ICLR

TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs

Siheng Xiong, Yuan Yang, Faramarz Fekri, James Clayton Kerce

Comments ICLR 2023

Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study

Aryan Agrawal, Lisa Alazraki, Shahin Honarvar, Marek Rei

Comments Building Trust Workshop, ICLR 2025

Efficient Model Editing with Task-Localized Sparse Fine-tuning

Leonardo Iurada, Marco Ciccone, Tatiana Tommasi

Comments Accepted ICLR 2025 - https://github.com/iurada/talos-task-arithmetic

Large (Vision) Language Models are Unsupervised In-Context Learners

Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic

Comments ICLR 2025 camera-ready

Refining CLIP's Spatial Awareness: A Visual-Centric Perspective

Congpei Qiu, Yanhao Wu, Wei Ke, Xiuxiu Bai, Tong Zhang

Comments ICLR 2025

Dynamic Assortment Selection and Pricing with Censored Preference Feedback

Jung-hun Kim, Min-hwan Oh

Comments Accepted at ICLR 2025

A Truncated Newton Method for Optimal Transport

Mete Kemertas, Amir-massoud Farahmand, Allan D. Jepson

Comments Accepted to ICLR 2025

Aligned Better, Listen Better for Audio-Visual Large Language Models

Yuxin Guo, Shuailei Ma, Shijie Ma, Xiaoyi Bao, Chen-Wei Xie, Kecheng Zheng, Tingyu Weng, Siyang Sun, Yun Zheng, Wei Zou

Comments Accepted to ICLR 2025

Mixture of Attentions For Speculative Decoding

Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou Ammar, Jun Wang

Comments Accepted at International Conference on Learning Representations (ICLR 2025)

Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds

Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras

Comments 22 pages, 3 figures. Published at ICLR 2024

Learning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs

Abed Kareem Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo

Comments 17 pages, 9 figures, accepted to ICLR 2025 Workshop on Human-AI Coevolution

Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles

Luca Scimeca, Alexander Rubinstein, Damien Teney, Seong Joon Oh, Yoshua Bengio

Comments Accepted as a workshop paper at ICLR 2025. arXiv admin note: substantial text overlap with arXiv:2310.02230

Interpreting Emergent Planning in Model-Free Reinforcement Learning

Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger

Comments ICLR 2025 oral

Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions

Jinyoung Choi, Junoh Kang, Bohyung Han

Comments ICLR 2025

Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings

Christopher Straub, Philipp Brendel, Vlad Medvedev, Andreas Rosskopf

Comments 13 pages, 3 figures, 3 tables

Journal ref ICLR 2025 Workshop on Machine Learning Multiscale Processes

Why risk matters for protein binder design

Tudor-Stefan Cotet, Igor Krawczuk

Comments 10 pages, 5 figures, 1 table, to be presented at ICLR 2025 GEM Workshop https://www.gembio.ai/

Efficient Imitation under Misspecification

Nicolas Espinosa-Dice, Sanjiban Choudhury, Wen Sun, Gokul Swamy

Comments 38 pages, 6 figures. Published as a conference paper at ICLR 2025

Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection

Chuhan Zhang, Chaoyang Zhu, Pingcheng Dong, Long Chen, Dong Zhang

Comments 10 pages, 5 figures, Published as a conference paper at ICLR 2025

Journal ref Proceedings of the 13th International Conference on Learning Representations (ICLR 2025), Paper ID: 4226

Linear Representations of Political Perspective Emerge in Large Language Models

Junsol Kim, James Evans, Aaron Schein

Comments Published as a conference paper at ICLR 2025 https://openreview.net/forum?id=rwqShzb9li

Learning Graph Quantized Tokenizers

Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

Comments ICLR 2025

A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations

Naveen Gupta, Medha Sawhney, Arka Daw, Youzuo Lin, Anuj Karpatne

Comments Accepted at ICLR 2025

Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models

Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee

Comments ICLR 2025; Project Page available at : https://sprain02.github.io/FiFA/

Calibrating Expressions of Certainty

Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells, Tina Kapur, Polina Golland

Comments International Conference on Learning Representations (ICLR), 2025

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts

Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho

Comments Accepted to ICLR 2025. 42 pages, 8 tables, 3 figures

SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation

Teng Hu, Jiangning Zhang, Ran Yi, Hongrui Huang, Yabiao Wang, Lizhuang Ma

Comments Accepted by ICLR 2025

RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs

Xi Xie, Yuebo Luo, Hongwu Peng, Caiwen Ding

Comments ICLR 2025 Conference

NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Meng You, Zhiyu Zhu, Hui Liu, Junhui Hou

Comments ICLR 2025

Towards Calibrated Deep Clustering Network

Yuheng Jia, Jianhong Cheng, Hui Liu, Junhui Hou

Comments The paper is accepted by ICLR 2025

Learning Chaos In A Linear Way

Xiaoyuan Cheng, Yi He, Yiming Yang, Xiao Xue, Sibo Cheng, Daniel Giles, Xiaohang Tang, Yukun Hu

Comments Published as a conference paper at ICLR 2025

Automated Feature Labeling with Token-Space Gradient Descent

Julian Schulz, Seamus Fallows

Comments 10 pages, 4 figures, Building Trust Workshop ICLR 2025