A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation

Eva Blanco-Mallo; Verónica Bolón‐Canedo; Beatriz Remeseiro

doi:10.1007/978-3-031-48232-8_3

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A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation

Eva Blanco-Mallo Verónica Bolón‐Canedo Beatriz Remeseiro

Year: 2023 Lecture notes in computer science Pages: 22-27 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-48232-8_3

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Keywords:

Computer science Artificial intelligence Domain adaptation Invariant (physics) Domain (mathematical analysis) Adversarial system Reuse Set (abstract data type) Pattern recognition (psychology) Adaptation (eye) Feature (linguistics) Class (philosophy) Machine learning Mathematics Classifier (UML)

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation

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