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 | AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs. | Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao |
| 2025 | PEARL: Parallel Speculative Decoding with Adaptive Draft Length. | Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu, Xiao Sun |
| 2025 | ReAttention: Training-Free Infinite Context with Finite Attention Scope. | Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Qipeng Guo, Yuerong Song, Kai Lv, Hang Yan, Linlin Li, Qun Liu, Xipeng Qiu |
| 2025 | NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. | Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua |
| 2025 | Autocorrelation Matters: Understanding the Role of Initialization Schemes for State Space Models. | Fusheng Liu, Qianxiao Li |
| 2025 | Understanding the Stability-based Generalization of Personalized Federated Learning. | Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao |
| 2025 | Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning. | Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen, Lixuan Jin, Pengyuan Wang, Zhilong Zhang, Yang Yu |
| 2025 | AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution. | Fengyuan Liu, Nikhil Kandpal, Colin Raffel |
| 2025 | F3Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos. | Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong |
| 2025 | Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting. | Yu Liu, Baoxiong Jia, Ruijie Lu, Junfeng Ni, Song-Chun Zhu, Siyuan Huang |
| 2025 | SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects. | Jiayi Liu, Denys Iliash, Angel X. Chang, Manolis Savva, Ali Mahdavi Amiri |
| 2025 | Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training. | Boyu Liu, Haoyu Huang, Linlin Yang, Yanjing Li, Guodong Guo, Xianbin Cao, Baochang Zhang |
| 2025 | Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling. | Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn |
| 2025 | Decision Tree Induction Through LLMs via Semantically-Aware Evolution. | Tennison Liu, Nicolas Huynh, Mihaela van der Schaar |
| 2025 | Advancing Graph Generation through Beta Diffusion. | Xinyang Liu, Yilin He, Bo Chen, Mingyuan Zhou |
| 2025 | Large Language Models Assume People are More Rational than We Really are. | Ryan Liu, Jiayi Geng, Joshua C. Peterson, Ilia Sucholutsky, Thomas L. Griffiths |
| 2025 | Can Watermarked LLMs be Identified by Users via Crafted Prompts? | Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu |
| 2025 | Towards Learning High-Precision Least Squares Algorithms with Sequence Models. | Jerry Weihong Liu, Jessica Grogan, Owen M. Dugan, Ashish Rao, Simran Arora, Atri Rudra, Christopher R |
| 2025 | DeLLMa: Decision Making Under Uncertainty with Large Language Models. | Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger |
| 2025 | PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations. | Qiang Liu, Huiqiao Fu, Kaiqiang Tang, Chunlin Chen, Daoyi Dong |
| 2025 | A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence. | Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar |
| 2025 | Online-to-Offline RL for Agent Alignment. | Xu Liu, Haobo Fu, Stefano V. Albrecht, Qiang Fu, Shuai Li |
| 2025 | Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models. | Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen |
| 2025 | Improving Long-Text Alignment for Text-to-Image Diffusion Models. | Luping Liu, Chao Du, Tianyu Pang, Zehan Wang, Chongxuan Li, Dong Xu |
| 2025 | Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. | Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li |
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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)