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 |
|---|---|---|
| 2024 | Subgoal-based Demonstration Learning for Formal Theorem Proving. | Xueliang Zhao, Wenda Li, Lingpeng Kong |
| 2024 | APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference. | Bowen Zhao, Hannaneh Hajishirzi, Qingqing Cao |
| 2024 | Learning and Forgetting Unsafe Examples in Large Language Models. | Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren |
| 2024 | Image Fusion via Vision-Language Model. | Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool |
| 2024 | Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo. | Stephen Zhao, Rob Brekelmans, Alireza Makhzani, Roger Baker Grosse |
| 2024 | Position: Measure Dataset Diversity, Don't Just Claim It. | Dora Zhao, Jerone T. A. Andrews, Orestis Papakyriakopoulos, Alice Xiang |
| 2024 | Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning. | Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion |
| 2024 | CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents. | Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie |
| 2024 | GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. | Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian |
| 2024 | Uncertainty-Aware Reward-Free Exploration with General Function Approximation. | Junkai Zhang, Weitong Zhang, Dongruo Zhou, Quanquan Gu |
| 2024 | Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation. | Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia |
| 2024 | Efficient Denoising Diffusion via Probabilistic Masking. | Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen |
| 2024 | On the Expressive Power of Spectral Invariant Graph Neural Networks. | Bohang Zhang, Lingxiao Zhao, Haggai Maron |
| 2024 | Offline Training of Language Model Agents with Functions as Learnable Weights. | Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu |
| 2024 | Efficient Contextual Bandits with Uninformed Feedback Graphs. | Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro |
| 2024 | The Emergence of Reproducibility and Consistency in Diffusion Models. | Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu |
| 2024 | PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition. | Ziyang Zhang, Qizhen Zhang, Jakob Nicolaus Foerster |
| 2024 | Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. | Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen |
| 2024 | Generalization Analysis for Multi-Label Learning. | Yifan Zhang, Min-Ling Zhang |
| 2024 | Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. | Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen |
| 2024 | Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching. | Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You |
| 2024 | Quantum Algorithms and Lower Bounds for Finite-Sum Optimization. | Yexin Zhang, Chenyi Zhang, Cong Fang, Liwei Wang, Tongyang Li |
| 2024 | FESSNC: Fast Exponentially Stable and Safe Neural Controller. | Jingdong Zhang, Luan Yang, Qunxi Zhu, Wei Lin |
| 2024 | Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. | Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen |
| 2024 | Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions. | Kaihong Zhang, Heqi Yin, Feng Liang, Jingbo Liu |
3,426–3,450 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)