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 | Griffin: Towards a Graph-Centric Relational Database Foundation Model. | Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang |
| 2025 | GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs. | Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han |
| 2025 | Discovering Latent Causal Graphs from Spatiotemporal Data. | Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu |
| 2025 | Learning Dynamics in Continual Pre-Training for Large Language Models. | Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng |
| 2025 | Predictive Performance of Deep Quantum Data Re-uploading Models. | Xin Wang, Hanxiao Tao, Rebing Wu |
| 2025 | Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance. | Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu |
| 2025 | High-Dimensional Tensor Regression With Oracle Properties. | Wenbin Wang, Yu Shi, Ziping Zhao |
| 2025 | GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. | Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo |
| 2025 | Online Clustering of Dueling Bandits. | Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C. S. Lui, Zhongxiang Dai |
| 2025 | Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. | Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff |
| 2025 | Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. | Qunzhong Wang, Xiangguo Sun, Hong Cheng |
| 2025 | Distributionally Robust Policy Learning under Concept Drifts. | Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou |
| 2025 | INRFlow: Flow Matching for INRs in Ambient Space. | Yuyang Wang, Anurag Ranjan, Joshua M. Susskind, Miguel ngel Bautista |
| 2025 | Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters. | Hongyi Wang, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie |
| 2025 | Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression. | Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao |
| 2025 | The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport. | Chenrui Wang, Yixuan Qiu |
| 2025 | Safety Reasoning with Guidelines. | Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng |
| 2025 | Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics. | Puli Wang, Yu Qi, Yueming Wang, Gang Pan |
| 2025 | Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis. | Dayang Wang, Srivathsa Pasumarthi, Ajit Shankaranarayanan, Greg Zaharchuk |
| 2025 | Taming Rectified Flow for Inversion and Editing. | Jiangshan Wang, Junfu Pu, Zhongang Qi, Jiayi Guo, Yue Ma, Nisha Huang, Yuxin Chen, Xiu Li, Ying Shan |
| 2025 | Teaching Physical Awareness to LLMs through Sounds. | Weiguo Wang, Andy Nie, Wenrui Zhou, Yi Kai, Chengchen Hu |
| 2025 | MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation. | Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun |
| 2025 | Agent Workflow Memory. | Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig |
| 2025 | NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. | Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao |
| 2025 | Textural or Textual: How Vision-Language Models Read Text in Images. | Hanzhang Wang, Qingyuan Ma |
601–625 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)