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 | Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level. | Siqi Zhang, Xing Huang, Feihu Huang |
| 2025 | MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance. | Yuang Zhang, Jiaxi Gu, Li-Wen Wang, Han Wang, Junqi Cheng, Yuefeng Zhu, Fangyuan Zou |
| 2025 | UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent. | Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu, Jianyu Chen |
| 2025 | TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data. | Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu |
| 2025 | Hardware and Software Platform Inference. | Cheng Zhang, Hanna Foerster, Robert D. Mullins, Yiren Zhao, Ilia Shumailov |
| 2025 | Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation. | Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li, Jiye Liang |
| 2025 | Learning from others' mistakes: Finetuning machine translation models with span-level error annotations. | Lily H. Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag |
| 2025 | Scaling Probabilistic Circuits via Monarch Matrices. | Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng, Guy Van den Broeck |
| 2025 | Ad Hoc Teamwork via Offline Goal-Based Decision Transformers. | Xinzhi Zhang, Hohei Chan, Deheng Ye, Yi Cai, Mengchen Zhao |
| 2025 | CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering. | Zhe Zhang, Mingxiu Cai, Hanxiao Wang, Gaochang Wu, Tianyou Chai, Xiatian Zhu |
| 2025 | Fast Video Generation with Sliding Tile Attention. | Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhengzhong Liu, Hao Zhang |
| 2025 | When Maximum Entropy Misleads Policy Optimization. | Ruipeng Zhang, Ya-Chien Chang, Sicun Gao |
| 2025 | CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty. | Harry Zhang, Luca Carlone |
| 2025 | Unconstrained Robust Online Convex Optimization. | Jiujia Zhang, Ashok Cutkosky |
| 2025 | When do neural networks learn world models? | Tianren Zhang, Guanyu Chen, Feng Chen |
| 2025 | Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion. | Yuanwei Zhang, Fengmiao Bian, Xiaoqun Zhang, Jian-Feng Cai |
| 2025 | Nonparametric Teaching for Graph Property Learners. | Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong |
| 2025 | Expected Variational Inequalities. | Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm |
| 2025 | Robust Multimodal Large Language Models Against Modality Conflict. | Zongmeng Zhang, Wengang Zhou, Jie Zhao, Houqiang Li |
| 2025 | Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods. | Yedi Zhang, Yufan Cai, Xinyue Zuo, Xiaokun Luan, Kailong Wang, Zhe Hou, Yifan Zhang, Zhiyuan Wei, Meng Sun, Jun Sun, Jing Sun, Jin Song Dong |
| 2025 | Generalization Analysis for Controllable Learning. | Yifan Zhang, Xiao Zhang, Min-Ling Zhang |
| 2025 | End-to-End Learning Framework for Solving Non-Markovian Optimal Control. | Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan |
| 2025 | Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability. | Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama |
| 2025 | Training Diffusion-based Generative Models with Limited Data. | Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Sen F. McLoone |
| 2025 | Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback. | Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon Shaolei Du, Ruosong Wang |
201–225 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)