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 | UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation. | Huimin Lu, Masaru Isonuma, Junichiro Mori, Ichiro Sakata |
| 2025 | What Makes a Good Diffusion Planner for Decision Making? | Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li |
| 2025 | Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. | Cong Lu, Shengran Hu, Jeff Clune |
| 2025 | ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish. | Jan-Matthis Lueckmann, Alexander Immer, Alex Bo-Yuan Chen, Peter H. Li, Mariela D. Petkova, Nirmala A. Iyer, Luuk Willem Hesselink, Aparna Dev, Gudrun Ihrke, Woohyun Park, Alyson Petruncio, Aubrey Weigel, Wyatt Korff, Florian Engert, Jeff Lichtman, Misha B. Ahrens, Michal Januszewski, Viren Jain |
| 2025 | Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity. | Yizhuo Lu, Changde Du, Chong Wang, Xuanliu Zhu, Liuyun Jiang, Xujin Li, Huiguang He |
| 2025 | Unlocking Point Processes through Point Set Diffusion. | David Ldke, Enric Rabasseda Ravents, Marcel Kollovieh, Stephan Gnnemann |
| 2025 | ThermalGaussian: Thermal 3D Gaussian Splatting. | Rongfeng Lu, Hangyu Chen, Zunjie Zhu, Yuhang Qin, Ming Lu, Le Zhang, Chenggang Yan, Anke Xue |
| 2025 | Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning. | Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang |
| 2025 | Structure Language Models for Protein Conformation Generation. | Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang |
| 2025 | ProtPainter: Draw or Drag Protein via Topology-guided Diffusion. | Zhengxi Lu, Shizhuo Cheng, Tintin Jiang, Yan Zhang, Min Zhang |
| 2025 | Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework. | Ryan Lucas, Rahul Mazumder |
| 2025 | A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language. | Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert P. Dick, Hidenori Tanaka |
| 2025 | Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense. | Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao |
| 2025 | Mitigating Spurious Correlations in Zero-Shot Multimodal Models. | Shenyu Lu, Junyi Chai, Xiaoqian Wang |
| 2025 | Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. | Joo Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell |
| 2025 | nGPT: Normalized Transformer with Representation Learning on the Hypersphere. | Ilya Loshchilov, Cheng-Ping Hsieh, Simeng Sun, Boris Ginsburg |
| 2025 | Deep Kernel Posterior Learning under Infinite Variance Prior Weights. | Jorge Lora, Anindya Bhadra |
| 2025 | Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models. | ngela Lpez-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis |
| 2025 | Bridging the Data Provenance Gap Across Text, Speech, and Video. | Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Naana Obeng-Marnu, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad A. Alghamdi, Vu Minh Chien, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, et al. |
| 2025 | Inverse Attention Agents for Multi-Agent Systems. | Qian Long, Ruoyan Li, Minglu Zhao, Tao Gao, Demetri Terzopoulos |
| 2025 | Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL. | Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao |
| 2025 | LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models. | Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li |
| 2025 | When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers. | Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang |
| 2025 | Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting. | Qi Li, Zhenyu Zhang, Lei Yao, Zhaoxia Li, Tianyi Zhong, Yong Zhang |
| 2025 | Is Your Multimodal Language Model Oversensitive to Safe Queries? | Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh |
1,776–1,800 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)