Unsupervised domain adaptation: A multi-task learning-based method
نویسندگان
چکیده
منابع مشابه
Unsupervised Domain Adaptation: A Multi-task Learning-based Method
This paper presents a novel multi-task learningbased method for unsupervised domain adaptation. Specifically, the source and target domain classifiers are jointly learned by considering the geometry of target domain and the divergence between the source and target domains based on the concept of multi-task learning. Two novel algorithms are proposed upon the method using Regularized Least Squar...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2019
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2019.104975