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 | Analytic DAG Constraints for Differentiable DAG Learning. | Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi |
| 2025 | Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. | Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye |
| 2025 | Theory on Mixture-of-Experts in Continual Learning. | Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness B. Shroff |
| 2025 | SegLLM: Multi-round Reasoning Segmentation with Large Language Models. | Xudong Wang, Shaolun Zhang, Shufan Li, Kehan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell |
| 2025 | LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics. | Thomas Robert, Mher Safaryan, Ionut-Vlad Modoranu, Dan Alistarh |
| 2025 | Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs. | Yuhan Chen, Yihong Luo, Yifan Song, Pengwen Dai, Jing Tang, Xiaochun Cao |
| 2025 | econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians. | Can Zhang, Gim Hee Lee |
| 2025 | Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection. | Yuguang Yang, Tongfei Chen, Haoyu Huang, Linlin Yang, Chunyu Xie, Dawei Leng, Xianbin Cao, Baochang Zhang |
| 2025 | InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences. | Chenyang Zhu, Kai Li, Yue Ma, Longxiang Tang, Chengyu Fang, Chubin Chen, Qifeng Chen, Xiu Li |
| 2025 | RuAG: Learned-rule-augmented Generation for Large Language Models. | Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences. | Yuxin Wang, Xiaomeng Zhu, Weimin Lyu, Saeed Hassanpour, Soroush Vosoughi |
| 2025 | FLOPS: Forward Learning with OPtimal Sampling. | Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng |
| 2025 | Factor Graph-based Interpretable Neural Networks. | Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia |
| 2025 | SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. | Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan |
| 2025 | Image and Video Tokenization with Binary Spherical Quantization. | Yue Zhao, Yuanjun Xiong, Philipp Krhenbhl |
| 2025 | Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions. | Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low |
| 2025 | Designing Concise ConvNets with Columnar Stages. | Ashish Kumar, Jaesik Park |
| 2025 | CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding. | Guo Chen, Yicheng Liu, Yifei Huang, Baoqi Pei, Jilan Xu, Yuping He, Tong Lu, Yali Wang, Limin Wang |
| 2025 | MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. | Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng |
| 2025 | Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron. | Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh |
| 2025 | Regulatory DNA Sequence Design with Reinforcement Learning. | Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen |
| 2025 | Law of the Weakest Link: Cross Capabilities of Large Language Models. | Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten |
| 2025 | MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models. | Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao |
| 2025 | COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation. | Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang |
| 2025 | Boosting Methods for Interval-censored Data with Regression and Classification. | Yuan Bian, Grace Y. Yi, Wenqing He |
3,501–3,525 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)