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 | Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement. | Jaehun Jung, Faeze Brahman, Yejin Choi |
| 2025 | Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification. | Hyunji Jung, Hanseul Cho, Chulhee Yun |
| 2025 | Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy. | Ishank Juneja, Carlee Joe-Wong, Osman Yagan |
| 2025 | Coreset Spectral Clustering. | Ben Jourdan, Gregory Schwartzman, Peter Macgregor, He Sun |
| 2025 | gRNAde: Geometric Deep Learning for 3D RNA inverse design. | Chaitanya K. Joshi, Arian Rokkum Jamasb, Ramn Vias Torn, Charles Harris, Simon V. Mathis, Alex Morehead, Rishabh Anand, Pietro Lio |
| 2025 | Lambda-Skip Connections: the architectural component that prevents Rank Collapse. | Federico Arangath Joseph, Jerome Sieber, Melanie Nicole Zeilinger, Carmen Amo Alonso |
| 2025 | Privately Counting Partially Ordered Data. | Matthew Joseph, Mnica Ribero, Alexander Yu |
| 2025 | Sufficient Context: A New Lens on Retrieval Augmented Generation Systems. | Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian |
| 2025 | Rethinking Fair Representation Learning for Performance-Sensitive Tasks. | Charles Jones, Fabio De Sousa Ribeiro, Mlanie Roschewitz, Daniel C. Castro, Ben Glocker |
| 2025 | Uncovering Gaps in How Humans and LLMs Interpret Subjective Language. | Erik Jones, Arjun Patrawala, Jacob Steinhardt |
| 2025 | IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model. | Yatai Ji, Shilong Zhang, Jie Wu, Peize Sun, Weifeng Chen, Xuefeng Xiao, Sidi Yang, Yujiu Yang, Ping Luo |
| 2025 | Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features. | Feng Ji, Yanan Zhao, Kai Zhao, Hanyang Meng, Jielong Yang, Wee Peng Tay |
| 2025 | Beware of Calibration Data for Pruning Large Language Models. | Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang |
| 2025 | Efficient Learning with Sine-Activated Low-Rank Matrices. | Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey |
| 2025 | Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. | Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan . Arik |
| 2025 | Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model. | Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong |
| 2025 | Fitting Networks with a Cancellation Trick. | Jiashun Jin, Jingming Wang |
| 2025 | Enhancing Robust Fairness via Confusional Spectral Regularization. | Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu |
| 2025 | LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. | Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas |
| 2025 | LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias. | Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu |
| 2025 | Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic. | Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen |
| 2025 | The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws. | Tian Jin, Ahmed Imtiaz Humayun, Utku Evci, Suvinay Subramanian, Amir Yazdanbakhsh, Dan Alistarh, Gintare Karolina Dziugaite |
| 2025 | Predicate Hierarchies Improve Few-Shot State Classification. | Emily Jin, Joy Hsu, Jiajun Wu |
| 2025 | S4M: S4 for multivariate time series forecasting with Missing values. | Peng Jing, Meiqi Yang, Qiong Zhang, Xiaoxiao Li |
| 2025 | DSBench: How Far Are Data Science Agents from Becoming Data Science Experts? | Liqiang Jing, Zhehui Huang, Xiaoyang Wang, Wenlin Yao, Wenhao Yu, Kaixin Ma, Hongming Zhang, Xinya Du, Dong Yu |
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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)