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 | Advantage-Guided Distillation for Preference Alignment in Small Language Models. | Shiping Gao, Fanqi Wan, Jiajian Guo, Xiaojun Quan, Qifan Wang |
| 2025 | On Large Language Model Continual Unlearning. | Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu |
| 2025 | Scaling and evaluating sparse autoencoders. | Leo Gao, Tom Dupr la Tour, Henk Tillman, Gabriel Goh, Rajan Troll, Alec Radford, Ilya Sutskever, Jan Leike, Jeffrey Wu |
| 2025 | Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs. | Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan |
| 2025 | Global Convergence in Neural ODEs: Impact of Activation Functions. | Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao |
| 2025 | G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. | Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong |
| 2025 | Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs. | Xin Gao, Jian Pu |
| 2025 | 6DGS: Enhanced Direction-Aware Gaussian Splatting for Volumetric Rendering. | Zhongpai Gao, Benjamin Planche, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Ziyan Wu |
| 2025 | SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback. | Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian, Yuzhuo Fu, Bin Dai |
| 2025 | Model Equality Testing: Which Model is this API Serving? | Irena Gao, Percy Liang, Carlos Guestrin |
| 2025 | Learning Equivariant Non-Local Electron Density Functionals. | Nicholas Gao, Eike Eberhard, Stephan Gnnemann |
| 2025 | AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies. | Jian Gao, Weidong Cao, Junyi Yang, Xuan Zhang |
| 2025 | AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction. | Jingnan Gao, Zhuo Chen, Xiaokang Yang, Yichao Yan |
| 2025 | Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. | Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang |
| 2025 | Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model. | Chaochen Gao, Xing Wu, Qi Fu, Songlin Hu |
| 2025 | Semi-Supervised CLIP Adaptation by Enforcing Semantic and Trapezoidal Consistency. | Kai Gan, Bo Ye, Min-Ling Zhang, Tong Wei |
| 2025 | PianoMotion10M: Dataset and Benchmark for Hand Motion Generation in Piano Performance. | Qijun Gan, Song Wang, Shengtao Wu, Jianke Zhu |
| 2025 | Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective. | Zeyu Gan, Yong Liu |
| 2025 | Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. | Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang |
| 2025 | Training One-Dimensional Graph Neural Networks is NP-Hard. | Robert Ganian, Mathis Rocton, Simon Wietheger |
| 2025 | The Computational Complexity of Positive Non-Clashing Teaching in Graphs. | Robert Ganian, Liana Khazaliya, Fionn Mc Inerney, Mathis Rocton |
| 2025 | Forte : Finding Outliers with Representation Typicality Estimation. | Debargha Ganguly, Warren Richard Morningstar, Andrew Seohwan Yu, Vipin Chaudhary |
| 2025 | Interpreting the Second-Order Effects of Neurons in CLIP. | Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt |
| 2025 | Simplifying Deep Temporal Difference Learning. | Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Nicolaus Foerster, Mario Martin |
| 2025 | Deep MMD Gradient Flow without adversarial training. | Alexandre Galashov, Valentin De Bortoli, Arthur Gretton |
2,726–2,750 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)