ICLR

Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity

Mutian He, Philip N. Garner

Comments 18 pages, 5 figures; ICLR 2025 camera ready. Code: https://github.com/idiap/linearize-distill-pretrained-transformers

DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback

Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal

Comments ICLR 2025 Spotlight; Project Page: https://DataEnvGym.github.io

Low-Rank Continual Personalization of Diffusion Models

Łukasz Staniszewski, Katarzyna Zaleska, Kamil Deja

Comments SCOPE @ ICLR 2025

PAD: Personalized Alignment of LLMs at Decoding-Time

Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu

Comments ICLR 2025

Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management

Lai Wei, Zhen Ying, Muyang He, Yutong Chen, Qian Yang, Yanzhe Hong, Jiaping Lu, Kaipeng Zheng, Shaoting Zhang, Xiaoying Li, Weiran Huang, Ying Chen

Comments Accepted by ICLR 2025 SCI-FM workshop

Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking

Cassidy Laidlaw, Shivam Singhal, Anca Dragan

Comments Spotlight at ICLR 2025

AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption

Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son, Sung-eui Yoon

Comments Accepted to ICLR 2025

Real-Time Risky Fault-Chain Search using Time-Varying Graph RNNs

Anmol Dwivedi, Ali Tajer

Comments arXiv admin note: substantial text overlap with arXiv:2303.08864

Journal ref ICLR 2025 Workshop paper at Tackling Climate Change with Machine Learning

Solving Bayesian inverse problems with diffusion priors and off-policy RL

Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault-Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin

Comments Accepted as workshop paper at DeLTa workshop, ICLR 2025. arXiv admin note: substantial text overlap with arXiv:2405.20971

LongProLIP: A Probabilistic Vision-Language Model with Long Context Text

Sanghyuk Chun, Sangdoo Yun

Comments Accepted as a tiny paper at the 1st workshop of "Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI" at ICLR 2025; code: https://github.com/naver-ai/prolip; models: https://huggingface.co/collections/SanghyukChun/prolip-6712595dfc87fd8597350291

On Generalization Across Environments In Multi-Objective Reinforcement Learning

Jayden Teoh, Pradeep Varakantham, Peter Vamplew

Comments Published at The Thirteenth International Conference on Learning Representations (ICLR 2025)

Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control

Thomas Jiralerspong, Berton Earnshaw, Jason Hartford, Yoshua Bengio, Luca Scimeca

Comments Published as workshop paper at DeLTa and FPI workshops, ICLR 2025

A Geometric Framework for Understanding Memorization in Generative Models

Brendan Leigh Ross, Hamidreza Kamkari, Tongzi Wu, Rasa Hosseinzadeh, Zhaoyan Liu, George Stein, Jesse C. Cresswell, Gabriel Loaiza-Ganem

Comments Accepted to ICLR 2025 (Spotlight)

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)

Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata

Comments Accepted at ICLR 2025

Structure Language Models for Protein Conformation Generation

Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang

Comments Published as a conference paper at ICLR 2025, see https://openreview.net/forum?id=OzUNDnpQyd

The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures

Xiaoyi Mai, Zhenyu Liao

Comments 34 pages, 10 figures, accepted by ICLR 2025 (https://openreview.net/forum?id=UrKbn51HjA)

HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning

Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin Lai, Dongjun Kim, Naoki Murata, Takashi Shibuya, Wei-Hsiang Liao, Shao-Hua Sun, Yuki Mitsufuji

Comments Published in International Conference on Learning Representations (ICLR) 2025

EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage

Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun

Comments Accepted by ICLR 2025

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

Comments 35 pages, 26 figures, ICLR 2025

D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models

Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang

Comments ICLR 2025

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions

Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, Stefan Harmeling

Comments ICLR 2025 Spotlight

Physics-Informed Diffusion Models

Jan-Hendrik Bastek, WaiChing Sun, Dennis M. Kochmann

Comments 26 pages, 9 figures, 3 tables; ICLR 2025 camera ready contribution

Maximum Entropy Heterogeneous-Agent Reinforcement Learning

Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang

Comments ICLR 2024 Spotlight

The Capacity of Modern Hopfield Networks under the Data Manifold Hypothesis

Beatrice Achilli, Luca Ambrogioni, Carlo Lucibello, Marc Mézard, Enrico Ventura

Comments ICLR 2025 Workshop Paper, 9 pages, 2 figures

How Well Does Your Tabular Generator Learn the Structure of Tabular Data?

Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik

Comments Accepted by ICLR 2025 workshops (DeLTa and SynthData)

On the Internal Representations of Graph Metanetworks

Taesun Yeom, Jaeho Lee

Comments ICLR 2025 Workshop on Weight Space Learning

RandLoRA: Full-rank parameter-efficient fine-tuning of large models

Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad

Comments To appear at the International Conference on Learning Representations (ICLR) 2025

Audio Large Language Models Can Be Descriptive Speech Quality Evaluators

Chen Chen, Yuchen Hu, Siyin Wang, Helin Wang, Zhehuai Chen, Chao Zhang, Chao-Han Huck Yang, Eng Siong Chng

Comments ICLR 2025

Locality-aware Gaussian Compression for Fast and High-quality Rendering

Seungjoo Shin, Jaesik Park, Sunghyun Cho

Comments Accepted to ICLR 2025. Project page: https://seungjooshin.github.io/LocoGS

Grounding Video Models to Actions through Goal Conditioned Exploration

Yunhao Luo, Yilun Du

Comments ICLR 2025 (Spotlight). Project page: https://video-to-action.github.io/