ICLR 2025

3,703 papers

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing

Peter Lippmann, Gerrit Gerhartz, Roman Remme, Fred A. Hamprecht

Your Weak LLM is Secretly a Strong Teacher for Alignment

Leitian Tao, Yixuan Li

Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators

Ariel Elnekave, Yair Weiss

Deep Linear Probe Generators for Weight Space Learning

Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen

Unsupervised Model Tree Heritage Recovery

Eliahu Horwitz, Asaf Shul, Yedid Hoshen

Adaptive Retention & Correction: Test-Time Training for Continual Learning

Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang

Understanding the Stability-based Generalization of Personalized Federated Learning

Yingqi Liu, Qinglun Li, Jie Tan, Yifan Shi, Li Shen

Retrieval Head Mechanistically Explains Long-Context Factuality

Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu

Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning

Somnath Basu Roy Chowdhury, Krzysztof Marcin Choromanski, Arijit Sehanobish, Kumar Avinava Dubey, Snigdha Chaturvedi

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis

Yumeng Li, William H. Beluch, Margret Keuper, Dan Zhang, Anna Khoreva

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting

Milad Khademi Nori, IL MIN KIM, Guanghui Wang

On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models

Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu

Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion

Chaodong Xiao, Minghan Li, Zhengqiang Zhang, Deyu Meng, Lei Zhang

Adding Conditional Control to Diffusion Models with Reinforcement Learning

Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sunyuan Kung, Tommaso Biancalani

Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?

Yutong Yin, Zhaoran Wang

Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation

Lun Wang

SpinQuant: LLM Quantization with Learned Rotations

Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary

C-CLIP: Multimodal Continual Learning for Vision-Language Model

Wenzhuo LIU, Fei Zhu, Longhui Wei, Qi Tian

Strategic Classification With Externalities

Safwan Hossain, Evi Micha, Yiling Chen, Ariel D. Procaccia

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation

Kaan Akan, Yucel Yemez

CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation

Matan Rusanovsky, Or Hirschorn, Shai Avidan

Group Distributionally Robust Dataset Distillation with Risk Minimization

Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang

Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness

Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu

Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer

Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang

Dynamic Assortment Selection and Pricing with Censored Preference Feedback

Jung-hun Kim, Min-hwan Oh

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Samuel Marks, Can Rager, Eric J Michaud, Yonatan Belinkov, David Bau

From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks

Clémentine Carla Juliette Dominé, Nicolas Anguita, Alexandra Maria Proca, Lukas Braun, Daniel Kunin

Hidden in the Noise: Two-Stage Robust Watermarking for Images

Kasra Arabi, Benjamin Feuer, R. Teal Witter, Chinmay Hegde, Niv Cohen

Rethinking Visual Counterfactual Explanations Through Region Constraint

Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek

CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning

Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang

Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning

Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen

A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language

Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert P. Dick, Hidenori Tanaka

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models

Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre

The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs

Hong Li, Nanxi Li, Yuanjie Chen, Jianbin Zhu, Qinlu Guo

Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift

Zhen Zhang, Xin Liu, Shaoli Wang, Jiaye Teng

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving

Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang

Local Patterns Generalize Better for Novel Anomalies

Yalong Jiang

A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety

Hyunin Lee, Chanwoo Park, David Abel, Ming Jin

Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling

Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor

MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge

Yuntao Du., Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng

HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models

Seanie Lee, Haebin Seong, Dong Bok Lee, Minki Kang, Xiaoyin Chen

Strong Preferences Affect the Robustness of Preference Models and Value Alignment

Ziwei Xu, Mohan Kankanhalli

Federated Residual Low-Rank Adaptation of Large Language Models

Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning

Hai Zhang, Boyuan Zheng, Tianying Ji, JinHang Liu, Anqi Guo

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems

Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin XU

Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning

Baoqi Pei, Yifei Huang, Jilan Xu, Guo Chen, Yuping He

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data

Phillip Si, Peng Chen

UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation

Tao Zhang, Jinyong Wen, Zhen Chen, Kun Ding, SHIMING XIANG

LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li

The Optimization Landscape of SGD Across the Feature Learning Strength

Alexander Atanasov, Alexandru Meterez, James B Simon, Cengiz Pehlevan

MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences

Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang

Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control

Hejia Chen, Haoxian Zhang, Shoulong Zhang, Xiaoqiang Liu, Sisi Zhuang

N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning

Liping Wang, Xujia Li, Jingshu Peng, Yue Wang, Chen Zhang

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals

Weibang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li

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

Hyogon Ryu, NaHyeon Park, Hyunjung Shim

ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation

Ze Yang, Shichao Dong, Ruibo Li, Nan Song, Guosheng Lin

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation

Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim

Benchmarking Agentic Workflow Generation

Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior

Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement

Yuqi Lin, Hengjia Li, Wenqi Shao, Zheng Yang, Jun Zhao

TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident

Yixuan Zhou, Long Bai, Sijia Cai, Bing Deng, Xing Xu

ADMM for Structured Fractional Minimization

Ganzhao Yuan

Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks

Zixuan Xiong, Guangwei Xu, Wenkai Zhang, Yuan Miao, Xuan Wu

Layout-your-3D: Controllable and Precise 3D Generation with 2D Blueprint

Junwei Zhou, Xueting Li, Lu Qi, Ming-Hsuan Yang

Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching

Zetian Jiang, Jiaxin Lu, Haizhao Fan, Tianzhe Wang, Junchi Yan

SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-training

Nie Lin, Takehiko Ohkawa, Yifei Huang, Mingfang Zhang, Minjie Cai

A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation

Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations

Takashi Furuya, Koichi Taniguchi, Satoshi Okuda

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models

Keisuke Kamahori, Tian Tang, Yile Gu, Kan Zhu, Baris Kasikci

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models

Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen

Autoregressive Video Generation without Vector Quantization

Haoge Deng, Ting Pan, Haiwen Diao, zhengxiong luo, Yufeng Cui

Transformers are Universal In-context Learners

Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré

RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection

Jingtong Yue, Zhiwei Lin, Xin lin, Xiaoyu Zhou, Xiangtai Li

TRACE: Temporal Grounding Video LLM via Causal Event Modeling

Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen

Fine-tuning with Reserved Majority for Noise Reduction

Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

Xiaosong Jia, Junqi You, Zhiyuan Zhang, Junchi Yan

CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs

Jinpeng Li, Haiping Wang, Jiabin Chen, Yuan Liu, Zhiyang Dou

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

Danny Wang, Ruihong Qiu, Guangdong Bai, Zi Huang

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu

PEARL: Parallel Speculative Decoding with Adaptive Draft Length

Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu

NeuralPlane: Structured 3D Reconstruction in Planar Primitives with Neural Fields

Hanqiao Ye, Yuzhou Liu, Yangdong Liu, Shuhan Shen

Selective Induction Heads: How Transformers Select Causal Structures in Context

Francesco D'Angelo, Francesco Croce, Nicolas Flammarion

Robust Conformal Prediction with a Single Binary Certificate

Soroush H. Zargarbashi, Aleksandar Bojchevski

Test-time Alignment of Diffusion Models without Reward Over-optimization

Sunwoo Kim, Minkyu Kim, Dongmin Park

Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator

Xin Zhang, JIAWEI DU, Ping Liu, Joey Tianyi Zhou

On the Fourier analysis in the SO(3) space : the EquiLoPO Network

Dmitrii Zhemchuzhnikov, Sergei Grudinin

Vision-LSTM: xLSTM as Generic Vision Backbone

Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter

ESE: Espresso Sentence Embeddings

Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li

Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm

Du Chen, Geoffrey A. Chua

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations

Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types

Jiankang Chen, Tianke Zhang, Changyi Liu, Haojie Ding, Yaya Shi

LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang

Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning

Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, haoqi fan

UniRestore3D: A Scalable Framework For General Shape Restoration

Yuang Wang, Yujian Zhang, Sida Peng, Xingyi He, Haoyu Guo

Learning Mask Invariant Mutual Information for Masked Image Modeling

Tao Huang, Yanxiang Ma, Shan You, Chang Xu

Uncertainty modeling for fine-tuned implicit functions

Anna Susmelj, Mael Macuglia, Natasa Tagasovska, Reto Sutter, Sebastiano Caprara

Block-Attention for Efficient Prefilling

Dongyang Ma, Yan Wang, Tian Lan

Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning

Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-Chuan Toh, Pan Zhou

YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary

Hao-Tang Tsui, Chien-Yao Wang, Hong-Yuan Mark Liao