TSAL: Two steps Adversarial learning based domain adaptation

Since labeled data availability differs greatly across domains, Domain Adaptation focuses on learning in new and unfamiliar domains by reducing distribution divergence. Recent research suggests that the adversarial learning approach could be a promising way to achieve the domain adaptation objective...

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Podrobná bibliografie

Hlavní autoři:	haidi Hasan Badr, Nayer Mahmoud Wanas, Magda Fayek
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	LibraryPress@UF 2021-04-01
Edice:	Proceedings of the International Florida Artificial Intelligence Research Society Conference
Témata:	transfer learning adversarial learning unsupervised domain adaptation
On-line přístup:	https://journals.flvc.org/FLAIRS/article/view/128510
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