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 |
|---|---|---|
| 2024 | Differentially Private Synthetic Data via Foundation Model APIs 2: Text. | Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin |
| 2024 | Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. | Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu |
| 2024 | Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. | Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. | Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian |
| 2024 | Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources. | Meng Xia, Jonathan Wilson, Benjamin Goldstein, Ricardo Henao |
| 2024 | SMaRt: Improving GANs with Score Matching Regularity. | Mengfei Xia, Yujun Shen, Ceyuan Yang, Ran Yi, Wenping Wang, Yongjin Liu |
| 2024 | Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. | Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar |
| 2024 | Improving Transformers with Dynamically Composable Multi-Head Attention. | Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan |
| 2024 | Improved Operator Learning by Orthogonal Attention. | Zipeng Xiao, Zhongkai Hao, Bokai Lin, Zhijie Deng, Hang Su |
| 2024 | Category-Aware Active Domain Adaptation. | Wenxiao Xiao, Jiuxiang Gu, Hongfu Liu |
| 2024 | Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models. | Xiaofan Bai, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Hai Jin |
| 2024 | Towards a Self-contained Data-driven Global Weather Forecasting Framework. | Yi Xiao, Lei Bai, Wei Xue, Hao Chen, Kun Chen, Kang Chen, Tao Han, Wanli Ouyang |
| 2024 | Uniformly Stable Algorithms for Adversarial Training and Beyond. | Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar |
| 2024 | Differentially Private Post-Processing for Fair Regression. | Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han Zhao |
| 2024 | Towards Neural Architecture Search through Hierarchical Generative Modeling. | Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Nicholas Donald Lane, Hongkai Wen |
| 2024 | Delving into the Convergence of Generalized Smooth Minimax Optimization. | Wenhan Xian, Ziyi Chen, Heng Huang |
| 2024 | LESS: Selecting Influential Data for Targeted Instruction Tuning. | Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen |
| 2024 | Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. | Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu |
| 2024 | Unbiased Multi-Label Learning from Crowdsourced Annotations. | Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang |
| 2024 | HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming. | Yang Wu, Yifan Zhang, Zhenxing Liang, Jian Cheng |
| 2024 | Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays. | Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jrgen Schmidhuber, Chao Huang |
| 2024 | Mitigating Label Noise on Graphs via Topological Sample Selection. | Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu |
| 2024 | Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. | Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu |
| 2024 | Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA. | Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu |
| 2024 | Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE. | Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo |
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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)