ICLR

Leave-one-out Distinguishability in Machine Learning

Jiayuan Ye, Anastasia Borovykh, Soufiane Hayou, Reza Shokri

Comments ICLR 2024

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models

Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi

Comments Published at ICLR 2024

Can Large Language Models Infer Causation from Correlation?

Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, Bernhard Schölkopf

Comments ICLR 2024

Provable Reward-Agnostic Preference-Based Reinforcement Learning

Wenhao Zhan, Masatoshi Uehara, Wen Sun, Jason D. Lee

Comments ICLR 2024 Spotlight

Time Fairness in Online Knapsack Problems

Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili

Comments Accepted to ICLR 2024. 26 pages, 5 figures

A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery

Ellianna Abrahams, Tasha Snow, Matthew R. Siegfried, Fernando Pérez

Comments Accepted to the Machine Learning for Remote Sensing (ML4RS) Workshop at ICLR 2024

Neural Language of Thought Models

Yi-Fu Wu, Minseung Lee, Sungjin Ahn

Comments Accepted in ICLR 2024

Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming

Clemencia Siro, Tunde Oluwaseyi Ajayi

Comments Accepted at The AfricaNLP Workshop 2023 colocated with ICLR 2023

Exploring selective image matching methods for zero-shot and few-sample unsupervised domain adaptation of urban canopy prediction

John Francis, Stephen Law

Comments ICLR 2024 Machine Learning for Remote Sensing (ML4RS) Workshop

InfoCon: Concept Discovery with Generative and Discriminative Informativeness

Ruizhe Liu, Qian Luo, Yanchao Yang

Comments 27 pages, 15 figures. Published as a conference paper at ICLR 2024

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs

Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

Comments Accepted to ICLR 2024. The first two authors contributed equally

Future Language Modeling from Temporal Document History

Changmao Li, Jeffrey Flanigan

Comments Accepted by ICLR 2024

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs

Yogesh Verma, Markus Heinonen, Vikas Garg

Comments Accepted as ICLR 2024 Oral. Project website: https://yogeshverma1998.github.io/ClimODE/

Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization

Yuhang Zang, Hanlin Goh, Josh Susskind, Chen Huang

Comments ICLR 2024

Evaluating Large Language Models at Evaluating Instruction Following

Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen

Comments ICLR 2024

GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models

Haitao Yang, Xiangru Huang, Bo Sun, Chandrajit Bajaj, Qixing Huang

Comments ICLR 2024

Bridging Vision and Language Spaces with Assignment Prediction

Jungin Park, Jiyoung Lee, Kwanghoon Sohn

Comments ICLR 2024 Camera-ready

Off-Policy Primal-Dual Safe Reinforcement Learning

Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

Comments ICLR 2024 Poster

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks

Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia

Comments Camera-ready version

Journal ref Published as a conference paper at ICLR 2024

Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization

Ian Gemp, Luke Marris, Georgios Piliouras

Comments Published at ICLR 2024

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, Wenping Wang

Comments ICLR 2024 Spotlight. Project page: https://liuyuan-pal.github.io/SyncDreamer/ Code: https://github.com/liuyuan-pal/SyncDreamer

Large Language Models as Optimizers

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen

Comments ICLR 2024; 42 pages, 26 figures, 15 tables. Code at https://github.com/google-deepmind/opro

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers

Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan

Comments Accepted to ICLR'24

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Comments ICLR 2024 Spotlight; 37 pages, 32 figures, 3 tables

Hindsight PRIORs for Reward Learning from Human Preferences

Mudit Verma, Katherine Metcalf

Comments International Conference on Learning Representations, 2024

Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models

Katie Christensen, Lyric Otto, Seth Bassetti, Claudia Tebaldi, Brian Hutchinson

Comments Presentation at Tackling Climate Change with Machine Learning, ICLR 2024

Training a Vision Language Model as Smartphone Assistant

Nicolai Dorka, Janusz Marecki, Ammar Anwar

Comments ICLR 2024 workshop on Generative Models for Decision Making

Forward Learning of Graph Neural Networks

Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan Rossi, Puja Trivedi, Nesreen Ahmed

Comments ICLR 2024

Multisize Dataset Condensation

Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor Tsang

Comments Accepted by ICLR 2024 Oral

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners

Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis

Comments Accepted by ICLR 2024