Article

Similarity Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling

2023-07-27

Abstract excerpt

The inherent dependency of deep learning models to labeled data is a well-known problem and one of the barriers that slows down the integration of such methods into different fields of applied sciences and engineering, in which experimental and numerical methods can easily generate a colossal amount of unlabeled data. This paper proposes an unsupervised domain adaptation methodology that mimics the peer review pro...

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Literature Corpus work: e1ab5f6a-7c09-5c5c-8bcc-d4a3a5855ac7
DOI: 10.20944/preprints202307.1874.v1

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