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 | (How) Do Language Models Track State? | Belinda Z. Li, Zifan Carl Guo, Jacob Andreas |
| 2025 | Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models. | Chao Li, Jiawei Fan, Anbang Yao |
| 2025 | Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. | Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen |
| 2025 | WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving. | Yiheng Li, Cunxin Fan, Chongjian Ge, Seth Z. Zhao, Chenran Li, Chenfeng Xu, Huaxiu Yao, Masayoshi Tomizuka, Bolei Zhou, Chen Tang, Mingyu Ding, Wei Zhan |
| 2025 | Scaling Laws for Upcycling Mixture-of-Experts Language Models. | Seng Pei Liew, Takuya Kato, Sho Takase |
| 2025 | UnHiPPO: Uncertainty-aware Initialization for State Space Models. | Marten Lienen, Abdullah Saydemir, Stephan Gnnemann |
| 2025 | Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator. | Yu Xin Li, Felix Dangel, Derek Tam, Colin Raffel |
| 2025 | Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation. | He Li, Haoang Chi, Mingyu Liu, Wanrong Huang, Liyang Xu, Wenjing Yang |
| 2025 | One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. | Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang |
| 2025 | From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline. | Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica |
| 2025 | Interaction-Aware Gaussian Weighting for Clustered Federated Learning. | Alessandro Licciardi, Davide Leo, Eros Fan, Barbara Caputo, Marco Ciccone |
| 2025 | Near Optimal Non-asymptotic Sample Complexity of 1-Identification. | Zitian Li, Wang Chi Cheung |
| 2025 | Large Language-Geometry Model: When LLM meets Equivariance. | Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang |
| 2025 | Eliciting Language Model Behaviors with Investigator Agents. | Xiang Lisa Li, Neil Chowdhury, Daniel D. Johnson, Tatsunori Hashimoto, Percy Liang, Sarah Schwettmann, Jacob Steinhardt |
| 2025 | Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements. | Manwen Liao, Yan Zhu, Weitian Zhang, Yuxiang Yang |
| 2025 | Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization. | Junyi Liao, Zihan Zhu, Ethan X. Fang, Zhuoran Yang, Vahid Tarokh |
| 2025 | Unifews: You Need Fewer Operations for Efficient Graph Neural Networks. | Ningyi Liao, Zihao Yu, Ruixiao Zeng, Siqiang Luo |
| 2025 | Reward-Guided Speculative Decoding for Efficient LLM Reasoning. | Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong |
| 2025 | Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering. | Zhaohe Liao, Jiangtong Li, Siyu Sun, Qingyang Liu, Fengshun Xiao, Tianjiao Li, Qiang Zhang, Guang Chen, Li Niu, Changjun Jiang, Liqing Zhang |
| 2025 | Curvature-aware Graph Attention for PDEs on Manifolds. | Yunfeng Liao, Jiawen Guan, Xiucheng Li |
| 2025 | BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization. | Zijun Liao, Jinbiao Chen, Debing Wang, Zizhen Zhang, Jiahai Wang |
| 2025 | BOOD: Boundary-based Out-Of-Distribution Data Generation. | Qilin Liao, Shuo Yang, Bo Zhao, Ping Luo, Hengshuang Zhao |
| 2025 | Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models. | Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye |
| 2025 | FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. | Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua |
| 2025 | BSO: Binary Spiking Online Optimization Algorithm. | Yu Liang, Yu Yang, Wenjie Wei, Ammar Belatreche, Shuai Wang, Malu Zhang, Yang Yang |
1,701–1,725 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)