2025 Papers
21,856 papers found • Page 414 of 438
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines
Chen Tang, Xinzhu Ma, Encheng Su et al.
UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
Dian Meng, Zhiguang Cao, Jie Gao et al.
UniTok: a Unified Tokenizer for Visual Generation and Understanding
Chuofan Ma, Yi Jiang, Junfeng Wu et al.
UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces
Yuanshao Zhu, James Yu, Xiangyu Zhao et al.
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
guojun lei, Rong Zhang, Tianhang Liu et al.
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
Jie Zhao, Chao Chen, Yuanshao Zhu et al.
Unity in Diversity: Video Editing via Gradient-Latent Purification
Junyu Gao, Kunlin Yang, Xuan Yao et al.
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.
Universal Actions for Enhanced Embodied Foundation Models
Jinliang Zheng, Jianxiong Li, Dongxiu Liu et al.
Universal Approximation of Mean-Field Models via Transformers
Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia
Universal Approximation Theorem of Deep Q-Networks
Qian Qi
Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing
Zijie Qiu, Jiaqi Wei, Xiang Zhang et al.
UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation
Songhua Liu, Ruonan Yu, Xinchao Wang
Universal Causal Inference in a Topos
Sridhar Mahadevan
Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching
Benjamin Minixhofer, Ivan Vulić, Edoardo Maria Ponti
Universal Domain Adaptation for Semantic Segmentation
Seun-An Choe, Keon Hee Park, Jinwoo Choi et al.
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment
Yuanfan Zheng, Jinlin Wu, Wuyang Li et al.
Universal Features Guided Zero-Shot Category-Level Object Pose Estimation
Wentian Qu, Chenyu Meng, Heng Li et al.
Universal Few-shot Spatial Control for Diffusion Models
Kiet Nguyen, Chanhyuk Lee, Donggyun Kim et al.
Universal generalization guarantees for Wasserstein distributionally robust models
Tam Le, Jerome Malick
Universal Image Restoration Pre-training via Degradation Classification
Jiakui Hu, Lujia Jin, Zhengjian Yao et al.
Universality of Real Minimal Complexity Reservoir
Robert Simon Fong, Boyu Li, Peter Tino
Universal Length Generalization with Turing Programs
Kaiying Hou, David Brandfonbrener, Sham Kakade et al.
Universally Invariant Learning in Equivariant GNNs
Jiacheng Cen, Anyi Li, Ning Lin et al.
Universal Neural Optimal Transport
Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson et al.
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
Atsumoto Ohashi, Ryuichiro Higashinaka
Universal Scene Graph Generation
Shengqiong Wu, Hao Fei, Tat-seng Chua
Universal Sequence Preconditioning
Annie Marsden, Elad Hazan
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
Dayal Singh Kalra, Tianyu He, Maissam Barkeshli
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan, Julian Forsyth, Thomas Fel et al.
Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
Zeqian Li, Shangzhe Di, Zhonghua Zhai et al.
Universal Visuo-Tactile Video Understanding for Embodied Interaction
Yifan Xie, Mingyang Li, Shoujie Li et al.
UniVerse: Unleashing the Scene Prior of Video Diffusion Models for Robust Radiance Field Reconstruction
Jin Cao, Hongrui Wu, Ziyong Feng et al.
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
Tsu-Jui Fu, Yusu Qian, Chen Chen et al.
UniViT: Unifying Image and Video Understanding in One Vision Encoder
feilong tang, xiangan, Haolin Yang et al.
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation
Alexander Liu, Sang-gil Lee, Chao-Han Huck Yang et al.
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
Chenao Li, Shuo Yan, Enyan Dai
Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition
Rui Ma, Qilong Wang, Bing Cao et al.
Unlabeled Data Can Provably Enhance In-Context Learning of Transformers
Renpu Liu, Jing Yang
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
Yunqi Hong, Sohyun An, Andrew Bai et al.
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
Yangsibo Huang, Daogao Liu, Lynn Chua et al.
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
Xiaoyu Wu, Yifei Pang, Terrance Liu et al.
Unlearning-Aware Minimization
Hoki Kim, Keonwoo Kim, Sungwon Chae et al.
Unlearning-based Neural Interpretations
Ching Lam Choi, Alexandre Duplessis, Serge Belongie
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Yongliang Wu, Shiji Zhou, Mingzhuo Yang et al.
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
Shengyuan Hu, Yiwei Fu, Steven Wu et al.
Unlearning the Noisy Correspondence Makes CLIP More Robust
Haochen Han, Alex Jinpeng Wang, Peijun Ye et al.
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
Zhengyi Zhong, Weidong Bao, Ji Wang et al.
Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
Chaofan Gan, Yuanpeng Tu, Xi Chen et al.
Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
Qiankun Li, Feng He, Huabao Chen et al.