ICLR 2025

3,703 papers

Do Deep Neural Network Solutions Form a Star Domain?

Ankit Sonthalia, Alexander Rubinstein, Ehsan Abbasnejad, Seong Joon Oh

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

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

IgGM: A Generative Model for Functional Antibody and Nanobody Design

Rubo Wang, Fandi Wu, Xingyu Gao, Jiaxiang Wu, Peilin Zhao

FaceShot: Bring Any Character into Life

Junyao Gao, Yanan Sun, Fei Shen, Xin Jiang, Zhening Xing

DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo

Junzhe Zhu, Yuanchen Ju, Junyi Zhang, Muhan Wang, Zhecheng Yuan

Beyond Sequence: Impact of Geometric Context for RNA Property Prediction

Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao

SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction

Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez

Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation

Huan Ren, Wenfei Yang, Xiang Liu, Shifeng Zhang, Tianzhu Zhang

Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning

Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister

A Decade's Battle on Dataset Bias: Are We There Yet?

Zhuang Liu, Kaiming He

DiffPC: Diffusion-based High Perceptual Fidelity Image Compression with Semantic Refinement

Yichong Xia, Yimin Zhou, Jinpeng Wang, Baoyi An, Haoqian Wang

A Coefficient Makes SVRG Effective

Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu

Dynamic Low-Rank Sparse Adaptation for Large Language Models

Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Liuyang, Jing Lin

Progressive Parameter Efficient Transfer Learning for Semantic Segmentation

Nan Zhou, Huiqun Wang, Yaoyan Zheng, Di Huang

Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers

Tiberiu Mușat

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs

Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi

Matérn Kernels for Tunable Implicit Surface Reconstruction

Maximilian Weiherer, Bernhard Egger

Quantized Spike-driven Transformer

Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao

ParetoFlow: Guided Flows in Multi-Objective Optimization

Ye Yuan, Can Chen, Christopher Pal, Xue Liu

Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis

Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji

Probabilistic Learning to Defer: Handling Missing Expert Annotations and Controlling Workload Distribution

Cuong C. Nguyen, Thanh-Toan Do, Gustavo Carneiro

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation

Zhixiang Chi, Li Gu, Huan Liu, Ziqiang Wang, Yanan Wu

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction

Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Cheng-Hao Liu, Sarthak Mittal

T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data

Hugo Thimonier, José Lucas De Melo Costa, Fabrice Popineau, Arpad Rimmel, Bich-Lien Doan

Gyrogroup Batch Normalization

Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

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

Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li

Progressive Token Length Scaling in Transformer Encoders for Efficient Universal Segmentation

Abhishek Aich, Yumin Suh, Samuel Schulter, Manmohan Chandraker

Can LLMs Solve Longer Math Word Problems Better?

Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models

Xin Xu, Jiaxin Zhang, Tianhao Chen, Zitong Chao, Jishan Hu

Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering

Xingrui Wang, Wufei Ma, Angtian Wang, Shuo Chen, Adam Kortylewski

Towards Improving Exploration through Sibling Augmented GFlowNets

Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio

Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It

Guoxuan Xia, Olivier Laurent, Gianni Franchi, Christos-Savvas Bouganis

CycleResearcher: Improving Automated Research via Automated Review

Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang

Personality Alignment of Large Language Models

Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang

DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation

Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, XINYANG JIANG, Yifan Yang

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation

Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation

Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian

Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis

Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen

SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks

Yijie Guo, Bingjie Tang, Iretiayo Akinola, Dieter Fox, Abhishek Gupta

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers

Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang

Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model

Chunming He, Chengyu Fang, Yulun Zhang, Longxiang Tang, Jinfa Huang

Identification of Intermittent Temporal Latent Process

Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang

3D-SPATIAL MULTIMODAL MEMORY

Xueyan Zou, Yuchen Song, Ri-Zhao Qiu, Xuanbin Peng, Jianglong Ye

Computational Explorations of Total Variation Distance

Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding

Zhengzhuo Xu, Bowen Qu, Yiyan Qi, SiNan Du, Chengjin Xu

VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models

Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez

Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging

Behrooz Tahmasebi, Stefanie Jegelka

$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration

Senmao Li, Kai Wang, Joost van de Weijer, Fahad Shahbaz Khan, Chun-Le Guo

LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Biao Zhang, Peter Wonka

Regretful Decisions under Label Noise

Sujay Nagaraj, Yang Liu, Flavio Calmon, Berk Ustun

Learning under Temporal Label Noise

Sujay Nagaraj, Walter Gerych, Sana Tonekaboni, Anna Goldenberg, Berk Ustun

DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes

Hengwei Bian, Lingdong Kong, Haozhe Xie, Liang Pan, Yu Qiao

Training Language Models on Synthetic Edit Sequences Improves Code Synthesis

Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes

Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang

Automated Design of Agentic Systems

Shengran Hu, Cong Lu, Jeff Clune

Breaking Neural Network Scaling Laws with Modularity

Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang, Abhiram Iyer

Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment

Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan O Arik

HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation

Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel

CoInD: Enabling Logical Compositions in Diffusion Models

Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

I Can Hear You: Selective Robust Training for Deepfake Audio Detection

Zirui Zhang, Wei Hao, Aroon Sankoh, William Lin, Emanuel Mendiola-Ortiz

LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning

Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal

HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts

Hongjun Wang, Sagar Vaze, Kai Han

TASAR: Transfer-based Attack on Skeletal Action Recognition

Yunfeng Diao, Baiqi Wu, Ruixuan Zhang, Ajian Liu, Xiaoshuai Hao

Minimal Impact ControlNet: Advancing Multi-ControlNet Integration

Shikun Sun, Min Zhou, Zixuan Wang, Xubin Li, Tiezheng Ge

Unlearning-based Neural Interpretations

Ching Lam Choi, Alexandre Duplessis, Serge Belongie

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment

Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng

Towards Realistic UAV Vision-Language Navigation: Platform, Benchmark, and Methodology

Xiangyu Wang, Donglin Yang, Ziqin Wang, Hohin Kwan, Jinyu Chen

Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information

Yuke Zhu, Yue Zhang, Dongdong Liu, Chi Xie, Zihua Xiong

From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data

Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos

Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations

Yupei Yang, Biwei Huang, Fan Feng, Xinyue Wang, Shikui Tu

SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination

Shuo Ma, Yingwei Zhang, Yiqiang Chen, Hualei Wang, Yuan Jin

Anti-Exposure Bias in Diffusion Models

Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu

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

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

COME: Test-time Adaption by Conservatively Minimizing Entropy

Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang

AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Wenhao Chai, Enxin Song, Yilun Du, Chenlin Meng, Vashisht Madhavan

Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment

Haoyuan Wu, Haisheng Zheng, YUAN PU, Bei Yu

LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer

γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models

Yaxin Luo, Gen Luo, Jiayi Ji, Yiyi Zhou, Xiaoshuai Sun

Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models

Hulingxiao He, Geng Li, Zijun Geng, Jinglin Xu, Yuxin Peng

ReMatching Dynamic Reconstruction Flow

Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon

Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion

Kaizhe Hu, Zihang Rui, Yao He, Yuyao Liu, Pu Hua

Ranking-aware adapter for text-driven image ordering with CLIP

Wei-Hsiang Yu, Yen-yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time

Yi Ding, Bolian Li, Ruqi Zhang

TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting

Feng Shibo, Wanjin Feng, Xingyu Gao, Peilin Zhao, Zhiqi Shen

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark

Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu

Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

Hyper-Connections

Defa Zhu, Hongzhi Huang, Zihao Huang, Yutao Zeng, Yunyao Mao

Denoising with a Joint-Embedding Predictive Architecture

Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu

Generating Physical Dynamics under Priors

Zihan Zhou, Xiaoxue Wang, Tianshu Yu

LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning

Zhe Li, Weihao Yuan, Yisheng He, Lingteng Qiu, Shenhao Zhu

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video

Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang

Fast Feedforward 3D Gaussian Splatting Compression

Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi

PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task

Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin

Does Training with Synthetic Data Truly Protect Privacy?

Yunpeng Zhao, Jie Zhang

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation

Cheng Yang, Chufan Shi, Yaxin Liu, Bo Shui, Junjie Wang

PostCast: Generalizable Postprocessing for Precipitation Nowcasting via Unsupervised Blurriness Modeling

Junchao Gong, Siwei Tu, Weidong Yang, Ben Fei, Kun Chen

Process Reward Model with Q-value Rankings

Wendi Li, Yixuan Li

Self-Updatable Large Language Models by Integrating Context into Model Parameters

Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu