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 | Fine-tuning with Reserved Majority for Noise Reduction. | Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang |
| 2025 | Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment. | Jinhao Jiang, Junyi Li, Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen |
| 2025 | Episodic Novelty Through Temporal Distance. | Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo Xu, Chongjie Zhang, Qianchuan Zhao |
| 2025 | Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency. | Jianwen Jiang, Chao Liang, Jiaqi Yang, Gaojie Lin, Tianyun Zhong, Yanbo Zheng |
| 2025 | Exploring Learning Complexity for Efficient Downstream Dataset Pruning. | Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei |
| 2025 | RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models. | Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang |
| 2025 | MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. | Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf |
| 2025 | Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching. | Zetian Jiang, Jiaxin Lu, Haizhao Fan, Tianzhe Wang, Junchi Yan |
| 2025 | Image-level Memorization Detection via Inversion-based Inference Perturbation. | Yue Jiang, Haokun Lin, Yang Bai, Bo Peng, Zhili Liu, Yueming Lyu, Yong Yang, Xing Zheng, Jing Dong |
| 2025 | Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations. | Nick Jiang, Anish Kachinthaya, Suzanne Petryk, Yossi Gandelsman |
| 2025 | Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning. | Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei |
| 2025 | Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization. | Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang |
| 2025 | Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization. | Xingyu Jiang, Ning Gao, Xiuhui Zhang, Hongkun Dou, Yue Deng |
| 2025 | Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards. | Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan |
| 2025 | Interpreting Language Reward Models via Contrastive Explanations. | Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lcu, Manuela Veloso |
| 2025 | Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration. | Chen Jiang, Jiahui An, Yating Liu, Ni Ji |
| 2025 | Local Patterns Generalize Better for Novel Anomalies. | Yalong Jiang |
| 2025 | Towards Calibrated Deep Clustering Network. | Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou |
| 2025 | WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling. | Shengpeng Ji, Ziyue Jiang, Wen Wang, Yifu Chen, Minghui Fang, Jialong Zuo, Qian Yang, Xize Cheng, Zehan Wang, Ruiqi Li, Ziang Zhang, Xiaoda Yang, Rongjie Huang, Yidi Jiang, Qian Chen, Siqi Zheng, Zhou Zhao |
| 2025 | Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. | Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji |
| 2025 | Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective. | Andrew Jesson, Nicolas Beltran-Velez, David M. Blei |
| 2025 | Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes. | Sullam Jeoung, Yubin Ge, Haohan Wang, Jana Diesner |
| 2025 | AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption. | Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son, Sung-Eui Yoon |
| 2025 | Selective Task Group Updates for Multi-Task Optimization. | Wooseong Jeong, Kuk-Jin Yoon |
| 2025 | Extending Mercer's expansion to indefinite and asymmetric kernels. | Sungwoo Jeong, Alex Townsend |
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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)