ICLR 2025

3,703 papers

HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction

Weihuang Wen, Tianshu Yu

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters

Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

High-dimension Prototype is a Better Incremental Object Detection Learner

Yanjie Wang, Liqun Chen, Tianming Zhao, Tao Zhang, Guodong Wang

How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.

Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos Costis Daskalakis

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?

Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying

PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition

Jie Wang, Tingfa Xu, Lihe Ding, Xinjie Zhang, Long Bai

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation

Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski

PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions

Weifeng Lin, Xinyu Wei, Renrui Zhang, Le Zhuo, Shitian Zhao

Discriminating image representations with principal distortions

Jenelle Feather, David Lipshutz, Sarah E Harvey, Alex H Williams, Eero P Simoncelli

A Statistical Approach for Controlled Training Data Detection

Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao

Extending Mercer's expansion to indefinite and asymmetric kernels

Sungwoo Jeong, Alex Townsend

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP

Hao Yuan, Wenli Ouyang, Changwen Zhang, Yong Sun, Liming Gong

Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD

Ze Peng, Jian Zhang, Yisen Wang, Lei Qi, Yinghuan Shi

Tuning Frequency Bias of State Space Models

Annan Yu, Dongwei Lyu, Soon Hoe Lim, Michael W. Mahoney, N. Benjamin Erichson

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion

Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models

Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao

Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control

Xianghui Ze, Zhenbo Song, Qiwei Wang, Jianfeng Lu, Yujiao Shi

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface

Wenyue Hua, Mengting Wan, JAGANNATH SHASHANK SUBRAMANYA SAI VADREVU, Ryan Nadel, Yongfeng Zhang

SMITE: Segment Me In TimE

Amirhossein Alimohammadi, Sauradip Nag, Saeid Asgari, Andrea Tagliasacchi, Ghassan Hamarneh

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation

Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees G. M. Snoek

Longhorn: State Space Models are Amortized Online Learners

Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone

Morphing Tokens Draw Strong Masked Image Models

Taekyung Kim, Byeongho Heo, Dongyoon Han

Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs

Qi Wu, Yubo Zhao, Yifan Wang, Xinhang Liu, Yu-Wing Tai

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics

Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen

Latent Action Pretraining from Videos

Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang

GenXD: Generating Any 3D and 4D Scenes

Yuyang Zhao, Chung-Ching Lin, Kevin Lin, Zhiwen Yan, Linjie Li

Comparing noisy neural population dynamics using optimal transport distances

Amin Nejatbakhsh, Victor Geadah, Alex H Williams, David Lipshutz

On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning

Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning

Hojoon Lee, Dongyoon Hwang, Donghu Kim, HYUNSEUNG KIM, Jun Jet Tai

Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention

Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah

Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability

Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu

Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation

Abdelrahman Eldesokey, Peter Wonka

LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning

Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization

Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu

Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization

Vladimír Boža, Vladimír Macko

Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning

Shijie Liu, Andrew Craig Cullen, Paul Montague, Sarah Monazam Erfani, Benjamin I. P. Rubinstein

OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs

Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin

AI as Humanity’s Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text

Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu

Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought

Jianhao Huang, Zixuan Wang, Jason D. Lee

3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds

Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training

Renqiu Xia, Mingsheng Li, Hancheng Ye, Wenjie Wu, Hongbin Zhou

DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery

Yuanpei Liu, Kai Han

O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions

Gen Li, Yuling Yan

Selective Aggregation for Low-Rank Adaptation in Federated Learning

Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang

Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research

Michał Bortkiewicz, Władysław Pałucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang

Optimal Brain Apoptosis

Mingyuan Sun, Zheng Fang, Jiaxu Wang, Junjie Jiang, Delei Kong

Action Sequence Augmentation for Action Anticipation

Yihui Qiu, Deepu Rajan

Edge-aware Image Smoothing with Relative Wavelet Domain Representation

Huiqing QI, Xiaoliu Luo, Tingting Li, Fang Li

On the Optimal Memorization Capacity of Transformers

Tokio Kajitsuka, Issei Sato

Training Language Models to Self-Correct via Reinforcement Learning

Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D Co-Reyes

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

Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity

Yizhuo Lu, Changde Du, Chong Wang, Xuanliu Zhu, Liuyun Jiang

PharmacoMatch: Efficient 3D Pharmacophore Screening via Neural Subgraph Matching

Daniel Rose, Oliver Wieder, Thomas Seidel, Thierry Langer

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability

Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang

Geometry of Lightning Self-Attention: Identifiability and Dimension

Nathan W. Henry, Giovanni Luca Marchetti, Kathlén Kohn

OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents

Zhaolin Hu, Yixiao Zhou, Zhongan Wang, Xin Li, Weimin Yang

CtD: Composition through Decomposition in Emergent Communication

Boaz Carmeli, Ron Meir, Yonatan Belinkov

Robust Representation Consistency Model via Contrastive Denoising

Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao

GLOMA: Global Video Text Spotting with Morphological Association

Han Wang, Yanjie Wang, Yang Li, Can Huang

Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks

Mario Lino Valencia, Tobias Pfaff, Nils Thuerey

IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis

Shitong Shao, Zikai Zhou, Bai LiChen, Haoyi Xiong, Zeke Xie

Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning

Samuel Garcin, Trevor McInroe, Pablo Samuel Castro, Christopher G. Lucas, David Abel

Interpreting Language Reward Models via Contrastive Explanations

Junqi Jiang, Tom Bewley, Saumitra Mishra, Freddy Lecue, Manuela Veloso

Temporal Reasoning Transfer from Text to Video

Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An

Composing Unbalanced Flows for Flexible Docking and Relaxation

Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi Jaakkola

LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs

Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee

Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary

Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai

ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models

Jianrong Lu, Zhiyu Zhu, Junhui Hou

Second-Order Min-Max Optimization with Lazy Hessians

Lesi Chen, Chengchang Liu, Jingzhao Zhang

Influence Functions for Scalable Data Attribution in Diffusion Models

Bruno Kacper Mlodozeniec, Runa Eschenhagen, Juhan Bae, Alexander Immer, David Krueger

Epistemic Monte Carlo Tree Search

Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer

Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models

Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi

NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance

Raphael T. Husistein, Markus Reiher, Marco Eckhoff

Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors

Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning

Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim

Fast Summation of Radial Kernels via QMC Slicing

Johannes Hertrich, Tim Jahn, Michael Quellmalz

CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation

Yifeng Xu, Zhenliang He, Shiguang Shan, Xilin Chen

Pyramidal Flow Matching for Efficient Video Generative Modeling

Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang

Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment

Naoya Hasegawa, Issei Sato

Gradient correlation is a key ingredient to accelerate SGD with momentum

Julien Hermant, Marien Renaud, Jean-François Aujol, Charles Dossal, Aude Rondepierre

Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling

Guiyu Zhang, Huan-ang Gao, Zijian Jiang, Hao Zhao, Zhedong Zheng

Simulating Human-like Daily Activities with Desire-driven Autonomy

Yiding Wang, Yuxuan Chen, Fangwei Zhong, Long Ma, Yizhou Wang

MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards

Sheng wang, Liheng Chen, Pengan CHEN, Jingwei Dong, Boyang Xue

Shape as Line Segments: Accurate and Flexible Implicit Surface Representation

Siyu Ren, Junhui Hou

Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings

Hossein Mirzaei, Mackenzie W Mathis

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning

Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan Tran

HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts

Mengqi Liao, Wei Chen, Junfeng Shen, Shengnan Guo, Huaiyu Wan

Variational Best-of-N Alignment

Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility

Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?

Xueru Wen, Jie Lou, Yaojie Lu, Hongyu Lin, XingYu

SOREL: A Stochastic Algorithm for Spectral Risks Minimization

Yuze Ge, Rujun Jiang

Linear combinations of latents in generative models: subspaces and beyond

Erik Bodin, Alexandru I. Stere, Dragos D Margineantu, Carl Henrik Ek, Henry Moss

EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition

Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev

DynaPrompt: Dynamic Test-Time Prompt Tuning

Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang

QPM: Discrete Optimization for Globally Interpretable Image Classification

Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn

On the Byzantine-Resilience of Distillation-Based Federated Learning

Christophe Roux, Max Zimmer, Sebastian Pokutta

Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling

Jingyun Xue, Hongfa Wang, Qi Tian, Yue Ma, Andong Wang