Quantum Adversarial Transfer Learning

Adversarial transfer learning is a machine learning method that employs an adversarial training process to learn the datasets of different domains. Recently, this method has attracted attention because it can efficiently decouple the requirements of tasks from insufficient target data. In this study...

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Detalles Bibliográficos
Autores principales: Wang, Longhan, Sun, Yifan, Zhang, Xiangdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378263/
https://www.ncbi.nlm.nih.gov/pubmed/37510037
http://dx.doi.org/10.3390/e25071090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378263/
https://www.ncbi.nlm.nih.gov/pubmed/37510037
http://dx.doi.org/10.3390/e25071090

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