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 | Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later. | Han-Jia Ye, Huai-Hong Yin, De-Chuan Zhan, Wei-Lun Chao |
| 2025 | LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement. | Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin |
| 2025 | Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. | Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang |
| 2025 | Implicit Search via Discrete Diffusion: A Study on Chess. | Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong |
| 2025 | How Far Are We from True Unlearnability? | Kai Ye, Liangcai Su, Chenxiong Qian |
| 2025 | Fast Training of Sinusoidal Neural Fields via Scaling Initialization. | Taesun Yeom, Sangyoon Lee, Jaeho Lee |
| 2025 | StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces. | Kyeongmin Yeo, Jaihoon Kim, Minhyuk Sung |
| 2025 | LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization. | Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar |
| 2025 | HELMET: How to Evaluate Long-context Models Effectively and Thoroughly. | Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen |
| 2025 | LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning. | Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang |
| 2025 | No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images. | Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys, Ming-Hsuan Yang, Songyou Peng |
| 2025 | Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance. | Jiasheng Ye, Peiju Liu, Tianxiang Sun, Jun Zhan, Yunhua Zhou, Xipeng Qiu |
| 2025 | Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision. | Yaowen Ye, Cassidy Laidlaw, Jacob Steinhardt |
| 2025 | NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields. | Hanqiao Ye, Yuzhou Liu, Yangdong Liu, Shuhan Shen |
| 2025 | Learning LLM-as-a-Judge for Preference Alignment. | Ziyi Ye, Xiangsheng Li, Qiuchi Li, Qingyao Ai, Yujia Zhou, Wei Shen, Dong Yan, Yiqun Liu |
| 2025 | Latent Action Pretraining from Videos. | Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo |
| 2025 | Training-Free Diffusion Model Alignment with Sampling Demons. | Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen |
| 2025 | Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. | Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong |
| 2025 | ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. | Zihan Ye, Shreyank N. Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin |
| 2025 | Rational Decision-Making Agent with Learning Internal Utility Judgment. | Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. | Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen |
| 2025 | Differential Transformer. | Tianzhu Ye, Li Dong, Yuqing Xia, Yutao Sun, Yi Zhu, Gao Huang, Furu Wei |
| 2025 | mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models. | Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou |
| 2025 | On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation. | Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan |
| 2025 | DRL: Decomposed Representation Learning for Tabular Anomaly Detection. | Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang |
401–425 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)