International Conference on Machine Learning
ICML
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
27.5% (2024)
Fields of research
Machine Learning
Papers indexed
17,065
1988–2025
Papers per year
19883,341 peak2025
Most published authors
ICML papers
17,065 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction. | Aaron Wenteler, Martina Occhetta, Nikhil Branson, Victor Curean, Magdalena Huebner, William Dee, William Connell, Siu Pui Chung, Alex Hawkins-Hooker, Yasha Ektefaie, Csar Miguel Valdez Crdova, Amaya Gallagher-Syed |
| 2025 | Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments. | Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu |
| 2025 | Clustering Properties of Self-Supervised Learning. | Xi Weng, Jianing An, Xudong Ma, Binhang Qi, Jie Luo, Xi Yang, Jin Song Dong, Lei Huang |
| 2025 | TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation. | Gwen Yidou Weng, Benjie Wang, Guy Van den Broeck |
| 2025 | Adversarial Combinatorial Semi-bandits with Graph Feedback. | Yuxiao Wen |
| 2025 | Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective. | Hechuan Wen, Tong Chen, Mingming Gong, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin |
| 2025 | Perception in Reflection. | Yana Wei, Liang Zhao, Kangheng Lin, En Yu, Yuang Peng, Runpei Dong, Jianjian Sun, Haoran Wei, Zheng Ge, Xiangyu Zhang, Vishal M. Patel |
| 2025 | Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG. | Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang |
| 2025 | Self-Consuming Generative Models with Adversarially Curated Data. | Xiukun Wei, Xueru Zhang |
| 2025 | Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction. | Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James T. Kwok, Yu Zhang |
| 2025 | Zero-Inflated Bandits. | Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song |
| 2025 | Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction. | Ruben Weitzman, Peter Mrch Groth, Lood van Niekerk, Aoi Otani, Yarin Gal, Debora Susan Marks, Pascal Notin |
| 2025 | Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. | Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao |
| 2025 | Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist). | Kevin L. Wei, Patricia Paskov, Sunishchal Dev, Michael J. Byun, Anka Reuel, Xavier Roberts-Gaal, Rachel Calcott, Evie Coxon, Chinmay Deshpande |
| 2025 | Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces. | Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken |
| 2025 | Stream-level Flow Matching with Gaussian Processes. | Ganchao Wei, Li Ma |
| 2025 | VideoRoPE: What Makes for Good Video Rotary Position Embedding? | Xilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Jian Tong, Haodong Duan, Qipeng Guo, Jiaqi Wang, Xipeng Qiu, Dahua Lin |
| 2025 | Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws. | Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang |
| 2025 | Closed-form Solutions: A New Perspective on Solving Differential Equations. | Shu Wei, Yanjie Li, Lina Yu, Weijun Li, Min Wu, Linjun Sun, Jingyi Liu, Hong Qin, Yusong Deng, Jufeng Han, Yan Pang |
| 2025 | Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. | Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien |
| 2025 | Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection. | Zhipeng Wei, Yuqi Liu, N. Benjamin Erichson |
| 2025 | Identifying and Understanding Cross-Class Features in Adversarial Training. | Zeming Wei, Steven Y. Guo, Yisen Wang |
| 2025 | AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism. | Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng |
| 2025 | Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. | Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Jrn-Henrik Jacobsen, Marco Cuturi |
| 2025 | Prompt-based Depth Pruning of Large Language Models. | Juyun Wee, Minjae Park, Jaeho Lee |
526–550 of 17,065← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICLRInternational Conference on Learning Representations
- AAISTATSInternational Conference on Artificial Intelligence and Statistics
- A*COLTConference on Learning Theory
- APPSNParallel Problem Solving from Nature
- AECML PKDDEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008)
- A*NeurIPSAdvances in Neural Information Processing Systems (was NIPS)