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 | Multi-agent Architecture Search via Agentic Supernet. | Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, Xiang Wang |
| 2025 | Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping. | Muru Zhang, Mayank Mishra, Zhongzhu Zhou, William Brandon, Jue Wang, Yoon Kim, Jonathan Ragan-Kelley, Shuaiwen Leon Song, Ben Athiwaratkun, Tri Dao |
| 2025 | SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. | Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates |
| 2025 | On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning. | Thomas T. C. K. Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni |
| 2025 | DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation. | Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm |
| 2025 | Learning to Steer Learners in Games. | Yizhou Zhang, Yian Ma, Eric Mazumdar |
| 2025 | Multiobjective distribution matching. | Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao, Qingfu Zhang |
| 2025 | EasyInv: Toward Fast and Better DDIM Inversion. | Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji |
| 2025 | Rhomboid Tiling for Geometric Graph Deep Learning. | Yipeng Zhang, Longlong Li, Kelin Xia |
| 2025 | MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines. | Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao |
| 2025 | Learning Curves of Stochastic Gradient Descent in Kernel Regression. | Haihan Zhang, Weicheng Lin, Yuanshi Liu, Cong Fang |
| 2025 | Adaptive Self-improvement LLM Agentic System for ML Library Development. | Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun |
| 2025 | Online Differentially Private Conformal Prediction for Uncertainty Quantification. | Qiangqiang Zhang, Ting Li, Xinwei Feng, Xiaodong Yan, Jinhan Xie |
| 2025 | Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. | Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang |
| 2025 | Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation. | Guoqing Zhang, Shichao Kan, Fanghui Zhang, Wanru Xu, Yue Zhang, Yigang Cen |
| 2025 | MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning. | Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami |
| 2025 | Position: Language model developers should report train-test overlap. | Andy K. Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang |
| 2025 | Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. | Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang |
| 2025 | Minimalist Concept Erasure in Generative Models. | Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi |
| 2025 | Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning. | Chi Zhang, Ziying Jia, George K. Atia, Sihong He, Yue Wang |
| 2025 | SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization. | Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen |
| 2025 | Testing Conditional Mean Independence Using Generative Neural Networks. | Yi Zhang, Linjun Huang, Yun Yang, Xiaofeng Shao |
| 2025 | Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference. | Ce Zhang, Yixin Han, Yafei Wang, Xiaodong Yan, Linglong Kong, Ting Li, Bei Jiang |
| 2025 | L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. | Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang |
| 2025 | KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems. | Jusheng Zhang, Zimeng Huang, Yijia Fan, Ningyuan Liu, Mingyan Li, Zhuojie Yang, Jiawei Yao, Jian Wang, Keze Wang |
176–200 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)