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 | Enhancing Prediction Performance through Influence Measure. | Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou |
| 2025 | Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks. | Runpeng Yu, Xinchao Wang |
| 2025 | VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents. | Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun |
| 2025 | Divergence of Neural Tangent Kernel in Classification Problems. | Zixiong Yu, Songtao Tian, Guhan Chen |
| 2025 | Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA. | Changmin Yu, Maneesh Sahani, Mt Lengyel |
| 2025 | Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark. | Haining Yu, Yizhou Sun |
| 2025 | URLOST: Unsupervised Representation Learning without Stationarity or Topology. | Zeyu Yun, Juexiao Zhang, Yann LeCun, Yubei Chen |
| 2025 | Language-Assisted Feature Transformation for Anomaly Detection. | EungGu Yun, Heonjin Ha, Yeongwoo Nam, Bryan Dongik Lee |
| 2025 | Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power. | Lijia Yu, Yibo Miao, Yifan Zhu, Xiao-Shan Gao, Lijun Zhang |
| 2025 | HOPE for a Robust Parameterization of Long-memory State Space Models. | Annan Yu, Michael W. Mahoney, N. Benjamin Erichson |
| 2025 | Unhackable Temporal Reward for Scalable Video MLLMs. | En Yu, Kangheng Lin, Liang Zhao, Yana Wei, Zining Zhu, Haoran Wei, Jianjian Sun, Zheng Ge, Xiangyu Zhang, Jingyu Wang, Wenbing Tao |
| 2025 | Node-Time Conditional Prompt Learning in Dynamic Graphs. | Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang |
| 2025 | In vivo cell-type and brain region classification via multimodal contrastive learning. | Han Yu, Hanrui Lyu, YiXun Xu, Charlie Windolf, Eric Kenji Lee, Fan Yang, Andrew M. Shelton, Olivier Winter, International Brain Laboratory, Eva L. Dyer, Chandramouli Chandrasekaran, Nicholas A. Steinmetz, Liam Paninski, Cole Lincoln Hurwitz |
| 2025 | Tuning Frequency Bias of State Space Models. | Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson |
| 2025 | ADAM: An Embodied Causal Agent in Open-World Environments. | Shu Yu, Chaochao Lu |
| 2025 | Ranking-aware adapter for text-driven image ordering with CLIP. | Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai |
| 2025 | Long-Context Linear System Identification. | Oguz Kaan Yksel, Mathieu Even, Nicolas Flammarion |
| 2025 | Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. | Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie |
| 2025 | High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity. | Qian Yu, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Lihe Zhang, Huchuan Lu |
| 2025 | Frame-Voyager: Learning to Query Frames for Video Large Language Models. | Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun |
| 2025 | UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models. | Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong |
| 2025 | MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation. | Zhaoning Yu, Hongyang Gao |
| 2025 | Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks. | Wangjia Yu, Xiaomeng Fu, Qiao Li, Jizhong Han, Xiaodan Zhang |
| 2025 | Inference Scaling for Long-Context Retrieval Augmented Generation. | Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky |
| 2025 | DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search. | Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu |
326–350 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)