 | Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling | 7.5 | 0.866025 | 8;6;8;8 | transfer learning, meta learning, and lifelong learning | ICLR 2025 |
294 | Vision Language Models are In-Context Value Learners | 7.5 | 0.866025 | 8;8;6;8 | applications to robotics, autonomy, planning | ICLR 2025 |
295 | Training-Free Activation Sparsity in Large Language Models | 7.5 | 0.866025 | 8;8;8;6 | foundation or frontier models, including LLMs | ICLR 2025 |
296 | Linear SCM Identification in the Presence of Confounders and Gaussian Noise | 7.5 | 0.866025 | 8;6;8;8 | causal reasoning | ICLR 2025 |
297 | MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility | 7.5 | 0.866025 | 8;8;6;8 | datasets and benchmarks | ICLR 2025 |
298 | DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference | 7.5 | 0.866025 | 8;8;8;6 | infrastructure, software libraries, hardware, systems, etc. | ICLR 2025 |
299 | Bilinear MLPs enable weight-based mechanistic interpretability | 7.5 | 0.866025 | 6;8;8;8 | interpretability and explainable AI | ICLR 2025 |
300 | Exact Certification of (Graph) Neural Networks Against Label Poisoning | 7.5 | 0.866025 | 8;8;8;6 | learning on graphs and other geometries & topologies | ICLR 2025 |
Subsets and Splits