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 | SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs. | Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han |
| 2025 | Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective. | Zeyu Jia, Alexander Rakhlin, Tengyang Xie |
| 2025 | DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence. | Yang Jiao, Kai Yang, Chengtao Jian |
| 2025 | Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg. | Like Jian, Dong Liu |
| 2025 | Compositional Condition Question Answering in Tabular Understanding. | Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye |
| 2025 | MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency. | Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanwei Li, Yu Qi, Xinyan Chen, Liuhui Wang, Jianhan Jin, Claire Guo, Shen Yan, Bo Zhang, Chaoyou Fu, Peng Gao, Hongsheng Li |
| 2025 | FedClean: A General Robust Label Noise Correction for Federated Learning. | Xiaoqian Jiang, Jing Zhang |
| 2025 | Can Large Language Models Understand Intermediate Representations in Compilers? | Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang, Ruoming Jin, Qiang Guan |
| 2025 | SADA: Stability-guided Adaptive Diffusion Acceleration. | Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li |
| 2025 | StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models. | Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny, Brian L. Mark, Kai Zeng |
| 2025 | Topology-aware Neural Flux Prediction Guided by Physics. | Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He |
| 2025 | OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? | Liangze Jiang, Damien Teney |
| 2025 | CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration. | Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu, Minmin Sun, Shuai Xiao, Yong Li, Junyang Lin, Jiangchao Yao |
| 2025 | Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints. | Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu |
| 2025 | Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs. | Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki |
| 2025 | AnyEdit: Edit Any Knowledge Encoded in Language Models. | Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2025 | Generative Point Cloud Registration. | Haobo Jiang, Jin Xie, Jian Yang, Liang Yu, Jianmin Zheng |
| 2025 | Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures. | Yingzhao Jian, Yue Zhang, Ying Wei, Hehe Fan, Yi Yang |
| 2025 | Controlling Large Language Model with Latent Action. | Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu |
| 2025 | LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning. | Xiuyi Jia, Jinchi Li, Yunan Lu, Weiwei Li |
| 2025 | Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible. | Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-Feng Li |
| 2025 | Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits. | Su Jia, Peter I. Frazier, Nathan Kallus |
| 2025 | DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation. | Dongya Jia, Zhuo Chen, Jiawei Chen, Chenpeng Du, Jian Wu, Jian Cong, Xiaobin Zhuang, Chumin Li, Zhen Wei, Yuping Wang, Yuxuan Wang |
| 2025 | Pfeife: Automatic Pipeline Parallelism for PyTorch. | Ho Young Jhoo, Chung-Kil Hur, Nuno P. Lopes |
| 2025 | Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. | Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner, Natasha Jaques |
2,001–2,025 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)