Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder

Yuze Li; Yan Zhang; Chunling Yang

doi:10.1016/j.knosys.2022.109065

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Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder

Yuze Li Yan Zhang Chunling Yang

Year: 2022 Journal: Knowledge-Based Systems Vol: 250 Pages: 109065-109065 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2022.109065

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Keywords:

Autoencoder Computer science Domain (mathematical analysis) Artificial intelligence Joint probability distribution Joint (building) Marginal distribution Pattern recognition (psychology) Conditional probability distribution Matching (statistics) Adaptation (eye) Machine learning Generative grammar Domain adaptation Divergence (linguistics) Similarity (geometry) Data mining Artificial neural network Image (mathematics) Mathematics

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder

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