ICLR 2025

3,703 papers

Instance-dependent Early Stopping

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

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini

Storybooth: Training-Free Multi-Subject Consistency for Improved Visual Storytelling

Jaskirat Singh, Junshen K Chen, Jonas K Kohler, Michael F Cohen

FLOPS: Forward Learning with OPtimal Sampling

Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang

Understanding and Enhancing the Transferability of Jailbreaking Attacks

Runqi Lin, Bo Han, Fengwang Li, Tongliang Liu

ARB-LLM: Alternating Refined Binarizations for Large Language Models

Zhiteng Li, Xianglong Yan, Tianao Zhang, Haotong Qin, Dong Xie

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Jing He, Haodong Li, Wei Yin, Yixun Liang, Leheng Li

OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes

Sepehr Dehdashtian, Gautam Sreekumar, Vishnu Boddeti

Scaling Large Language Model-based Multi-Agent Collaboration

Chen Qian, Zihao Xie, Yifei Wang, Wei Liu, Kunlun Zhu

A Computational Framework for Modeling Emergence of Color Vision in the Human Brain

Atsunobu Kotani, Ren Ng

AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction

Jingnan Gao, Zhuo Chen, Xiaokang Yang, Yichao Yan

Inner Information Analysis Algorithm for Deep Neural Network based on Community

Guipeng Lan, Shuai Xiao, Meng Xi, Jiabao Wen, Jiachen Yang

Animate-X: Universal Character Image Animation with Enhanced Motion Representation

Shuai Tan, Biao Gong, Xiang Wang, Shiwei Zhang, DanDan Zheng

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery

Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou

3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation

Xiao Fu, Xian Liu, Xintao Wang, Sida Peng, Menghan Xia

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs

Peijie Dong, Lujun Li, Yuedong Zhong, DaYou Du, Ruibo FAN

Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance

Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li

Gated Delta Networks: Improving Mamba2 with Delta Rule

Songlin Yang, Jan Kautz, Ali Hatamizadeh

SAM 2: Segment Anything in Images and Videos

Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali

Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation

Qing Wu, Chenhe Du, Xuanyu Tian, Jingyi Yu, Yuyao Zhang

Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation

Peiwen Sun, Sitong Cheng, Xiangtai Li, Zhen Ye, Huadai Liu

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts

Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang

Find A Winning Sign: Sign Is All We Need to Win the Lottery

Junghun Oh, Sungyong Baik, Kyoung Mu Lee

Probabilistic Language-Image Pre-Training

Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data

Jiajie Li, Brian R Quaranto, Chenhui Xu, Ishan Mishra, Ruiyang Qin

Distilling Structural Representations into Protein Sequence Models

Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Kraehenbuehl, Adam Klivans

Weak-to-Strong Generalization Through the Data-Centric Lens

Changho Shin, John Cooper, Frederic Sala

PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection

Qiuchen Wang, Zehui Chen, Chenhongyi Yang, Jiaming Liu, Zhenyu Li

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

Zehui Chen, Kuikun Liu, Qiuchen Wang, Jiangning Liu, Wenwei Zhang

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks

Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang

An Evolved Universal Transformer Memory

Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin Tang

Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving

Peidong Li, Dixiao Cui

ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination

Xinxin Zhao, Wenzhe Cai, Likun Tang, Teng Wang

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models

Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang

ControlAR: Controllable Image Generation with Autoregressive Models

Zongming Li, Tianheng Cheng, Shoufa Chen, Peize Sun, Haocheng Shen

PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks

Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park

ImDy: Human Inverse Dynamics from Imitated Observations

Xinpeng Liu, Junxuan Liang, Zili Lin, Haowen Hou, Yong-Lu Li

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI

Guangyin Bao, Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization

Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang

Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction

Junyi Chen, Di Huang, Weicai Ye, Wanli Ouyang, Tong He

Neuron Platonic Intrinsic Representation From Dynamics Using Contrastive Learning

Wei Wu, Can Liao, Zizhen Deng, Zhengrui Guo, Jinzhuo Wang

Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities

Zheyuan Zhang, Fengyuan Hu, Jayjun Lee, Freda Shi, Parisa Kordjamshidi

Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention

Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu

Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models

Zeyu Yang, Zijie Pan, Chun Gu, Li Zhang

FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields

Shihao Shao, Haoran Geng, Zun Wang, Qinghua Cui

ContraDiff: Planning Towards High Return States via Contrastive Learning

Yixiang Shan, Zhengbang Zhu, Ting Long, Liang Qifan, Yi Chang

TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics

Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei

OLMoE: Open Mixture-of-Experts Language Models

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale

Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai

Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations

Xiu-Chuan Li, Tongliang Liu

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency

Liang Qifan, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long

Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates

Xiu-Chuan Li, Jun Wang, Tongliang Liu

Learning View-invariant World Models for Visual Robotic Manipulation

Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai

MotionClone: Training-Free Motion Cloning for Controllable Video Generation

Pengyang Ling, Jiazi Bu, Pan Zhang, Xiaoyi Dong, Yuhang Zang

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

Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer

Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

Guy Ohayon, Tomer Michaeli, Michael Elad

Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks

Emanuel Sommer, Jakob Robnik, Giorgi Nozadze, Uros Seljak, David Rügamer

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

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

Image-level Memorization Detection via Inversion-based Inference Perturbation

Yue Jiang, Haokun Lin, Yang Bai, Bo Peng, Zhili Liu

COMBO: Compositional World Models for Embodied Multi-Agent Cooperation

Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation

Zhengrui Guo, Fangxu Zhou, Wei Wu, Qichen Sun, Lishuang Feng

Open-World Reinforcement Learning over Long Short-Term Imagination

Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin, Yang Li

Reconstructive Visual Instruction Tuning

Haochen Wang, Anlin Zheng, Yucheng Zhao, Tiancai Wang, Zheng Ge

Correlation and Navigation in the Vocabulary Key Representation Space of Language Models

Letian Peng, Chenyang An, Jingbo Shang

FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

Zhengyao Lv, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao

Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation

Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Rui Wang

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models

Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis

SONICS: Synthetic Or Not - Identifying Counterfeit Songs

Md Awsafur Rahman, Zaber Ibn Abdul Hakim, Najibul Haque Sarker, Bishmoy Paul, Shaikh Anowarul Fattah

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models

Junyan Ye, Baichuan Zhou, Zilong Huang, Junan Zhang, Tianyi Bai

MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation

Trung X. Pham, Tri Ton, Chang D. Yoo

Learning Harmonized Representations for Speculative Sampling

Lefan Zhang, Xiaodan Wang, Yanhua Huang, Ruiwen Xu

Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection

Yucheng Suo, Fan Ma, Kaixin Shen, Linchao Zhu, Yi Yang

Beyond Next Token Prediction: Patch-Level Training for Large Language Models

Chenze Shao, Fandong Meng, Jie Zhou

Collapsed Language Models Promote Fairness

Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei

Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding

Xin Gu, Yaojie Shen, Chenxi Luo, Tiejian Luo, Yan Huang

Enhancing End-to-End Autonomous Driving with Latent World Model

Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen

FreeVS: Generative View Synthesis on Free Driving Trajectory

Qitai Wang, Lue Fan, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang

Revisiting In-context Learning Inference Circuit in Large Language Models

Hakaze Cho, Mariko Kato, Yoshihiro Sakai, Naoya Inoue

Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances

Shilin Lu, Zihan Zhou, Jiayou Lu, Yuanzhi Zhu, Adams Wai-Kin Kong

Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes

Isabella Liu, Hao Su, Xiaolong Wang

Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration

Kang Liao, Zongsheng Yue, Zhouxia Wang, Chen Change Loy

Debiasing Mini-Batch Quadratics for Applications in Deep Learning

Lukas Tatzel, Bálint Mucsányi, Osane Hackel, Philipp Hennig

CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes

Yang Liu, Chuanchen Luo, Zhongkai Mao, Junran Peng, Zhaoxiang Zhang

Let the Code LLM Edit Itself When You Edit the Code

Zhenyu He, Jun Zhang, Shengjie Luo, Jingjing Xu, Zhi Zhang

VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing

Xiangpeng Yang, Linchao Zhu, Hehe Fan, Yi Yang

GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data

Zhiteng Li, Lele Chen, Jerone Andrews, Yunhao Ba, Yulun Zhang

SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography

Xuanyu Zhang, Jiarui Meng, Zhipei Xu, Shuzhou Yang, Yanmin Wu

FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Zhipei Xu, Xuanyu Zhang, Runyi Li, Zecheng Tang, Qing Huang

MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks

Carlo Abate, Filippo Maria Bianchi

Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation

Insoo Kim, Hana Lee, Hyong-Euk Lee, Jinwoo Shin

Test-time Adaptation for Image Compression with Distribution Regularization

Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan

Bayesian Analysis of Combinatorial Gaussian Process Bandits

Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani

DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding

Henry Zheng, Hao Shi, Qihang Peng, Yong Xien Chng, Rui Huang

Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers

Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu

LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion Models

Hantao Zhang, Yuhe Liu, Jiancheng YANG, Shouhong Wan, Xinyuan Wang

LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression

Laurent Condat, Arto Maranjyan, Peter Richtarik

TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies

Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daume III

GaussianAnything: Interactive Point Cloud Flow Matching for 3D Generation

Yushi Lan, Shangchen Zhou, Zhaoyang Lyu, Fangzhou Hong, Shuai Yang

Semantix: An Energy-guided Sampler for Semantic Style Transfer

Huiang He, Minghui Hu, Chuanxia Zheng, Chaoyue Wang, Tat-Jen Cham

Information Theoretic Text-to-Image Alignment

Chao Wang, Giulio Franzese, Alessandro Finamore, Massimo Gallo, Pietro Michiardi