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 | Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs. | Bowen Tan, Zheng Xu, Eric P. Xing, Zhiting Hu, Shanshan Wu |
| 2025 | WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models. | Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Richard Yu |
| 2025 | Optimizing Language Models for Inference Time Objectives using Reinforcement Learning. | Yunhao Tang, Kunhao Zheng, Gabriel Synnaeve, Rmi Munos |
| 2025 | S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking. | Tao Tang, Lijun Zhou, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang |
| 2025 | PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion. | Sophia Tang, Yinuo Zhang, Pranam Chatterjee |
| 2025 | Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model. | Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong |
| 2025 | Controllable Data Generation with Hierarchical Neural Representations. | Sheyang Tang, Xiaoyu Xu, Jiayan Qiu, Zhou Wang |
| 2025 | LOGO - Long cOntext aliGnment via efficient preference Optimization. | Zecheng Tang, Zechen Sun, Juntao Li, Qiaoming Zhu, Min Zhang |
| 2025 | Inference-Time Alignment of Diffusion Models with Direct Noise Optimization. | Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang |
| 2025 | Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. | Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth |
| 2025 | Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization. | Cheng Tang, Zhishuai Liu, Pan Xu |
| 2025 | Concentration Distribution Learning from Label Distributions. | Jiawei Tang, Yuheng Jia |
| 2025 | Learning Single Index Models with Diffusion Priors. | Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu |
| 2025 | Learning Monotonic Probabilities with a Generative Cost Model. | Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu, Jiaochen Chen, Yanxiang Zeng, Ning Luo, Pengjia Yuan, Xialong Liu, Peng Jiang |
| 2025 | Efficient Heterogeneity-Aware Federated Active Data Selection. | Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu |
| 2025 | Actor-Critics Can Achieve Optimal Sample Efficiency. | Kevin Tan, Wei Fan, Yuting Wei |
| 2025 | Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings. | Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian |
| 2025 | Scalable Equilibrium Sampling with Sequential Boltzmann Generators. | Charlie B. Tan, Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong |
| 2025 | BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare. | Yanchao Tan, Hang Lv, Yunfei Zhan, Guofang Ma, Bo Xiong, Carl Yang |
| 2025 | Cradle: Empowering Foundation Agents towards General Computer Control. | Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Brje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu |
| 2025 | S2FGL: Spatial Spectral Federated Graph Learning. | Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye |
| 2025 | Vision-Language Model Selection and Reuse for Downstream Adaptation. | Hao-Zhe Tan, Zhi Zhou, Yufeng Li, Lan-Zhe Guo |
| 2025 | FedBEns: One-Shot Federated Learning based on Bayesian Ensemble. | Jacopo Talpini, Marco Savi, Giovanni Neglia |
| 2025 | Neutral residues: revisiting adapters for model extension. | Franck Signe Talla, Edouard Grave, Herv Jgou |
| 2025 | Towards Learning to Complete Anything in Lidar. | Aya Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taix, Aljosa Osep |
801–825 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)