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• End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models

  Yangtao Wang, Xingwei Deng, Yanzhao Xie, Weilong Peng, Siyuan Chen, Xiaocui Li, Maobin Tang, Meie Fang

  26624-26633

  2026-03-14

• Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

  Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang

  1984-1992

  2021-05-18

• RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis

  Linfeng Dong, Yuchen Yang, Hao Wu, Wei Wang, Yuenan Hou, Zhihang Zhong, Xiao Sun

  3632-3640

  2026-03-14

• Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation

  Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon

  10145-10154

  2024-03-24

• Grape Cold Hardiness Prediction via Multi-Task Learning

  Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern

  15717-15723

  2024-07-15

• Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

  Nicholas Lui, Bryan Chia, William Berrios, Candace Ross, Douwe Kiela

  14220-14228

  2024-03-24

• Deep Contextual Clinical Prediction with Reverse Distillation

  Rohan Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit, David Sontag

  249-258

  2021-05-18

• Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence

  Zixi Chen, Yumin Xu, Ruixun Zhang

  15993-16000

  2025-04-11

• Playing Lottery Tickets with Vision and Language

  Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu

  652-660

  2022-06-28

• ShareBERT: Embeddings Are Capable of Learning Hidden Layers

  Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi

  18225-18233

  2024-03-24

• Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge

  Filippo Aleotti, Matteo Poggi, Fabio Tosi, Stefano Mattoccia

  10435-10442

  2020-04-03

• Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks

  Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou

  13855-13863

  2024-03-24

• Distilling Localization for Self-Supervised Representation Learning

  Nanxuan Zhao, Zhirong Wu, Rynson W.H. Lau, Stephen Lin

  10990-10998

  2021-05-18

• Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

  Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

  15008-15015

  2021-05-18

• Next-Generation Metalens Vision System: Powered by AI and Applied to AI

  Fen Fang, Muli Yang, Henan Wang, Xinan Liang, Tobias Mass, Xuewu Xu, Xulei Yang, Zhengguo Li

  41580-41582

  2026-03-14

• A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy

  Zhenbang Zhang, Hongjia Li, Zhiqiang Xu, Wenjia Meng, Renmin Han

  1156-1164

  2025-04-11

• Learning Expected Hitting Time Distance

  De-Chuan Zhan, Peng Hu, Zui Chu, Zhi-Hua Zhou

  2016-03-02

• Generative-Based Fusion Mechanism for Multi-Modal Tracking

  Zhangyong Tang, Tianyang Xu, Xiaojun Wu, Xue-Feng Zhu, Josef Kittler

  5189-5197

  2024-03-24

• Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis

  Qihao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu, Jinkai Li, Xinheng Lyu, Yong Xu

  27314-27322

  2026-03-14

• Retention Score: Quantifying Jailbreak Risks for Vision Language Models

  Zaitang LI, Pin-Yu Chen, Tsung-Yi Ho

  27446-27454

  2025-04-11

• Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models

  Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes

  630-636

  2010-07-03

• Online Random Feature Forests for Learning in Varying Feature Spaces

  Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

  4587-4595

  2023-06-26

• MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction

  Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou

  14642-14650

  2024-03-24

• Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty

  Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael Huang, Tony Geng

  9354-9363

  2023-06-26

• Semi-Supervised Knowledge Amalgamation for Sequence Classification

  Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A Rundensteiner

  9859-9867

  2021-05-18