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 | Identification of Intermittent Temporal Latent Process. | Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang |
| 2025 | Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model. | Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, Eric Eaton |
| 2025 | Plastic Learning with Deep Fourier Features. | Alex Lewandowski, Dale Schuurmans, Marlos C. Machado |
| 2025 | Learning Continually by Spectral Regularization. | Alex Lewandowski, Michal Bortkiewicz, Saurabh Kumar, Andrs Gyrgy, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado |
| 2025 | SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. | Daniel Levy, Siba Smarak Panigrahi, Skou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh |
| 2025 | Selective Attention Improves Transformer. | Yaniv Leviathan, Matan Kalman, Yossi Matias |
| 2025 | PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer. | Pierre-David Letourneau, Manish Kumar Singh, Hsin-Pai Cheng, Shizhong Han, Yunxiao Shi, Dalton Jones, Matthew Harper Langston, Hong Cai, Fatih Porikli |
| 2025 | Jamba: Hybrid Transformer-Mamba Language Models. | Barak Lenz, Opher Lieber, Alan Arazi, Amir Bergman, Avshalom Manevich, Barak Peleg, Ben Aviram, Chen Almagor, Clara Fridman, Dan Padnos, Daniel Gissin, Daniel Jannai, Dor Muhlgay, Dor Zimberg, Edden M. Gerber, Elad Dolev, Eran Krakovsky, Erez Safahi, Erez Schwartz, Gal Cohen, et al. |
| 2025 | Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts. | Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho |
| 2025 | Taming Overconfidence in LLMs: Reward Calibration in RLHF. | Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang |
| 2025 | PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. | Pablo Lemos, Sammy Nasser Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault Levasseur, Yashar Hezaveh |
| 2025 | Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment. | Minh-Quan Le, Gaurav Mittal, Tianjian Meng, A S. M. Iftekhar, Vishwas Suryanarayanan, Barun Patra, Dimitris Samaras, Mei Chen |
| 2025 | Universal generalization guarantees for Wasserstein distributionally robust models. | Tam Le, Jrme Malick |
| 2025 | Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling. | Timothe G. Leleu, Sam Reifenstein |
| 2025 | TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram. | Mingxi Lei, Chunwei Ma, Meng Ding, Yufan Zhou, Ziyun Huang, Jinhui Xu |
| 2025 | Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding. | Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti |
| 2025 | PaLD: Detection of Text Partially Written by Large Language Models. | Eric Lei, Hsiang Hsu, Chun-Fu Chen |
| 2025 | Grounding Multimodal Large Language Model in GUI World. | Weixian Lei, Difei Gao, Mike Zheng Shou |
| 2025 | Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. | Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu |
| 2025 | Robust Representation Consistency Model via Contrastive Denoising. | Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar |
| 2025 | Segment Any 3D Object with Language. | Seungjun Lee, Yuyang Zhao, Gim Hee Lee |
| 2025 | Leave-One-Out Stable Conformal Prediction. | Kiljae Lee, Yuan Zhang |
| 2025 | Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models. | Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo |
| 2025 | Can One Modality Model Synergize Training of Other Modality Models? | Jae-Jun Lee, Sung Whan Yoon |
| 2025 | Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning. | Hyun-Kyu Lee, Sung Whan Yoon |
2,101–2,125 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)