ICLR

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models

Hyogon Ryu, NaHyeon Park, Hyunjung Shim

Comments Accepted ICLR 2025. Project page: https://ugonfor.kr/DGQ

Gramian Multimodal Representation Learning and Alignment

Giordano Cicchetti, Eleonora Grassucci, Luigi Sigillo, Danilo Comminiello

Comments Accepted at ICLR 2025

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks

Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma, Yu-Gang Jiang

Journal ref ICLR 2025, BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks. In Proceedings of the International Conference on Learning Representations (ICLR), 2025

Lightweight Neural App Control

Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao

Comments ICLR 2025 (spotlight)

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation

Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

Comments Accepted by ICLR 2025

U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models

Tung-Yu Wu, Pei-Yu Lo

Comments accepted to ICLR 2025

TASAR: Transfer-based Attack on Skeletal Action Recognition

Yunfeng Diao, Baiqi Wu, Ruixuan Zhang, Ajian Liu, Xiaoshuai Hao, Xingxing Wei, Meng Wang, He Wang

Comments Accepted in ICLR 2025

Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation

Xiaojuan Wang, Boyang Zhou, Brian Curless, Ira Kemelmacher-Shlizerman, Aleksander Holynski, Steven M. Seitz

Comments Published at ICLR 2025; Project page: https://svd-keyframe-interpolation.github.io/

Mask in the Mirror: Implicit Sparsification

Tom Jacobs, Rebekka Burkholz

Comments 20 pages, 5 figures

Journal ref The Thirteenth International Conference on Learning Representations (2025)

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

Jingyang Zhang, Jingwei Sun, Eric Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Frank Yang, Hai Li

Comments ICLR'25 Spotlight. Project page and code is available at https://zjysteven.github.io/mink-plus-plus/

Bayesian Analysis of Combinatorial Gaussian Process Bandits

Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani

Comments 34 pages, 9 figures. Accepted at ICLR 2025

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment

Youhe Jiang, Ran Yan, Binhang Yuan

Comments ICLR 2025

More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing

Sagi Shaier, Francisco Pereira, Katharina von der Wense, Lawrence E Hunter, Matt Jones

Comments Published as a conference paper at ICLR 2025

What Matters in Hierarchical Search for Combinatorial Reasoning Problems?

Michał Zawalski, Gracjan Góral, Michał Tyrolski, Emilia Wiśnios, Franciszek Budrowski, Marek Cygan, Łukasz Kuciński, Piotr Miłoś

Comments Accepted for Generative Models for Decision Making Workshop at ICLR 2024

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups

Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao

Comments Accepted to ICLR 2025

Faster Algorithms for Structured Linear and Kernel Support Vector Machines

Yuzhou Gu, Zhao Song, Lichen Zhang

Comments ICLR 2025

Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors

Lin-Zhuo Chen, Kangjie Liu, Youtian Lin, Siyu Zhu, Zhihao Li, Xun Cao, Yao Yao

Comments Accepted by ICLR 2025

Early Stopping Against Label Noise Without Validation Data

Suqin Yuan, Lei Feng, Tongliang Liu

Comments Accepted by ICLR 2024

Instance-dependent Early Stopping

Suqin Yuan, Runqi Lin, Lei Feng, Bo Han, Tongliang Liu

Comments Accepted by ICLR 2025 (Spotlight)

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

Xiang Li, Pengfei Li, Yupeng Zheng, Wei Sun, Yan Wang, Yilun Chen

Comments Accepted by ICLR 2025

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning

Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu

Comments Accepted to ICLR 2025

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks

Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma

Comments Accepted by ICLR 2025

Calibrating LLMs with Information-Theoretic Evidential Deep Learning

Yawei Li, David Rügamer, Bernd Bischl, Mina Rezaei

Comments 27 pages; 3 figures; accepted to ICLR 2025

Do as We Do, Not as You Think: the Conformity of Large Language Models

Zhiyuan Weng, Guikun Chen, Wenguan Wang

Comments ICLR 2025 (Oral). Code: https://github.com/Zhiyuan-Weng/BenchForm

OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?

Zijian Chen, Tingzhu Chen, Wenjun Zhang, Guangtao Zhai

Comments Accepted by ICLR 2025 as a Poster. 31 pages, 18 figures

Unlearning-based Neural Interpretations

Ching Lam Choi, Alexandre Duplessis, Serge Belongie

Comments Accepted to ICLR 2025

Journal ref Choi, Ching Lam, Alexandre Duplessis, and Serge Belongie. 'Unlearning-Based Neural Interpretations'. In The Thirteenth International Conference on Learning Representations, 2025

Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations

Nick Jiang, Anish Kachinthaya, Suzie Petryk, Yossi Gandelsman

Comments Accepted to ICLR '25. Project page: http://anishk23733.github.io/vl-interp/. V2 added more experiments in appendix

Training Language Models on Synthetic Edit Sequences Improves Code Synthesis

Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

Comments ICLR 2025

Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology

Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye

Comments Accepted to ICLR 2025

UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate

Julián Tachella, Mike Davies, Laurent Jacques

Journal ref ICLR 2025