ICLR

DiffusionSat: A Generative Foundation Model for Satellite Imagery

Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David Lobell, Stefano Ermon

Comments Published at ICLR 2024

Assessing Prompt Injection Risks in 200+ Custom GPTs

Jiahao Yu, Yuhang Wu, Dong Shu, Mingyu Jin, Sabrina Yang, Xinyu Xing

Comments Accepted in ICLR 2024 Workshop on Secure and Trustworthy Large Language Models

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu

Comments ICLR 2024 camera ready, 37 pages, 12 figures

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions

Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang

Comments Accepted by ICLR 2024 (Spotlight)

Geometry-Complete Diffusion for 3D Molecule Generation and Optimization

Alex Morehead, Jianlin Cheng

Comments 33 pages, 6 figures, 5 tables. Under review. Also presented at ICLR 2023's MLDD workshop. Code available at https://github.com/BioinfoMachineLearning/Bio-Diffusion

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search

Michał Zawalski, Michał Tyrolski, Konrad Czechowski, Tomasz Odrzygóźdź, Damian Stachura, Piotr Piękos, Yuhuai Wu, Łukasz Kuciński, Piotr Miłoś

Comments ICLR 2023 (notable-top-5%) website: https://sites.google.com/view/adaptivesubgoalsearch/

Submodular Reinforcement Learning

Manish Prajapat, Mojmír Mutný, Melanie N. Zeilinger, Andreas Krause

Comments Spotlight paper at ICLR 2024

Critical Learning Periods Emerge Even in Deep Linear Networks

Michael Kleinman, Alessandro Achille, Stefano Soatto

Comments ICLR 2024 (Spotlight)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

Comments Accepted by ICLR 2024

Privileged Sensing Scaffolds Reinforcement Learning

Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman

Comments ICLR 2024 Spotlight version

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data

Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang

Journal ref ICLR 2024 spotlight

Tailoring Self-Rationalizers with Multi-Reward Distillation

Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren

Journal ref The Twelfth International Conference on Learning Representations, 2024

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video

Shashanka Venkataramanan, Mamshad Nayeem Rizve, João Carreira, Yuki M. Asano, Yannis Avrithis

Comments Accepted to ICLR 2024 (Best paper honorable mention). Project Page: https://shashankvkt.github.io/dora

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement

Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren

Comments ICLR 2024

Improved sampling via learned diffusions

Lorenz Richter, Julius Berner

Comments Accepted at ICLR 2024

Journal ref International Conference on Learning Representations, 2024

An Assessment of Model-On-Model Deception

Julius Heitkoetter, Michael Gerovitch, Laker Newhouse

Comments Accepted at Secure and Trustworthy Large Language Models Workshop at ICLR 2024

Measuring Vision-Language STEM Skills of Neural Models

Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang

Comments Accepted in ICLR 2024

ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference

Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong

Comments ICLR 2024 (v3: 21 pages, 11 figures, Project Page: https://github.com/stevolopolis/asmr.git)

Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control

Jaeik Jeong, Tai-Yeon Ku, Wan-Ki Park

Comments ICLR 2024 Workshop: Tackling Climate Change with Machine Learning

Distinguished In Uniform: Self Attention Vs. Virtual Nodes

Eran Rosenbluth, Jan Tönshoff, Martin Ritzert, Berke Kisin, Martin Grohe

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

Unveiling and Manipulating Prompt Influence in Large Language Models

Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao

Comments ICLR 2024

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages

Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

Comments ICLR 2024 poster

NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages

Anuoluwapo Aremu, Jesujoba O. Alabi, Daud Abolade, Nkechinyere F. Aguobi, Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani

Comments Accepted to AfricaNLP Workshop at ICLR 2024 (non-archival)

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Jivat Neet Kaur, Emre Kiciman, Amit Sharma

Comments Published at ICLR 2023

Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?

Kaiqi Zhang, Yu-Xiang Wang

Comments Published as a conference paper at ICLR 2023; 35 pages, 7 figures

DINO as a von Mises-Fisher mixture model

Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten

Comments Accepted to ICLR 2023

Region-level labels in ice charts can produce pixel-level segmentation for Sea Ice types

Muhammed Patel, Xinwei Chen, Linlin Xu, Yuhao Chen, K Andrea Scott, David A. Clausi

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

FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs

Sepehr Dehdashtian, Lan Wang, Vishnu Naresh Boddeti

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

Bypassing the Safety Training of Open-Source LLMs with Priming Attacks

Jason Vega, Isha Chaudhary, Changming Xu, Gagandeep Singh

Comments ICLR Tiny Paper camera ready version

Building a Luganda Text-to-Speech Model From Crowdsourced Data

Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende, John Quinn

Comments Presented at the AfricaNLP workshop at ICLR 2024