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 | SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection. | Jingjie Zhang, Hanqun Cao, Zijun Gao, Xiaorui Wang, Chunbin Gu |
| 2025 | Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis. | Zikun Zhang, Zixiang Chen, Quanquan Gu |
| 2025 | SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. | Nan Zhang, Prafulla Kumar Choubey, Alexander R. Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu |
| 2025 | CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators. | Harry Zhang, Luca Carlone |
| 2025 | COME: Test-time Adaption by Conservatively Minimizing Entropy. | Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang |
| 2025 | Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs. | Zhaowei Zhang, Fengshuo Bai, Qizhi Chen, Chengdong Ma, Mingzhi Wang, Haoran Sun, Zilong Zheng, Yaodong Yang |
| 2025 | CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. | Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | SymDiff: Equivariant Diffusion via Stochastic Symmetrisation. | Leo Zhang, Kianoosh Ashouritaklimi, Yee Whye Teh, Rob Cornish |
| 2025 | LoLCATs: On Low-Rank Linearizing of Large Language Models. | Michael Zhang, Simran Arora, Rahul Chalamala, Benjamin Frederick Spector, Alan Wu, Krithik Ramesh, Aaryan Singhal, Christopher R |
| 2025 | Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold. | Sixin Zhang |
| 2025 | Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models. | Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao (Frank) Yang, Hai Li |
| 2025 | Long Context Compression with Activation Beacon. | Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou |
| 2025 | A Benchmark for Semantic Sensitive Information in LLMs Outputs. | Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang |
| 2025 | Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning. | Yuheng Zhang, Dian Yu, Baolin Peng, Linfeng Song, Ye Tian, Mingyue Huo, Nan Jiang, Haitao Mi, Dong Yu |
| 2025 | Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation. | Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun |
| 2025 | A-Bench: Are LMMs Masters at Evaluating AI-generated Images? | Zicheng Zhang, Haoning Wu, Chunyi Li, Yingjie Zhou, Wei Sun, Xiongkuo Min, Zijian Chen, Xiaohong Liu, Weisi Lin, Guangtao Zhai |
| 2025 | AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution. | Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang |
| 2025 | Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer. | Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang |
| 2025 | QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing. | Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim |
| 2025 | Accessing Vision Foundation Models via ImageNet-1K. | Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu |
| 2025 | Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference. | Qining Zhang, Lei Ying |
| 2025 | IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. | Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui |
| 2025 | Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank. | Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason D. Lee, Daniel Jiang, Yonathan Efroni |
| 2025 | Multimodal Quantitative Language for Generative Recommendation. | Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian |
| 2025 | Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning. | Shumao Zhai, Ning Ge |
276–300 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)