ICLR

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation

Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim

Comments ICLR 2025

ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning

Zihan Ye, Shreyank N. Gowda, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang, Xiaobo Jin

Comments Accepted to ICLR 2025

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Chaochen Gao, Xing Wu, Qi Fu, Songlin Hu

Comments ICLR 2025

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining

Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang

Comments Accepted for publication at ICLR 2025. Code base available: https://github.com/sowmaster/Sample-Level-Loss-Reweighting-ICLR-2025

NextBestPath: Efficient 3D Mapping of Unseen Environments

Shiyao Li, Antoine Guédon, Clémentin Boittiaux, Shizhe Chen, Vincent Lepetit

Comments To appear at ICLR 2025. Project webpage: https://shiyao-li.github.io/nbp/

Confidence Elicitation: A New Attack Vector for Large Language Models

Brian Formento, Chuan Sheng Foo, See-Kiong Ng

Comments Published in ICLR 2025. The code is publicly available at https://github.com/Aniloid2/Confidence_Elicitation_Attacks

Kronecker Mask and Interpretive Prompts are Language-Action Video Learners

Jingyi Yang, Zitong Yu, Xiuming Ni, Jia He, Hui Li

Comments Accepted to ICLR 2025

Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?

Yuheng Li, Panpan Wang, Haipeng Chen

Comments 29 pages, 2 figures, 10 tables

Journal ref Published in ICLR 2025

Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Javier Ferrando, Oscar Obeso, Senthooran Rajamanoharan, Neel Nanda

Comments Accepted at ICLR 2025

Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation

Jihyo Kim, Seulbi Lee, Sangheum Hwang

Comments Accepted at ICLR 2025. The first two authors contributed equally

Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

Comments accepted in ICLR 2025

Rethinking Fair Representation Learning for Performance-Sensitive Tasks

Charles Jones, Fabio de Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker

Comments Accepted for publication in ICLR 2025: https://openreview.net/forum?id=pBZntPrdrI

Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models

Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji

Comments Accepted to ICLR 2025

Visual Agents as Fast and Slow Thinkers

Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

Comments International Conference on Learning Representations (ICLR 2025)

Learning to Steer Markovian Agents under Model Uncertainty

Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich H. Nax, Niao He

Comments 35 Pages; ICLR 2025

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo

Comments Accepted to ICLR 2025

Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang

Comments ICLR 2025; fixed typos in Table 1; Code and model checkpoints available at https://github.com/mingyuanzhou/SiD-LSG; More efficient code using AMP is coming soon

Unsupervised Meta-Learning via In-Context Learning

Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, Marlena Nowaczyk

Comments Published as a conference paper at ICLR 2025

KAN: Kolmogorov-Arnold Networks

Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljačić, Thomas Y. Hou, Max Tegmark

Comments Accepted by International Conference on Learning Representations (ICLR) 2025 (conference version: https://openreview.net/forum?id=Ozo7qJ5vZi). Codes are available at https://github.com/KindXiaoming/pykan

Trainable Weight Averaging: Accelerating Training and Improving Generalization

Tao Li, Zhehao Huang, Yingwen Wu, Zhengbao He, Qinghua Tao, Xiaolin Huang, Chih-Jen Lin

Comments Journal version in progress. Previously accepted to ICLR 2023

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry

Ziheng Chen, Yue Song, Xiao-Jun Wu, Gaowen Liu, Nicu Sebe

Comments Accepted to ICLR 2025

3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery

Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

Comments Accepted by ICLR 2025

Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency

Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao

Comments Accepted to ICLR 2025

Cached Multi-Lora Composition for Multi-Concept Image Generation

Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao

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

GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring

Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz

Comments Accepted at ICLR 2025

Sparse Autoencoders Do Not Find Canonical Units of Analysis

Patrick Leask, Bart Bussmann, Michael Pearce, Joseph Bloom, Curt Tigges, Noura Al Moubayed, Lee Sharkey, Neel Nanda

Comments Accepted to ICLR 2025

SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting

Huajian Huang, Yingshu Chen, Longwei Li, Hui Cheng, Tristan Braud, Yajie Zhao, Sai-Kit Yeung

Comments Accepted to ICLR 2025, Project Page: http://www.chenyingshu.com/sc-omnigs/

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders

Tianyu Xie, Harry Richman, Jiansi Gao, Frederick A. Matsen, Cheng Zhang

Comments ICLR 2025. 22 pages, 14 figures

ADIFF: Explaining audio difference using natural language

Soham Deshmukh, Shuo Han, Rita Singh, Bhiksha Raj

Comments Accepted at ICLR 2025. Dataset and checkpoints are available at: https://github.com/soham97/ADIFF

Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries

Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer

Comments accepted at ICLR 2025