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 | A Machine Learning Approach to Duality in Statistical Physics. | Prateek Gupta, Andrea E. V. Ferrari, Nabil Iqbal |
| 2025 | LAST SToP for Modeling Asynchronous Time Series. | Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian W. Bialokozowicz |
| 2025 | UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation. | Qin Guo, Ailing Zeng, Dongxu Yue, Ceyuan Yang, Yang Cao, Hanzhong Guo, Fei Shen, Wei Liu, Xihui Liu, Dan Xu |
| 2025 | Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints. | Hengquan Guo, Lingkai Zu, Xin Liu |
| 2025 | TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion. | Jiujiang Guo, Mankun Zhao, Wenbin Zhang, Tianyi Xu, Linying Xu, Jian Yu, Mei Yu, Ruiguo Yu |
| 2025 | Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems. | Jiachen Guo, Xiaoyu Xie, Chanwook Park, Hantao Zhang, Matthew Politis, Gino Domel, Wing Kam Liu |
| 2025 | RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation. | Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng, Yi-Xuan Deng, Xinzhi Dong, Kiyohiro Nakayama, Zhengyang Geng, Chen Wang, Bolin Ni, Guo-Wei Yang, Yongming Rao, Houwen Peng, Han Hu, Gordon Wetzstein, Shimin Hu |
| 2025 | SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services. | Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li |
| 2025 | Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived. | Yuhe Guo, Huayi Tang, Jiahong Ma, Hongteng Xu, Zhewei Wei |
| 2025 | Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization. | Phillip Guo, Aaquib Syed, Abhay Sheshadri, Aidan Ewart, Gintare Karolina Dziugaite |
| 2025 | Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images. | Zhengrui Guo, Qichen Sun, Jiabo Ma, Lishuang Feng, Jinzhuo Wang, Hao Chen |
| 2025 | On the Diversity of Adversarial Ensemble Learning. | Jun-Qi Guo, Meng-Zhang Qian, Wei Gao, Zhi-Hua Zhou |
| 2025 | Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis. | Weiyu Guo, Ziyue Qiao, Ying Sun, Yijie Xu, Hui Xiong |
| 2025 | Towards Lifelong Model Editing via Simulating Ideal Editor. | Yaming Guo, Siyang Guo, Hengshu Zhu, Ying Sun |
| 2025 | GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers. | GuoguoAi, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan |
| 2025 | Boosting Protein Graph Representations through Static-Dynamic Fusion. | Pengkang Guo, Bruno E. Correia, Pierre Vandergheynst, Daniel Probst |
| 2025 | ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks. | Yufei Guo, Yuhan Zhang, Jie Zhou, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma |
| 2025 | RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing. | Jinyao Guo, Chengpeng Wang, Xiangzhe Xu, Zian Su, Xiangyu Zhang |
| 2025 | SlimLLM: Accurate Structured Pruning for Large Language Models. | Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang |
| 2025 | Improving Out-of-Distribution Detection via Dynamic Covariance Calibration. | Kaiyu Guo, Zijian Wang, Tan Pan, Brian C. Lovell, Mahsa Baktashmotlagh |
| 2025 | SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering. | Xuehang Guo, Xingyao Wang, Yangyi Chen, Sha Li, Chi Han, Manling Li, Heng Ji |
| 2025 | Variational Rectified Flow Matching. | Pengsheng Guo, Alex Schwing |
| 2025 | Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models. | Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng |
| 2025 | Active feature acquisition via explainability-driven ranking. | Osman Berke Gney, Ketan Suhaas Saichandran, Karim Elzokm, Ziming Zhang, Vijaya B. Kolachalama |
| 2025 | Auditing Prompt Caching in Language Model APIs. | Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto |
2,251–2,275 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)