ICLR

ClawMachine: Learning to Fetch Visual Tokens for Referential Comprehension

Tianren Ma, Lingxi Xie, Yunjie Tian, Boyu Yang, Qixiang Ye

Comments ICLR 2025. Code is available at github.com/martian422/ClawMachine

Enhancing Robust Fairness via Confusional Spectral Regularization

Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu

Comments ICLR 2025

AdaWM: Adaptive World Model based Planning for Autonomous Driving

Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Liu Ren, Junshan Zhang

Comments ICLR 2025

Test-time Adaptation for Regression by Subspace Alignment

Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai, Tomoki Hamagami

Comments Accepted to ICLR 2025

Unlocking the Potential of Model Calibration in Federated Learning

Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton

Comments ICLR 2025

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs

Yuhao Wu, Ming Shan Hee, Zhiqing Hu, Roy Ka-Wei Lee

Comments ICLR 2025; Github: https://github.com/mozhu621/LongGenBench/

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain

Arjun Roy, Kaushik Roy

Comments ICLR 2025; 10 pages content, 5 pages appendix, 4 figures, 9 tables; Code @ https://github.com/ar-roy/dct-cryptonets

Efficient and Accurate Explanation Estimation with Distribution Compression

Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek

Comments ICLR 2025. Code: https://github.com/hbaniecki/compress-then-explain

Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning

Mingyuan Fan, Zhanyi Hu, Fuyi Wang, Cen Chen

Comments Accepted to ICLR 2025

CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning

Huaiguang Cai

Comments Rejected by ICLR 2025. https://openreview.net/forum?id=uVMZgtw2pf

How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?

Wenxuan Li, Alan Yuille, Zongwei Zhou

Comments Accepted to ICLR-2024

Tell me about yourself: LLMs are aware of their learned behaviors

Jan Betley, Xuchan Bao, Martín Soto, Anna Sztyber-Betley, James Chua, Owain Evans

Comments Submitted to ICLR 2025. 17 pages, 13 figures

Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training

Paul Doucet, Benjamin Estermann, Till Aczel, Roger Wattenhofer

Comments Accepted at ICLR 2024 Workshop on Practical Machine Learning for Low Resource Settings (PML4LRS)

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models

Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

Comments The short version (v4) has been accepted as a non-archival workshop paper at AGI@ICLR 2024, and the full version has been accepted by the main track of AAAI/EAAI 2025

Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps

Henry Li, Ronen Basri, Yuval Kluger

Comments Spotlight at ICLR 2024

Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks

David A. R. Robin, Kevin Scaman, Marc Lelarge

Comments The Twelfth International Conference on Learning Representations, May 2024, Vienna, Austria

Consistency Checks for Language Model Forecasters

Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez, Vineeth Bhat, Adam Shen, Evan Wang, Florian Tramèr

Comments 55 pages, 25 figures. Submitted to ICLR 2025

Decoupling regularization from the action space

Sobhan Mohammadpour, Emma Frejinger, Pierre-Luc Bacon

Journal ref The Twelfth International Conference on Learning Representations, 2024

Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World

Rujie Wu, Xiaojian Ma, Zhenliang Zhang, Wei Wang, Qing Li, Song-Chun Zhu, Yizhou Wang

Comments Accepted to ICLR 2024

Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?

Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Celine Lin

Comments Accepted at ICLR 2022

CPT: Efficient Deep Neural Network Training via Cyclic Precision

Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Celine Lin

Comments Accepted at ICLR 2021 (Spotlight)

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li

Comments Accepted by ICLR 2024

AfriHG: News headline generation for African Languages

Toyib Ogunremi, Serah Akojenu, Anthony Soronnadi, Olubayo Adekanmbi, David Ifeoluwa Adelani

Comments Accepted to AfricaNLP Workshop at ICLR 2024

YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text

Akindele Michael Olawole, Jesujoba O. Alabi, Aderonke Busayo Sakpere, David I. Adelani

Comments Accepted at AfricaNLP Workshop at ICLR 2024

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu

Comments accepted by ICLR 2024

Provable Uncertainty Decomposition via Higher-Order Calibration

Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, Udi Wieder

Comments Submitted to ICLR 2025

Object-Centric Learning with Slot Mixture Module

Daniil Kirilenko, Vitaliy Vorobyov, Alexey K. Kovalev, Aleksandr I. Panov

Comments Published as a conference paper at ICLR 2024

Reconciling Spatial and Temporal Abstractions for Goal Representation

Mehdi Zadem, Sergio Mover, Sao Mai Nguyen

Journal ref ICLR 2024

Representation Learning of Daily Movement Data Using Text Encoders

Alexander Capstick, Tianyu Cui, Yu Chen, Payam Barnaghi

Comments Accepted at ICLR 2024 Workshop on Learning from Time Series For Health: https://openreview.net/forum?id=mmxNNwxvWG

Journal ref International Conference on Learning Representations 2024 Workshop on Learning from Time Series For Health

Holistic Adversarially Robust Pruning

Qi Zhao, Christian Wressnegger

Comments Accepted by ICLR 2023