ICLR 2025

3,703 papers

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts

Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui

Competitive Fair Scheduling with Predictions

Tianming Zhao, Chunqiu xia, Xiaomin Chang, Chunhao Li, Wei Li

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation

Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

Improved Convergence Rate for Diffusion Probabilistic Models

Gen Li, Yuchen Jiao

Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation

Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu

A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations

Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu

AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks

Van Nguyen, Tingmin Wu, Xingliang Yuan, Marthie Grobler, Surya Nepal

LLM Unlearning via Loss Adjustment with Only Forget Data

Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu

InstaRevive: One-Step Image Enhancement via Dynamic Score Matching

Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao, Yansong Tang

Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation

Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang

u-μP: The Unit-Scaled Maximal Update Parametrization

Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Yuri Prince

Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions

Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong

X-Fi: A Modality-Invariant Foundation Model for Multimodal Human Sensing

Xinyan Chen, Jianfei Yang

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems

Sung Woong Cho, Hwijae Son

Node-Time Conditional Prompt Learning in Dynamic Graphs

Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

Can LLMs Understand Time Series Anomalies?

Zihao Zhou, Rose Yu

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models

Zeping Min, Xinshang Wang

ADMM for Nonconvex Optimization under Minimal Continuity Assumption

Ganzhao Yuan

Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models

Amir Mohammad Karimi Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi

Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers

Runyi Zhao, Sheng Xu, Bo Yue, Guiliang Liu

SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels

Xiangyu Dong, Xingyi Zhang, Lei Chen, Mingxuan Yuan, Sibo Wang

Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation

Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong, Eui-Nam Huh

Continuous Diffusion for Mixed-Type Tabular Data

Markus Mueller, Kathrin Gruber, Dennis Fok

LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently

Xue Han, Yitong Wang, Junlan Feng, wenchun.gao, Qian Hu

MAST: model-agnostic sparsified training

Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtarik

Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits

Yuta Natsubori, Masataka Ushiku, Yuta Saito

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation

Can Rong, Jingtao Ding, Yan Liu, Yong Li

SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints

Miruna Cretu, Charles Harris, Ilia Igashov, Arne Schneuing, Marwin Segler

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning

Kwanyoung Park, Youngwoon Lee

Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos

Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra

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

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

NeRAF: 3D Scene Infused Neural Radiance and Acoustic Fields

Amandine Brunetto, Sascha Hornauer, Fabien Moutarde

Near, far: Patch-ordering enhances vision foundation models' scene understanding

Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M Asano

Adversarial Search Engine Optimization for Large Language Models

Fredrik Nestaas, Edoardo Debenedetti, Florian Tramer

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood

Qingmao Yao, Zhichao Lei, Tianyuan Chen, Ziyue Yuan, Xuefan Chen

Learning Partial Graph Matching via Optimal Partial Transport

Gathika Ratnayaka, James Nichols, Qing Wang

Bridging Compressed Image Latents and Multimodal Large Language Models

Chia-Hao Kao, Cheng Chien, Yu-Jen Tseng, Yi-Hsin Chen, Alessandro Gnutti

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search

Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng

GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks

Shuhan Song, Ping Li, Ming Dun, Maolei Huang, Huawei Cao

A Solvable Attention for Neural Scaling Laws

Bochen Lyu, Di Wang, Zhanxing Zhu

Improving Long-Text Alignment for Text-to-Image Diffusion Models

Luping Liu, Chao Du, Tianyu Pang, Zehan Wang, Chongxuan Li

IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Ziyang Li, Saikat Dutta, Mayur Naik

Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning

Linjiajie Fang, Ruoxue Liu, Jing Zhang, Wenjia Wang, Bingyi Jing

Locality-aware Gaussian Compression for Fast and High-quality Rendering

Seungjoo Shin, Jaesik Park, Sunghyun Cho

Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models

Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen

A Stochastic Approach to the Subset Selection Problem via Mirror Descent

Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat, Yaroslav Fyodorov, Ran Moshe

Conformalized Survival Analysis for General Right-Censored Data

Hen Davidov, Shai Feldman, Gil Shamai, Ron Kimmel, Yaniv Romano

HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation

Hanxiang Ren, Li Sun, Xulong Wang, Pei Zhou, Zewen Wu

Unified Parameter-Efficient Unlearning for LLMs

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang

Weighted-Reward Preference Optimization for Implicit Model Fusion

Ziyi Yang, Fanqi Wan, Longguang Zhong, Tianyuan Shi, Xiaojun Quan

A Closer Look at Machine Unlearning for Large Language Models

Xiaojian Yuan, Tianyu Pang, Chao Du, Kejiang Chen, Weiming Zhang

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang

Bundle Neural Network for message diffusion on graphs

Jacob Bamberger, Federico Barbero, Xiaowen Dong, Michael M. Bronstein

SplineGS: Learning Smooth Trajectories in Gaussian Splatting for Dynamic Scene Reconstruction

Jihwan Yoon, Sangbeom Han, Jaeseok Oh, Minsik Lee

Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control

SungUk Shin, Youngjoon Kim

Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer

Hao Luo, Zongqing Lu

Reveal Object in Lensless Photography via Region Gaze and Amplification

Yin Xiangjun, Huihui Yue

RuAG: Learned-rule-augmented Generation for Large Language Models

Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing

Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin

SynQ: Accurate Zero-shot Quantization by Synthesis-aware Fine-tuning

MinJun Kim, Jongjin Kim, U Kang

Online-to-Offline RL for Agent Alignment

Xu Liu, Haobo Fu, Stefano V Albrecht, Qiang Fu, Shuai Li

DisPose: Disentangling Pose Guidance for Controllable Human Image Animation

Hongxiang Li, Yaowei Li, Yuhang Yang, Junjie Cao, Zhihong Zhu

Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series

Byoungwoo Park, Hyungi Lee, Juho Lee

Towards Calibrated Deep Clustering Network

Yuheng Jia, Jianhong Cheng, Hui LIU, Junhui Hou

DyCAST: Learning Dynamic Causal Structure from Time Series

Yue Cheng, Bochen Lyu, Weiwei Xing, Zhanxing Zhu

Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression

Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang

Looking Backward: Streaming Video-to-Video Translation with Feature Banks

Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer

Improving Deep Regression with Tightness

Shihao Zhang, Yuguang Yan, Angela Yao

Equivariant Neural Functional Networks for Transformers

Hoang V. Tran, Thieu Vo, An Nguyen The, Tho Tran Huu, Minh-Khoi Nguyen-Nhat

Lasso Bandit with Compatibility Condition on Optimal Arm

Harin Lee, Taehyun Hwang, Min-hwan Oh

Data Scaling Laws in Imitation Learning for Robotic Manipulation

Fanqi Lin, Yingdong Hu, Pingyue Sheng, Chuan Wen, Jiacheng You

Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective

Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang

Efficient Learning with Sine-Activated Low-Rank Matrices

Yiping Ji, Hemanth Saratchandran, Cameron Gordon, Zeyu Zhang, Simon Lucey

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures

Yiming Chen, yuan zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen

Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation

Jiahao Cui, Hui Li, Yao Yao, Hao Zhu, Hanlin Shang

Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning

Xiaorui Peng, Yuheng Jia, Fuchao Yang, Ran Wang, Min-ling Zhang

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models

Chengyu Du, Jinyi Han, Yizhou Ying, Aili Chen, Qianyu He

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning

Yeongmin Kim, Kwanghyeon Lee, Minsang Park, Byeonghu Na, Il-chul Moon

Learning Randomized Algorithms with Transformers

Johannes von Oswald, Seijin Kobayashi, Yassir Akram, Angelika Steger

Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics

Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov

VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation

Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh, Han-Yuan Hsu, Yi-Ting Chen

Ultra-Sparse Memory Network

Zihao Huang, Qiyang Min, Hongzhi Huang, Yutao Zeng, Defa Zhu

On Generalization Across Environments In Multi-Objective Reinforcement Learning

Jayden Teoh, Pradeep Varakantham, Peter Vamplew

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model

Xuehao Wang, Zhan Zhuang, Feiyang YE, Yu Zhang

On Rollouts in Model-Based Reinforcement Learning

Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe

Guaranteed Generation from Large Language Models

Minbeom Kim, Thibaut Thonet, Jos Rozen, Hwaran Lee, Kyomin Jung

Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling

Yuma Ichikawa, Yamato Arai

HeadMap: Locating and Enhancing Knowledge Circuits in LLMs

Xuehao Wang, Liyuan Wang, Binghuai Lin, Yu Zhang

Forget the Data and Fine-Tuning! Just Fold the Network to Compress

Dong Wang, Haris Šikić, Lothar Thiele, Olga Saukh

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization

Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang

Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning

Bo Yue, Shufan Wang, Ashish Gaurav, Jian Li, Pascal Poupart

ThinkBot: Embodied Instruction Following with Thought Chain Reasoning

Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang

AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning

Yehonathan Refael, Jonathan Svirsky, Boris Shustin, Wasim Huleihel, Ofir Lindenbaum

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Weihao Zeng, Yuzhen Huang, Lulu Zhao, Yijun Wang, Zifei Shan

GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs

Dongzhuoran Zhou, Evgeny Kharlamov, Egor V. Kostylev

From Tokens to Words: On the Inner Lexicon of LLMs

Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz

OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces

Zehan Wang, Ziang Zhang, Minjie Hong, Hang Zhang, Luping Liu

Sharpness-Aware Black-Box Optimization

Feiyang YE, Yueming LYU, Xuehao Wang, Masashi Sugiyama, Yu Zhang

Making Transformer Decoders Better Differentiable Indexers

Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao

Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm

Mathieu Chevalley, Patrick Schwab, Arash Mehrjou