相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Domain Adaptation on Graphs by Learning Aligned Graph Bases
Mehmet Pilanci et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)
Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation
Guoliang Kang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)
Improved Techniques for Adversarial Discriminative Domain Adaptation
Aaron Chadha et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)
Locality Preserving Joint Transfer for Domain Adaptation
Jingjing Li et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Normalized Wasserstein for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation
Yogesh Balaji et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
An Embarrassingly Simple Approach to Visual Domain Adaptation
Hao Lu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Graph Matching and Pseudo-Label Guided Deep Unsupervised Domain Adaptation
Debasmit Das et al.
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III (2018)
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization
Muhammad Ghifary et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Unified Deep Supervised Domain Adaptation and Generalization
Saeid Motiian et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Unsupervised Domain Adaptation With Label and Structural Consistency
Cheng-An Hou et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)
DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning
Hien V. Nguyen et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2015)
A theory of learning from different domains
Shai Ben-David et al.
MACHINE LEARNING (2010)
分享论文
