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 | Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction. | Yinfeng Chen, Jin Liu, Rui Qiu |
| 2025 | Learning with Selectively Labeled Data from Multiple Decision-makers. | Jian Chen, Zhehao Li, Xiaojie Mao |
| 2025 | Falcon: Fast Visuomotor Policies via Partial Denoising. | Haojun Chen, Minghao Liu, Chengdong Ma, Xiaojian Ma, Zailin Ma, Huimin Wu, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang |
| 2025 | TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models. | Kangjie Chen, Muyang Li, Guanlin Li, Shudong Zhang, Shangwei Guo, Tianwei Zhang |
| 2025 | Dequantified Diffusion-Schrdinger Bridge for Density Ratio Estimation. | Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng |
| 2025 | Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems. | Botao Chen, Jongyeong Lee, Junya Honda |
| 2025 | Contrastive Localized Language-Image Pre-Training. | Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan |
| 2025 | RelGNN: Composite Message Passing for Relational Deep Learning. | Tianlang Chen, Charilaos I. Kanatsoulis, Jure Leskovec |
| 2025 | Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging. | Weiyu Chen, James T. Kwok |
| 2025 | ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning. | Zhaorun Chen, Mintong Kang, Bo Li |
| 2025 | Visual Generation Without Guidance. | Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu |
| 2025 | AffinityFlow: Guided Flows for Antibody Affinity Maturation. | Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson |
| 2025 | CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance. | Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan |
| 2025 | A Variational Framework for Improving Naturalness in Generative Spoken Language Models. | Li-Wei Chen, Takuya Higuchi, Zakaria Aldeneh, Ahmed Hussen Abdelaziz, Alexander Rudnicky |
| 2025 | Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors. | Runxi Cheng, Feng Xiong, Yongxian Wei, Wanyun Zhu, Chun Yuan |
| 2025 | A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. | Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi |
| 2025 | Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators. | Ze Cheng, Zhuoyu Li, Xiaoqiang Wang, Jianing Huang, Zhizhou Zhang, Zhongkai Hao, Hang Su |
| 2025 | TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments. | Zi-Jian Cheng, Ziyi Jia, Zhi Zhou, Yufeng Li, Lan-Zhe Guo |
| 2025 | Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks. | Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal |
| 2025 | Tool Unlearning for Tool-Augmented LLMs. | Jiali Cheng, Hadi Amiri |
| 2025 | Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts. | Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu |
| 2025 | Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation. | Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan |
| 2025 | RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding. | Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh |
| 2025 | Low-Rank Adapting Models for Sparse Autoencoders. | Matthew Chen, Joshua Engels, Max Tegmark |
| 2025 | KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors. | Benson Chen, Tomasz Danel, Gabriel H. S. Dreiman, Patrick J. McEnaney, Nikhil Jain, Kirill Novikov, Spurti Umesh Akki, Joshua L. Turnbull, Virja Atul Pandya, Boris P. Belotserkovskii, Jared Bryce Weaver, Ankita Biswas, Dat Nguyen, Kent Gorday, Mohammad Sultan, Nathaniel Stanley, Daniel M. Whalen, Divya Kanichar, Christoph Klein, Emily Fox, R. Edward Watts |
2,701–2,725 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)