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 | One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt. | Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Shahbaz Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng |
| 2025 | NetMoE: Accelerating MoE Training through Dynamic Sample Placement. | Xinyi Liu, Yujie Wang, Fangcheng Fu, Xupeng Miao, Shenhan Zhu, Xiaonan Nie, Bin Cui |
| 2025 | Score-based free-form architectures for high-dimensional Fokker-Planck equations. | Feng Liu, Faguo Wu, Xiao Zhang |
| 2025 | CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair. | Mingjie Liu, Yun-Da Tsai, Wenfei Zhou, Haoxing Ren |
| 2025 | A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals. | Grace Liu, Michael Tang, Benjamin Eysenbach |
| 2025 | Adaptive Batch Size for Privately Finding Second-Order Stationary Points. | Daogao Liu, Kunal Talwar |
| 2025 | Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning. | Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen |
| 2025 | Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation. | Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang |
| 2025 | Image Watermarks are Removable using Controllable Regeneration from Clean Noise. | Yepeng Liu, Yiren Song, Hai Ci, Yu Zhang, Haofan Wang, Mike Zheng Shou, Yuheng Bu |
| 2025 | Learning Molecular Representation in a Cell. | Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E. Carpenter, Meng Jiang, Shantanu Singh |
| 2025 | Going Beyond Static: Understanding Shifts with Time-Series Attribution. | Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar |
| 2025 | Timer-XL: Long-Context Transformers for Unified Time Series Forecasting. | Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long |
| 2025 | Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning. | Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian |
| 2025 | Training-Free Activation Sparsity in Large Language Models. | James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun |
| 2025 | Tool-Planner: Task Planning with Clusters across Multiple Tools. | Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yuwei Zhang, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du |
| 2025 | Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding. | Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yanxin Shen, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong Zhang |
| 2025 | ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs. | Andrew Liu, Henry Prior, Gargi Balasubramaniam, Rivka Moroshko, Amir Zait, Ilia Labzovsky, Danny Karmon, Ishita Dasgupta, Kim Stachenfeld, Kenneth Marino |
| 2025 | Harnessing Webpage UIs for Text-Rich Visual Understanding. | Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue |
| 2025 | Think while You Generate: Discrete Diffusion with Planned Denoising. | Sulin Liu, Juno Nam, Andrew Campbell, Hannes Strk, Yilun Xu, Tommi S. Jaakkola, Rafael Gmez-Bombarelli |
| 2025 | Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. | Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin |
| 2025 | Expected Sliced Transport Plans. | Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri |
| 2025 | Skill Expansion and Composition in Parameter Space. | Tenglong Liu, Jianxiong Li, Yinan Zheng, Haoyi Niu, Yixing Lan, Xin Xu, Xianyuan Zhan |
| 2025 | UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. | Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro |
| 2025 | Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective. | Yiming Liu, Kezhao Liu, Yao Xiao, Ziyi Dong, Xiaogang Xu, Pengxu Wei, Liang Lin |
| 2025 | Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels. | Zhizheng Liu, Joe Lin, Wayne Wu, Bolei Zhou |
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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)