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 | Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework. | Guan Huang, Tao Shu |
| 2025 | LightGTS: A Lightweight General Time Series Forecasting Model. | Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo |
| 2025 | Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer. | Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo |
| 2025 | An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective. | Xinyue Chen, Jinfeng Peng, Yuhao Li, Xiaorong Pu, Yang Yang, Yazhou Ren |
| 2025 | Model Uncertainty Quantification by Conformal Prediction in Continual Learning. | Rui Gao, Weiwei Liu |
| 2025 | Event-Customized Image Generation. | Zhen Wang, Yilei Jiang, Dong Zheng, Jun Xiao, Long Chen |
| 2025 | On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness. | Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang |
| 2025 | LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification. | Hang Gao, Wenxuan Huang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping Liu |
| 2025 | Feedforward Few-shot Species Range Estimation. | Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha |
| 2025 | Multi-objective Linear Reinforcement Learning with Lexicographic Rewards. | Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang |
| 2025 | Representation Surgery in Model Merging with Probabilistic Modeling. | Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An |
| 2025 | OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition. | Zheng Lian, Haiyang Sun, Licai Sun, Haoyu Chen, Lan Chen, Hao Gu, Zhuofan Wen, Shun Chen, Siyuan Zhang, Hailiang Yao, Bin Liu, Rui Liu, Shan Liang, Ya Li, Jiangyan Yi, Jianhua Tao |
| 2025 | AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models. | Zheng Lian, Haoyu Chen, Lan Chen, Haiyang Sun, Licai Sun, Yong Ren, Zebang Cheng, Bin Liu, Rui Liu, Xiaojiang Peng, Jiangyan Yi, Jianhua Tao |
| 2025 | VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data. | Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee |
| 2025 | Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization. | Zijian Liu, Zhengyuan Zhou |
| 2025 | The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. | Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu |
| 2025 | Epsilon-VAE: Denoising as Visual Decoding. | Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu |
| 2025 | ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning. | Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus |
| 2025 | Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing. | Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang |
| 2025 | PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs. | Xiaoyan Hu, Ho-fung Leung, Farzan Farnia |
| 2025 | Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion. | Yiming Sun, Xin Li, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Huiying Xu, Xinzhong Zhu |
| 2025 | CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities. | Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang |
| 2025 | Cross-City Latent Space Alignment for Consistency Region Embedding. | Meng Chen, Hongwei Jia, Zechen Li, Wenzhen Jia, Kai Zhao, Hongjun Dai, Weiming Huang |
| 2025 | Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations. | Lee Cohen, Connie Hong, Jack Hsieh, Judy Hanwen Shen |
| 2025 | Are Large Language Models Ready for Multi-Turn Tabular Data Analysis? | Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Bowen Qin, Yurong Wu, Xiaodong Li, Chenhao Ma, Jian-Guang Lou, Reynold Cheng |
3,151–3,175 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)