Active Dynamic Weighting for multi-domain adaptation

Multi-source unsupervised domain adaptation aims to transfer knowledge from multiple labeled source domains to an unlabeled target domain. Existing methods either seek a mixture of distributions across various domains or combine multiple single-source models for weighted fusion in the decision proce...

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Veröffentlicht in:	Neural networks 2024-09, Vol.177, p.106398, Article 106398
Hauptverfasser:	Liu, Long, Zhou, Bo, Zhao, Zhipeng, Liu, Zening
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning Algorithms Distribution alignment Domain adaptation Humans Neural Networks, Computer Transfer learning Unsupervised Machine Learning
Online-Zugang:	Volltext
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