Title
Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation
Abstract
Domain adaptation, which transfers the knowledge from label-rich source domain to unlabeled target domains, is a challenging task in machine learning. The prior domain adaptation methods focus on pairwise adaptation assumption with a single source and a single target domain, while little work concerns the scenario of one source domain and multiple target domains. Applying pairwise adaptation metho...
Year
DOI
Venue
2022
10.1109/TPAMI.2020.3026079
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
DocType
Volume
Semantics,Feature extraction,Adaptation models,Training,Task analysis,Machine learning,Data models
Journal
44
Issue
ISSN
Citations 
4
0162-8828
5
PageRank 
References 
Authors
0.40
19
4
Name
Order
Citations
PageRank
Xu Yang1458.16
Cheng Deng2128385.48
Tongliang Liu390247.13
Dacheng Tao419032747.78