ICLR 2025

3,703 papers

X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention

Xiaochen Zhao, Hongyi Xu, Guoxian Song, You Xie, Chenxu Zhang

Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs

Xin Gao, Jian Pu

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining

Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong

DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation

Chenguo Lin, Panwang Pan, Bangbang Yang, Zeming Li, Yadong Mu

Boosting the visual interpretability of CLIP via adversarial fine-tuning

Shizhan Gong, Haoyu LEI, Qi Dou, Farzan Farnia

Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training

Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan

Learning Spatial-Semantic Features for Robust Video Object Segmentation

Xin Li, Deshui Miao, Zhenyu He, Yaowei Wang, Huchuan Lu

Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting

Yicheng Deng, Hideaki Hayashi, Hajime Nagahara

IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model

Yatai Ji, Shilong Zhang, Jie Wu, Peize Sun, Weifeng Chen

EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models

Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization

Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization

Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren

Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting

Yu Liu, Baoxiong Jia, Ruijie Lu, Junfeng Ni, Song-chun Zhu

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark

Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao

Self-Boosting Large Language Models with Synthetic Preference Data

Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei

Not-So-Optimal Transport Flows for 3D Point Cloud Generation

Ka-Hei Hui, Chao Liu, xiaohui zeng, Chi-Wing Fu, Arash Vahdat

A General Framework for Off-Policy Learning with Partially-Observed Reward

Rikiya Takehi, Masahiro Asami, Kosuke Kawakami, Yuta Saito

Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models

Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang

SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP

Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang

Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation

Minghan Chen, Guikun Chen, Wenguan Wang, Yi Yang

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel

Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li

Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping

Tianhao Walter Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling

Yuzhe Yao, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang

Progressive Mixed-Precision Decoding for Efficient LLM Inference

Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study

Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan

A Simple Framework for Open-Vocabulary Zero-Shot Segmentation

Thomas Stegmüller, Tim Lebailly, Nikola Đukić, Behzad Bozorgtabar, Tinne Tuytelaars

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback

Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi

DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control

Kaifeng Zhao, Gen Li, Siyu Tang

Fine-tuning can Help Detect Pretraining Data from Large Language Models

Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei

Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification

Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker

Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval

Yue Wu, Zhaobo Qi, Yiling Wu, Junshu Sun, Yaowei Wang

ProtoSnap: Prototype Alignment For Cuneiform Signs

Rachel Mikulinsky, Morris Alper, Shai Gordin, Enrique Jiménez, Yoram Cohen

Stable Segment Anything Model

Qi Fan, Xin Tao, Lei Ke, Mingqiao Ye, Di Zhang

Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

Tianchi Xie, Jiangning Zhu, Guozu Ma, Minzhi Lin, Wei Chen

Laplace Sample Information: Data Informativeness Through a Bayesian Lens

Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement

Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion

Does Refusal Training in LLMs Generalize to the Past Tense?

Maksym Andriushchenko, Nicolas Flammarion

Ensembles of Low-Rank Expert Adapters

Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games

Davide Paglieri, Bartłomiej Cupiał, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk

SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars

Jaeseong Lee, Taewoong Kang, Marcel Buehler, Min-Jung Kim, Sungwon Hwang

TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction

Yunfei Liu, LEI ZHU, Lijian Lin, Ye Zhu, Ailing Zhang

M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model

Kehan Wen, Yutong Hu, Yao Mu, Lei Ke

Watermark Anything With Localized Messages

Tom Sander, Pierre Fernandez, Alain Oliviero Durmus, Teddy Furon, Matthijs Douze

InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly

James Enouen, Yan Liu

ImageFolder: Autoregressive Image Generation with Folded Tokens

Xiang Li, Kai Qiu, Hao Chen, Jason Kuen, Jiuxiang Gu

MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility

Wayne Wu, Honglin He, Jack He, Yiran Wang, Chenda Duan

UniDrive: Towards Universal Driving Perception Across Camera Configurations

Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer

Gradient-Free Generation for Hard-Constrained Systems

Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart

GenEx: Generating an Explorable World

TaiMing Lu, Tianmin Shu, Alan Yuille, Daniel Khashabi, Jieneng Chen

POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition

Yuta Saito, Jihan Yao, Thorsten Joachims

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization

Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang

Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models

Cong Lu, Shengran Hu, Jeff Clune

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers

Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang

DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors

Keon Lee, Dong Won Kim, Jaehyeon Kim, Seungjun Chung, Jaewoong Cho

FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning

Woosung Koh, Wonbeen Oh, Siyeol Kim, Suhin Shin, Hyeongjin Kim

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models

Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean Foster

StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spaces

Kyeongmin Yeo, Jaihoon Kim, Minhyuk Sung

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee

GameGen-X: Interactive Open-world Game Video Generation

Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, Hao Chen

A Training-Free Sub-quadratic Cost Transformer Model Serving Framework with Hierarchically Pruned Attention

Heejun Lee, Geon Park, Youngwan Lee, Jaduk Suh, Jina Kim

Generalized Video Moment Retrieval

You Qin, Qilong Wu, Yicong Li, Wei Ji, Li Li

Scaling Autonomous Agents via Automatic Reward Modeling And Planning

Zhenfang Chen, Delin Chen, Rui Sun, Wenjun Liu, Chuang Gan

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form

Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe

The Crucial Role of Samplers in Online Direct Preference Optimization

Ruizhe Shi, Runlong Zhou, Simon Shaolei Du

BP-Modified Local Loss for Efficient Training of Deep Neural Networks

REN Lianhai, Qianxiao Li

Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models

Donghoon Kim, Minji Bae, Kyuhong Shim, Byonghyo Shim

Group Downsampling with Equivariant Anti-aliasing

Md Ashiqur Rahman, Raymond A. Yeh

Active Learning for Continual Learning: Keeping the Past Alive in the Present

Jaehyun Park, Dongmin Park, Jae-Gil Lee

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks

Yunhan Zhao, Xiang Zheng, Lin Luo, Yige Li, Xingjun Ma

Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos

Yufan Zhou, Zhaobo Qi, Lingshuai Lin, Junqi Jing, Tingting Chai

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding

Yeongjae Cho, Keonwoo Kim, Taebaek Hwang, Sungzoon Cho

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji

Episodic Novelty Through Temporal Distance

Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong

MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion

Onkar Kishor Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal

Safety Layers in Aligned Large Language Models: The Key to LLM Security

Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors

Peiran Xu, Yadong Mu

Minimax Optimal Reinforcement Learning with Quasi-Optimism

Harin Lee, Min-hwan Oh

Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture

Sajad Movahedi, Antonio Orvieto, Seyed-Mohsen Moosavi-Dezfooli

Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity

Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury, Alen Aliev, Peter Richtarik

Mixture Compressor for Mixture-of-Experts LLMs Gains More

Wei Huang, Yue Liao, Jianhui Liu, Ruifei He, Haoru Tan

Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets

Yudong Chen, Xuwei Xu, Frank de Hoog, Jiajun Liu, Sen Wang

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents

Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping

Yue Yang, Shuibo Zhang, Kaipeng Zhang, Yi Bin, Yu Wang

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models

Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang

I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength

Wanquan Feng, Jiawei Liu, Pengqi Tu, Tianhao Qi, Mingzhen Sun

LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation

Fangxun Shu, Yue Liao, Lei Zhang, Le Zhuo, Chenning Xu

Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence

Frederik Pahde, Maximilian Dreyer, Moritz Weckbecker, Leander Weber, Christopher J. Anders

Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising

Zhengwei Yin, Hongjun Wang, Guixu Lin, Weihang Ran, Yinqiang Zheng

Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization

XiaoHua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li

Long-Context Linear System Identification

Oğuz Kaan Yüksel, Mathieu Even, Nicolas Flammarion

Improving Language Model Distillation through Hidden State Matching

Sayantan Dasgupta, Trevor Cohn

Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises

Zirun Guo, Tao Jin

What to align in multimodal contrastive learning?

Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia, Jean-Philippe Thiran

State Space Model Meets Transformer: A New Paradigm for 3D Object Detection

Chuxin Wang, Wenfei Yang, Xiang Liu, Tianzhu Zhang

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang

Linear SCM Identification in the Presence of Confounders and Gaussian Noise

Vahideh Sanjaroonpouri, Pouria Ramazi

Kronecker Mask and Interpretive Prompts are Language-Action Video Learners

Yang JingYi, Zitong Yu, Nixiuming, He Jia, Hui Li

Revisiting Convolution Architecture in the Realm of DNA Foundation Models

Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye