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 | Rationalizing and Augmenting Dynamic Graph Neural Networks. | Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo |
| 2025 | Intelligence at the Edge of Chaos. | Shiyang Zhang, Aakash Patel, Syed Asad Rizvi, Nianchen Liu, Sizhuang He, Amin Karbasi, Emanuele Zappala, David van Dijk |
| 2025 | Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models. | Andy K. Zhang, Neil Perry, Riya Dulepet, Joey Ji, Celeste Menders, Justin W. Lin, Eliot Jones, Gashon Hussein, Samantha Liu, Donovan Julian Jasper, Pura Peetathawatchai, Ari Glenn, Vikram Sivashankar, Daniel Zamoshchin, Leo Glikbarg, Derek Askaryar, Haoxiang Yang, Aolin Zhang, Rishi Alluri, Nathan Tran, et al. |
| 2025 | OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition. | Stephen Zhang, Vardan Papyan |
| 2025 | Memory Mosaics. | Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Lon Bottou |
| 2025 | SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography. | Xuanyu Zhang, Jiarui Meng, Zhipei Xu, Shuzhou Yang, Yanmin Wu, Ronggang Wang, Jian Zhang |
| 2025 | How Does Critical Batch Size Scale in Pre-training? | Hanlin Zhang, Depen Morwani, Nikhil Vyas, Jingfeng Wu, Difan Zou, Udaya Ghai, Dean P. Foster, Sham M. Kakade |
| 2025 | Transformer Learns Optimal Variable Selection in Group-Sparse Classification. | Chenyang Zhang, Xuran Meng, Yuan Cao |
| 2025 | Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport. | Zhenyi Zhang, Tiejun Li, Peijie Zhou |
| 2025 | LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models. | Hantao Zhang, Yuhe Liu, Jiancheng Yang, Shouhong Wan, Xinyuan Wang, Wei Peng, Pascal Fua |
| 2025 | Robustness Inspired Graph Backdoor Defense. | Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang |
| 2025 | Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift. | Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng |
| 2025 | Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives. | Zeliang Zhang, Susan Liang, Daiki Shimada, Chenliang Xu |
| 2025 | REEF: Representation Encoding Fingerprints for Large Language Models. | Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao |
| 2025 | Anti-Exposure Bias in Diffusion Models. | Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu |
| 2025 | GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. | Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama |
| 2025 | To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation. | Wanlin Zhang, Weichen Lin, Ruomin Huang, Shihong Song, Hu Ding |
| 2025 | ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs. | Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye |
| 2025 | GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models. | Zewei Zhang, Huan Liu, Jun Chen, Xiangyu Xu |
| 2025 | Conformal Structured Prediction. | Botong Zhang, Shuo Li, Osbert Bastani |
| 2025 | FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling. | Zhengqiang Zhang, Ruihuang Li, Lei Zhang |
| 2025 | Decision Information Meets Large Language Models: The Future of Explainable Operations Research. | Yansen Zhang, Qingcan Kang, Wing Yin Yu, Hailei Gong, Xiaojin Fu, Xiongwei Han, Tao Zhong, Chen Ma |
| 2025 | RelitLRM: Generative Relightable Radiance for Large Reconstruction Models. | Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan |
| 2025 | Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions. | Michael J. Q. Zhang, W. Bradley Knox, Eunsol Choi |
| 2025 | Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs. | Yuheng Zhang, Nan Jiang |
226–250 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)