ICLR

Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization

Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn, Vaneet Aggarwal

Comments This paper is published in ICLR 2024. This version includes a correction for regret bounds in the full-information zeroth order feedback setting (see the footnote on page 1 for details)

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf

Comments ICLR 2024 (v2: 34 pages, 19 figures)

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests

Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

Comments ICLR 2024 (Spotlight)

On Achieving Optimal Adversarial Test Error

Justin D. Li, Matus Telgarsky

Comments ICLR 2023; bugs fixed

Multi-View Representation is What You Need for Point-Cloud Pre-Training

Siming Yan, Chen Song, Youkang Kong, Qixing Huang

Comments Published in ICLR 2024

Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing

Jiayi Wei, Greg Durrett, Isil Dillig

Comments The Twelfth International Conference on Learning Representations (2024)

Exploring Weight Balancing on Long-Tailed Recognition Problem

Naoya Hasegawa, Issei Sato

Comments Paper accepted for publication at ICLR 2024

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining

Siming Yan, Yuqi Yang, Yuxiao Guo, Hao Pan, Peng-shuai Wang, Xin Tong, Yang Liu, Qixing Huang

Comments Published in ICLR 2024

Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND

Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay

Comments The Twelfth International Conference on Learning Representations

Rethinking The Uniformity Metric in Self-Supervised Learning

Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang

Journal ref ICLR 2024

Ensemble Distillation for Unsupervised Constituency Parsing

Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou

Comments Accepted by International Conference on Learning Representations (ICLR) 2024

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning

Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee

Comments ICLR 2024

Improving Mutual Information Estimation with Annealed and Energy-Based Bounds

Rob Brekelmans, Sicong Huang, Marzyeh Ghassemi, Greg Ver Steeg, Roger Grosse, Alireza Makhzani

Comments A shorter version appeared in the International Conference on Learning Representations (ICLR) 2022

Journal ref ICLR 2022 https://openreview.net/forum?id=T0B9AoM_bFg

Learning Performance-Improving Code Edits

Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob Gardner, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh

Comments Published as a conference paper at ICLR 2024 (Spotlight). Project website: https://pie4perf.com/

Attacks on Third-Party APIs of Large Language Models

Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane

Comments ICLR 2024 Workshop on Secure and Trustworthy Large Language Models

DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks

Tongzhou Mu, Minghua Liu, Hao Su

Comments ICLR 2024. Explore videos, data, code, and more at https://sites.google.com/view/iclr24drs

Lemur: Integrating Large Language Models in Automated Program Verification

Haoze Wu, Clark Barrett, Nina Narodytska

Comments Accepted at ICLR'24

Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations

Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen McAleer

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

Fast Ensembling with Diffusion Schrödinger Bridge

Hyunsu Kim, Jongmin Yoon, Juho Lee

Journal ref ICLR 2024

Understanding Addition in Transformers

Philip Quirke, Fazl Barez

Comments 9 pages, 8 figures, accepted by ICLR 2024

Can LLM-Generated Misinformation Be Detected?

Canyu Chen, Kai Shu

Comments Accepted to Proceedings of ICLR 2024. 9 pages for main paper, 40 pages including appendix. The code, results, dataset for this paper and more resources on "LLMs Meet Misinformation" have been released on the project website: https://llm-misinformation.github.io/

MultiSTOP: Solving Functional Equations with Reinforcement Learning

Alessandro Trenta, Davide Bacciu, Andrea Cossu, Pietro Ferrero

Comments ICLR 2024 Workshop on AI4DifferentialEquations In Science

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Ruhle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah

Comments Accepted to ICLR 2024 (main conference)

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan

Comments Accepted by ICLR 2024. Camera Ready Version

How to Craft Backdoors with Unlabeled Data Alone?

Yifei Wang, Wenhan Ma, Stefanie Jegelka, Yisen Wang

Comments Accepted at ICLR 2024 Workshop on Navigating and Addressing Data Problems for Foundation Models (DPFM)

Non-negative Contrastive Learning

Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang

Comments 22 pages. Accepted by ICLR 2024

Improving Intrinsic Exploration by Creating Stationary Objectives

Roger Creus Castanyer, Joshua Romoff, Glen Berseth

Comments Accepted at ICLR 2024

Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence

Sunghwan Hong, Seokju Cho, Seungryong Kim, Stephen Lin

Comments Accepted by ICLR'24

Transformer Fusion with Optimal Transport

Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh

Comments Appears at International Conference on Learning Representations (ICLR), 2024. M. Imfeld, J. Graldi, and M. Giordano are the first authors and contributed equally to this work

Two-timescale Extragradient for Finding Local Minimax Points

Jiseok Chae, Kyuwon Kim, Donghwan Kim

Comments 40 pages, 5 figures. Published in ICLR 2024