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 | Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior. | Anming Gu, Edward Chien, Kristjan H. Greenewald |
| 2025 | SparsyFed: Sparse Adaptive Federated Learning. | Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas Donald Lane |
| 2025 | Group Ligands Docking to Protein Pockets. | Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma |
| 2025 | Retri3D: 3D Neural Graphics Representation Retrieval. | Yushi Guan, Daniel Kwan, Jean Sebastien Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh A. Ahuja, Selvakumar Panneer, Nandita Vijaykumar |
| 2025 | Faster Algorithms for Structured Linear and Kernel Support Vector Machines. | Yuzhou Gu, Zhao Song, Lichen Zhang |
| 2025 | Efficiently Parameterized Neural Metriplectic Systems. | Anthony Gruber, Kookjin Lee, Haksoo Lim, Noseong Park, Nathaniel Trask |
| 2025 | Spectro-Riemannian Graph Neural Networks. | Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos |
| 2025 | The Unreasonable Ineffectiveness of the Deeper Layers. | Andrey Gromov, Kushal Tirumala, Hassan Shapourian, Paolo Glorioso, Daniel A. Roberts |
| 2025 | Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization. | Timofei Gritsaev, Nikita Morozov, Sergey Samsonov, Daniil Tiapkin |
| 2025 | Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing. | Keltin Grimes, Marco Christiani, David Shriver, Marissa Catherine Connor |
| 2025 | A Stochastic Approach to the Subset Selection Problem via Mirror Descent. | Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat, Yaroslav Fyodorov, Ran Moshe, Fiana Raiber, Alex Shtoff, Oren Somekh, Nadav Hallak |
| 2025 | Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues. | Riccardo Grazzi, Julien Siems, Arber Zela, Jrg K. H. Franke, Frank Hutter, Massimiliano Pontil |
| 2025 | Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling. | David Grangier, Simin Fan, Skyler Seto, Pierre Ablin |
| 2025 | Utilitarian Algorithm Configuration for Infinite Parameter Spaces. | Devon R. Graham, Kevin Leyton-Brown |
| 2025 | Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance. | Sachin Goyal, Christina Baek, J. Zico Kolter, Aditi Raghunathan |
| 2025 | Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents. | Boyu Gou, Ruohan Wang, Boyuan Zheng, Yanan Xie, Cheng Chang, Yiheng Shu, Huan Sun, Yu Su |
| 2025 | T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning. | Nabarun Goswami, Hanqin Wang, Tatsuya Harada |
| 2025 | TabM: Advancing tabular deep learning with parameter-efficient ensembling. | Yury Gorishniy, Akim Kotelnikov, Artem Babenko |
| 2025 | Protein Language Model Fitness is a Matter of Preference. | Cade W. Gordon, Amy X. Lu, Pieter Abbeel |
| 2025 | Methods for Convex (L0, L1)-Smooth Optimization: Clipping, Acceleration, and Adaptivity. | Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury, Alen Aliev, Peter Richtrik, Samuel Horvth, Martin Takc |
| 2025 | Learn Your Reference Model for Real Good Alignment. | Alexey Gorbatovski, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, Yaroslav Aksenov, Ian Maksimov, Nikita Balagansky, Daniil Gavrilov |
| 2025 | Robotouille: An Asynchronous Planning Benchmark for LLM Agents. | Gonzalo Gonzalez-Pumariega, Leong Su Yean, Neha Sunkara, Sanjiban Choudhury |
| 2025 | CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale. | ZeMing Gong, Austin T. Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang |
| 2025 | PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling. | Junchao Gong, Siwei Tu, Weidong Yang, Ben Fei, Kun Chen, Wenlong Zhang, Xiaokang Yang, Wanli Ouyang, Lei Bai |
| 2025 | Steering Protein Family Design through Profile Bayesian Flow. | Jingjing Gong, Yu Pei, Siyu Long, Yuxuan Song, Zhe Zhang, Wenhao Huang, Ziyao Cao, Shuyi Zhang, Hao Zhou, Wei-Ying Ma |
2,651–2,675 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)