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 | Regretful Decisions under Label Noise. | Sujay Nagaraj, Yang Liu, Flvio P. Calmon, Berk Ustun |
| 2025 | Robust Root Cause Diagnosis using In-Distribution Interventions. | Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma |
| 2025 | NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative. | Asmar Nadeem, Faegheh Sardari, Robert Dawes, Syed Sameed Husain, Adrian Hilton, Armin Mustafa |
| 2025 | Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning. | Gyoung S. Na, Chanyoung Park |
| 2025 | Horizon Generalization in Reinforcement Learning. | Vivek Myers, Catherine Ji, Benjamin Eysenbach |
| 2025 | Tracking objects that change in appearance with phase synchrony. | Sabine Muzellec, Drew Linsley, Alekh Karkada Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre |
| 2025 | Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning. | Calarina Muslimani, Matthew E. Taylor |
| 2025 | Active Learning for Neural PDE Solvers. | Daniel Musekamp, Marimuthu Kalimuthu, David Holzmller, Makoto Takamoto, Mathias Niepert |
| 2025 | Provably Accurate Shapley Value Estimation via Leverage Score Sampling. | Christopher Musco, R. Teal Witter |
| 2025 | Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. | Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hllermeier, Barbara Hammer |
| 2025 | Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers. | Tiberiu Musat |
| 2025 | Severing Spurious Correlations with Data Pruning. | Varun Mulchandani, Jung-Eun Kim |
| 2025 | Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks. | Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu |
| 2025 | Balanced Ranking with Relative Centrality: A multi-core periphery perspective. | Chandra Sekhar Mukherjee, Jiapeng Zhang |
| 2025 | Expected Return Symmetries. | Darius Muglich, Johannes Forkel, Elise van der Pol, Jakob Nicolaus Foerster |
| 2025 | OLMoE: Open Mixture-of-Experts Language Models. | Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, et al. |
| 2025 | Generative Representational Instruction Tuning. | Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela |
| 2025 | Continuous Diffusion for Mixed-Type Tabular Data. | Markus Mueller, Kathrin Gruber, Dennis Fok |
| 2025 | MotherNet: Fast Training and Inference via Hyper-Network Transformers. | Andreas C. Mueller, Carlo Curino, Raghu Ramakrishnan |
| 2025 | CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations. | Noga Mudrik, Ryan Ly, Oliver Rbel, Adam Shabti Charles |
| 2025 | Efficient Dictionary Learning with Switch Sparse Autoencoders. | Anish Mudide, Joshua Engels, Eric J. Michaud, Max Tegmark, Christian Schrder de Witt |
| 2025 | SLoPe: Double-Pruned Sparse Plus Lazy Low-Rank Adapter Pretraining of LLMs. | Mohammad Mozaffari, Amir Yazdanbakhsh, Zhao Zhang, Maryam Mehri Dehnavi |
| 2025 | HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters. | Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang |
| 2025 | Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture. | Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli |
| 2025 | Improving Semantic Understanding in Speech Language Models via Brain-tuning. | Omer Moussa, Dietrich Klakow, Mariya Toneva |
1,601–1,625 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)