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 | Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. | Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen |
| 2025 | Dynamic Diffusion Transformer. | Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You |
| 2025 | ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. | Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang |
| 2025 | Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. | Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang |
| 2025 | Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. | Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo |
| 2025 | VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation. | Wei Zhao, Pengxiang Ding, Min Zhang, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang |
| 2025 | ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination. | Xinxin Zhao, Wenzhe Cai, Likun Tang, Teng Wang |
| 2025 | Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback. | Michelle D. Zhao, Henny Admoni, Reid G. Simmons, Aaditya Ramdas, Andrea Bajcsy |
| 2025 | Is In-Context Learning Sufficient for Instruction Following in LLMs? | Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion |
| 2025 | Does Training with Synthetic Data Truly Protect Privacy? | Yunpeng Zhao, Jie Zhang |
| 2025 | Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. | Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin |
| 2025 | Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs. | Xuandong Zhao, Lei Li, Yu-Xiang Wang |
| 2025 | Data Center Cooling System Optimization Using Offline Reinforcement Learning. | Xianyuan Zhan, Xiangyu Zhu, Peng Cheng, Xiao Hu, Ziteng He, Hanfei Geng, Jichao Leng, Huiwen Zheng, Chenhui Liu, Tianshun Hong, Yan Liang, Yunxin Liu, Feng Zhao |
| 2025 | CAT-3DGS: A Context-Adaptive Triplane Approach to Rate-Distortion-Optimized 3DGS Compression. | Yu-Ting Zhan, Cheng-Yuan Ho, Hebi Yang, Yi-Hsin Chen, Jui-Chiu Chiang, Yu-Lun Liu, Wen-Hsiao Peng |
| 2025 | Harnessing Diversity for Important Data Selection in Pretraining Large Language Models. | Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Jiantao Qiu, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He |
| 2025 | Exposure Bracketing Is All You Need For A High-Quality Image. | Zhilu Zhang, Shuohao Zhang, Renlong Wu, Zifei Yan, Wangmeng Zuo |
| 2025 | CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning. | Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang, Jinfa Huang, Junchi Yan |
| 2025 | Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement. | Xueyao Zhang, Xiaohui Zhang, Kainan Peng, Zhenyu Tang, Vimal Manohar, Yingru Liu, Jeff Hwang, Dangna Li, Yuhao Wang, Julian Chan, Yuan Huang, Zhizheng Wu, Mingbo Ma |
| 2025 | STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning. | Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen, Tianlin Li, Weipeng Jiang, Yang Liu |
| 2025 | OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees. | Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou |
| 2025 | Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation. | Sijia Zhang, Shuli Zeng, Shaoang Li, Feng Wu, Xiangyang Li |
| 2025 | Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models. | Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang |
| 2025 | Revisiting Large-Scale Non-convex Distributionally Robust Optimization. | Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou |
| 2025 | Fine-tuning can Help Detect Pretraining Data from Large Language Models. | Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei |
| 2025 | Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning. | Hai Zhang, Boyuan Zheng, Tianying Ji, Jinhang Liu, Anqi Guo, Junqiao Zhao, Lanqing Li |
151–175 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)