Wasserstein Uncertainty Estimation for Adversarial Domain Matching

Domain adaptation aims at reducing the domain shift between a labeled source domain and an unlabeled target domain, so that the source model can be generalized to target domains without fine tuning. In this paper, we propose to evaluate the cross-domain transferability between source and target samp...

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Detalles Bibliográficos
Autores principales: Wang, Rui, Zhang, Ruiyi, Henao, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128531/
https://www.ncbi.nlm.nih.gov/pubmed/35620565
http://dx.doi.org/10.3389/fdata.2022.878716

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128531/
https://www.ncbi.nlm.nih.gov/pubmed/35620565
http://dx.doi.org/10.3389/fdata.2022.878716

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