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 | TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation. | Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec |
| 2025 | Accurate and Scalable Graph Neural Networks via Message Invariance. | Zhihao Shi, Jie Wang, Zhiwei Zhuang, Xize Liang, Bin Li, Feng Wu |
| 2025 | Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. | Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin |
| 2025 | SelKD: Selective Knowledge Distillation via Optimal Transport Perspective. | Liangliang Shi, Zhengyan Shi, Junchi Yan |
| 2025 | The Hidden Cost of Waiting for Accurate Predictions. | Ali Shirali, Ariel D. Procaccia, Rediet Abebe |
| 2025 | Locality-aware Gaussian Compression for Fast and High-quality Rendering. | Seungjoo Shin, Jaesik Park, Sunghyun Cho |
| 2025 | Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control. | Sunguk Shin, Youngjoon Kim |
| 2025 | TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models. | Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba |
| 2025 | BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. | Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting |
| 2025 | Weak-to-Strong Generalization Through the Data-Centric Lens. | Changho Shin, John Cooper, Frederic Sala |
| 2025 | Distilling Dataset into Neural Field. | Donghyeok Shin, HeeSun Bae, Gyuwon Sim, Wanmo Kang, Il-Chul Moon |
| 2025 | ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models. | Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo |
| 2025 | From Commands to Prompts: LLM-based Semantic File System for AIOS. | Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang |
| 2025 | Bisimulation Metric for Model Predictive Control. | Yutaka Shimizu, Masayoshi Tomizuka |
| 2025 | Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction. | Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan |
| 2025 | Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. | Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu |
| 2025 | Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data. | Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu |
| 2025 | Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs. | Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi, Kun He, Lecheng Ruan, Qining Wang |
| 2025 | When Graph Neural Networks Meet Dynamic Mode Decomposition. | Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao |
| 2025 | MUSE: Machine Unlearning Six-Way Evaluation for Language Models. | Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang |
| 2025 | FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking. | Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang |
| 2025 | Monte Carlo Planning with Large Language Model for Text-Based Game Agents. | Zijing Shi, Meng Fang, Ling Chen |
| 2025 | On Quantizing Neural Representation for Variable-Rate Video Coding. | Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma |
| 2025 | Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation. | Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov |
| 2025 | Chemistry-Inspired Diffusion with Non-Differentiable Guidance. | Yuchen Shen, Chenhao Zhang, Sijie Fu, Chenghui Zhou, Newell Washburn, Barnabs Pczos |
1,151–1,175 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)