International Conference on Learning Representations
ICLR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
31.7% (2024)
Fields of research
Machine Learning
Papers indexed
11,991
2017–2025
Papers per year
20173,704 peak2025
Most published authors
ICLR papers
11,991 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2025 | EmbedLLM: Learning Compact Representations of Large Language Models. | Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran |
| 2025 | Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model. | Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang |
| 2025 | How Gradient descent balances features: A dynamical analysis for two-layer neural networks. | Zhenyu Zhu, Fanghui Liu, Volkan Cevher |
| 2025 | Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables. | Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li |
| 2025 | RMB: Comprehensively benchmarking reward models in LLM alignment. | Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications. | Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan |
| 2025 | HaDeMiF: Hallucination Detection and Mitigation in Large Language Models. | Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Wei Ye, Shikun Zhang |
| 2025 | Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. | Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang |
| 2025 | Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models. | Jianqun Zhou, Yuanlei Zheng, Wei Chen, Qianqian Zheng, Zeyuan Shang, Wei Zhang, Rui Meng, Xiaoyu Shen |
| 2025 | Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. | Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji |
| 2025 | Learning local equivariant representations for quantum operators. | Zhanghao Zhouyin, Zixi Gan, Shishir Kumar Pandey, Linfeng Zhang, Qiangqiang Gu |
| 2025 | Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. | Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy |
| 2025 | Can LLMs Understand Time Series Anomalies? | Zihao Zhou, Rose Yu |
| 2025 | On the Role of Attention Heads in Large Language Model Safety. | Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li |
| 2025 | Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. | Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu |
| 2025 | 3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation. | Dewei Zhou, Ji Xie, Zongxin Yang, Yi Yang |
| 2025 | Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows. | Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma |
| 2025 | Nonlinear Sequence Embedding by Monotone Variational Inequality. | Jonathan Yuyang Zhou, Yao Xie |
| 2025 | Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation. | Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang |
| 2025 | Progressive Parameter Efficient Transfer Learning for Semantic Segmentation. | Nan Zhou, Huiqun Wang, Yaoyan Zheng, Di Huang |
| 2025 | Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. | Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan |
| 2025 | Anyprefer: An Agentic Framework for Preference Data Synthesis. | Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao |
| 2025 | SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. | Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2025 | Pacmann: Efficient Private Approximate Nearest Neighbor Search. | Mingxun Zhou, Elaine Shi, Giulia Fanti |
| 2025 | Weak to Strong Generalization for Large Language Models with Multi-capabilities. | Yucheng Zhou, Jianbing Shen, Yu Cheng |
51–75 of 11,991← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*ICMLInternational Conference on Machine Learning
- 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)