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 | SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning. | Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You |
| 2025 | SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training. | Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds |
| 2025 | Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies. | Qiang Li, Michal Yemini, Hoi-To Wai |
| 2025 | On the Adversarial Robustness of Multi-Kernel Clustering. | Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu |
| 2025 | Understanding Model Ensemble in Transferable Adversarial Attack. | Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu |
| 2025 | ConText: Driving In-context Learning for Text Removal and Segmentation. | Fei Zhang, Pei Zhang, Baosong Yang, Fei Huang, Yanfeng Wang, Ya Zhang |
| 2025 | Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger. | Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang |
| 2025 | Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors. | Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts |
| 2025 | ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. | Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang |
| 2025 | Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. | Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo |
| 2025 | Efficient Motion Prompt Learning for Robust Visual Tracking. | Jie Zhao, Xin Chen, Yongsheng Yuan, Michael Felsberg, Dong Wang, Huchuan Lu |
| 2025 | Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset. | Hao Zhou, Xu Yang, Mingyu Fan, Lu Qi, Xiangtai Li, Ming-Hsuan Yang, Fei Luo |
| 2025 | A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators. | Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko |
| 2025 | CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models. | Wei Dai, Peilin Chen, Malinda Lu, Daniel Li, Haowen Wei, Hejie Cui, Paul Pu Liang |
| 2025 | EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams. | Lin Zhu, Xiantao Ma, Xiao Wang, Lizhi Wang, Hua Huang |
| 2025 | TLLC: Transfer Learning-based Label Completion for Crowdsourcing. | Wenjun Zhang, Liangxiao Jiang, Chaoqun Li |
| 2025 | Physics Aware Neural Networks for Unsupervised Binding Energy Prediction. | Ke Liu, Hao Cheng, Chunhua Shen |
| 2025 | Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision. | Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo |
| 2025 | MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. | Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang |
| 2025 | MTL-UE: Learning to Learn Nothing for Multi-Task Learning. | Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot |
| 2025 | Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing. | Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun |
| 2025 | Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation. | Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava |
| 2025 | Multivariate Conformal Selection. | Tian Bai, Yue Zhao, Xiang Yu, Archer Y. Yang |
| 2025 | Optimal Algorithm for Max-Min Fair Bandit. | Zilong Wang, Zhiyao Zhang, Shuai Li |
| 2025 | EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents. | Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang |
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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)