ICLR

RLIF: Interactive Imitation Learning as Reinforcement Learning

Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine

Comments ICLR 2024

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data

Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe

Journal ref The Twelfth International Conference on Learning Representations (ICLR 2024)

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes

Shikai Fang, Madison Cooley, Da Long, Shibo Li, Robert Kirby, Shandian Zhe

Journal ref The Twelfth International Conference on Learning Representations (ICLR 2024)

ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms

William Yang, Byron Zhang, Olga Russakovsky

Comments ICLR 2024. Code and dataset at https://github.com/princetonvisualai/imagenetood

Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models

Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray

Comments ICLR 2024

T-MARS: Improving Visual Representations by Circumventing Text Feature Learning

Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan

Comments Accepted to ICLR 2024. Oral at ICCV Datacomp 2023

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Zhihan Zhou, Yanrong Ji, Weijian Li, Pratik Dutta, Ramana Davuluri, Han Liu

Comments Accepted by ICLR 2024

Copula Conformal Prediction for Multi-step Time Series Forecasting

Sophia Sun, Rose Yu

Journal ref ICLR 2024

GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors

LI Yang, WU Ruizheng, LI Jiyong, CHEN Ying-cong

Comments Accepted to ICLR 2024 Poster. For the Appendix, please see http://yukiumi13.github.io/gnerp_page

Complete and Efficient Graph Transformers for Crystal Material Property Prediction

Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

Comments This paper has been accepted by ICLR 2024

Modality-Agnostic fMRI Decoding of Vision and Language

Mitja Nikolaus, Milad Mozafari, Nicholas Asher, Leila Reddy, Rufin VanRullen

Comments To appear at ICLR 2024 workshop on Representational Alignment (Re-Align)

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding

Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono

Comments 13 main pages, 3 figures, 4 tables, 10 appendix pages. Published as a conference paper at ICLR 2024. For more information, see https://omron-sinicx.github.io/crystalformer/

Better (pseudo-)labels for semi-supervised instance segmentation

François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek

Comments Appeared at the Practical ML for Low Resource Settings workshop at ICLR 2024

Investigating the Benefits of Projection Head for Representation Learning

Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman

Journal ref ICLR 2024

COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits

Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li

Comments Accepted to ICLR 2024

A Lie Group Approach to Riemannian Batch Normalization

Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe

Comments Accepted by ICLR 2024

Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance

Suryam Arnav Kalra, Arindam Biswas, Pabitra Mitra, Biswajit Basu

Comments Accepted as tiny paper in ICLR 2024

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency

Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu

Comments The Twelfth International Conference on Learning Representations (ICLR 2024)

Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation

Zhonghan Zhao, Kewei Chen, Dongxu Guo, Wenhao Chai, Tian Ye, Yanting Zhang, Gaoang Wang

Comments ICLR 2024 Workshop on LLM Agents

AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation

Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang

Comments Accepted to ICLR 2024

Understanding Domain Generalization: A Noise Robustness Perspective

Rui Qiao, Bryan Kian Hsiang Low

Comments Accepted to the 12th International Conference on Learning Representations (ICLR 2024). Code is available at https://github.com/qiaoruiyt/NoiseRobustDG

Identifying Policy Gradient Subspaces

Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Häufle, Bernhard Schölkopf, Dieter Büchler

Comments Published as conference paper at ICLR 2024

Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise

Rui Pan, Yuxing Liu, Xiaoyu Wang, Tong Zhang

Comments Published at ICLR 2024

Language Model Knowledge Distillation for Efficient Question Answering in Spanish

Adrián Bazaga, Pietro Liò, Gos Micklem

Comments ICLR 2024 Tiny Paper (6 pages, 2 tables)

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang

Comments Accepted to ICLR'24 Splotlight (updated version)

Looped Transformers are Better at Learning Learning Algorithms

Liu Yang, Kangwook Lee, Robert Nowak, Dimitris Papailiopoulos

Comments Accepted for publication at ICLR 2024

Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates

Nicholas E. Corrado, Josiah P. Hanna

Comments ICLR 2024

PubDef: Defending Against Transfer Attacks From Public Models

Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David Wagner

Comments ICLR 2024. Code available at https://github.com/wagner-group/pubdef

Dual-Encoders for Extreme Multi-Label Classification

Nilesh Gupta, Devvrit Khatri, Ankit S Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit Dhillon

Comments 27 pages, 8 figures

Journal ref ICLR 2024 camera-ready publication

Memory-Consistent Neural Networks for Imitation Learning

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee

Comments ICLR 2024. 26 pages (9 main pages)