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 | CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes. | Seong-Joon Park, Heeyoul Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No |
| 2025 | Cross-Attention Head Position Patterns Can Align with Human Visual Concepts in Text-to-Image Generative Models. | Jungwon Park, Jungmin Ko, Dongnam Byun, Jangwon Suh, Wonjong Rhee |
| 2025 | Monet: Mixture of Monosemantic Experts for Transformers. | Jungwoo Park, Ahn Young Jin, Kee-Eung Kim, Jaewoo Kang |
| 2025 | ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models. | Seonghwan Park, Jaehyeon Jeong, Yongjun Kim, Jaeho Lee, Namhoon Lee |
| 2025 | I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps. | Junseo Park, Hyeryung Jang |
| 2025 | OGBench: Benchmarking Offline Goal-Conditioned RL. | Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine |
| 2025 | Scaling Transformers for Low-Bitrate High-Quality Speech Coding. | Julian D. Parker, Anton Smirnov, Jordi Pons, CJ Carr, Zack Zukowski, Zach Evans, Xubo Liu |
| 2025 | MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory. | Junyeong Park, Junmo Cho, Sungjin Ahn |
| 2025 | Near, far: Patch-ordering enhances vision foundation models' scene understanding. | Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano |
| 2025 | Restyling Unsupervised Concept Based Interpretable Networks with Generative Models. | Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alch-Buc |
| 2025 | Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs. | Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava |
| 2025 | Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations? | Letitia Parcalabescu, Anette Frank |
| 2025 | Causal Graphical Models for Vision-Language Compositional Understanding. | Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto, Lorenzo Baraldi, Rita Cucchiara |
| 2025 | T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching. | Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar |
| 2025 | UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP. | Wenzheng Pan, Hao Xiong, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan |
| 2025 | SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents. | Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao |
| 2025 | Precise Localization of Memories: A Fine-grained Neuron-level Knowledge Editing Technique for LLMs. | Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang, Juanzi Li, Meng Wang |
| 2025 | Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models. | Zhenyu Pan, Haozheng Luo, Manling Li, Han Liu |
| 2025 | Efficient stagewise pretraining via progressive subnetworks. | Abhishek Panigrahi, Nikunj Saunshi, Kaifeng Lyu, Sobhan Miryoosefi, Sashank J. Reddi, Satyen Kale, Sanjiv Kumar |
| 2025 | Progressive distillation induces an implicit curriculum. | Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Andrej Risteski, Surbhi Goel |
| 2025 | Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception. | Ziqi Pang, Xin Xu, Yu-Xiong Wang |
| 2025 | Improving Data Efficiency via Curating LLM-Driven Rating Systems. | Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei |
| 2025 | Learning View-invariant World Models for Visual Robotic Manipulation. | Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai, Zhen-Yu Zhang, Gang Niu, Masashi Sugiyama, Yang Yu |
| 2025 | Heavy-Tailed Diffusion Models. | Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani |
| 2025 | Privacy Auditing of Large Language Models. | Ashwinee Panda, Xinyu Tang, Christopher A. Choquette-Choo, Milad Nasr, Prateek Mittal |
1,476–1,500 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)