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 | Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos. | Tianyi Zhang, Yu Cao, Dianbo Liu |
| 2025 | PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs. | Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang |
| 2025 | Improving Reward Model Generalization from Adversarial Process Enhanced Preferences. | Zhilong Zhang, Tian Xu, Xinghao Du, Xingchen Cao, Yihao Sun, Yang Yu |
| 2025 | Structure-Guided Large Language Models for Text-to-SQL Generation. | Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang |
| 2025 | Joker: Joint Optimization Framework for Lightweight Kernel Machines. | Junhong Zhang, Zhihui Lai |
| 2025 | Policy Filtration for RLHF to Mitigate Noise in Reward Models. | Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian |
| 2025 | LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently. | Yuanhe Zhang, Fanghui Liu, Yudong Chen |
| 2025 | Conformal Anomaly Detection in Event Sequences. | Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan |
| 2025 | PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models. | Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen |
| 2025 | UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. | Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou |
| 2025 | SPRI: Aligning Large Language Models with Context-Situated Principles. | Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin |
| 2025 | Normalizing Flows are Capable Generative Models. | Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel ngel Bautista, Navdeep Jaitly, Joshua M. Susskind |
| 2025 | Contextures: Representations from Contexts. | Runtian Zhai, Kai Yang, Burak Varici, Che-Ping Tsai, J. Zico Kolter, Pradeep Kumar Ravikumar |
| 2025 | Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying. | Songlin Zhai, Yuan Meng, Yongrui Chen, Yiwei Wang, Guilin Qi |
| 2025 | EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations. | Haotian Zhai, Connor Lawless, Ellen Vitercik, Liu Leqi |
| 2025 | When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets. | Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry |
| 2025 | LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. | Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou |
| 2025 | Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness. | Shuang Zeng, Yunwen Lei |
| 2025 | Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning. | Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan, Yingwen Chen, Zhiping Cai |
| 2025 | TabFlex: Scaling Tabular Learning to Millions with Linear Attention. | Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C. Mueller |
| 2025 | AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models. | Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen, Lu Lin |
| 2025 | Graph Diffusion for Robust Multi-Agent Coordination. | Xianghua Zeng, Hang Su, Zhengyi Wang, Zhiyuan Lin |
| 2025 | Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection. | Matteo Zecchin, Sangwoo Park, Osvaldo Simeone |
| 2025 | Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. | Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres |
| 2025 | Regress, Don't Guess: A Regression-like Loss on Number Tokens for Language Models. | Jonas Zausinger, Lars Pennig, Anamarija Kozina, Sean Sdahl, Julian Sikora, Adrian Dendorfer, Timofey Kuznetsov, Mohamad Hagog, Nina Wiedemann, Kacper Chlodny, Vincent Limbach, Anna Ketteler, Thorben Prein, Vishwa Mohan Singh, Michael M. Danziger, Jannis Born |
226–250 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)