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 | Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution. | Zuyan Liu, Yuhao Dong, Ziwei Liu, Winston Hu, Jiwen Lu, Yongming Rao |
| 2025 | RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction. | Peng Liu, Dongyang Dai, Zhiyong Wu |
| 2025 | Doubly Optimal Policy Evaluation for Reinforcement Learning. | Shuze Daniel Liu, Claire Chen, Shangtong Zhang |
| 2025 | ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks. | Qiang Liu, Mengyu Chu, Nils Thuerey |
| 2025 | VTDexManip: A Dataset and Benchmark for Visual-tactile Pretraining and Dexterous Manipulation with Reinforcement Learning. | Qingtao Liu, Yu Cui, Zhengnan Sun, Gaofeng Li, Jiming Chen, Qi Ye |
| 2025 | Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning. | Shijie Liu, Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein |
| 2025 | An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression. | Xiang Liu, Bin Chen, Zimo Liu, Yaowei Wang, Shu-Tao Xia |
| 2025 | Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. | Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang |
| 2025 | DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. | Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, Bing Su |
| 2025 | Neuroplastic Expansion in Deep Reinforcement Learning. | Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan |
| 2025 | Density estimation with LLMs: a geometric investigation of in-context learning trajectories. | Toni J. B. Liu, Nicolas Boull, Raphal Sarfati, Christopher J. Earls |
| 2025 | Discrete Copula Diffusion. | Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck |
| 2025 | Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data. | Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi, Bennett Allan Landman, Catie Chang, Soheil Kolouri |
| 2025 | TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. | Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao |
| 2025 | Towards hyperparameter-free optimization with differential privacy. | Ruixuan Liu, Zhiqi Bu |
| 2025 | PICASO: Permutation-Invariant Context Composition with State Space Models. | Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto |
| 2025 | DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References. | Xueyi Liu, Jianibieke Adalibieke, Qianwei Han, Yuzhe Qin, Li Yi |
| 2025 | ToolACE: Winning the Points of LLM Function Calling. | Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen |
| 2025 | RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style. | Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li |
| 2025 | MMFakeBench: A Mixed-Source Multimodal Misinformation Detection Benchmark for LVLMs. | Xuannan Liu, Zekun Li, Pei-Pei Li, Huaibo Huang, Shuhan Xia, Xing Cui, Linzhi Huang, Weihong Deng, Zhaofeng He |
| 2025 | Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate. | Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan |
| 2025 | RecFlow: An Industrial Full Flow Recommendation Dataset. | Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai |
| 2025 | SpinQuant: LLM Quantization with Learned Rotations. | Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort |
| 2025 | DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery. | Yuanpei Liu, Kai Han |
| 2025 | Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. | Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang |
1,901–1,925 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)