Exploring probabilistic models for semi-supervised learning

Exploring probabilistic models for semi-supervised learning

<p>Deep neural networks are increasingly harnessed for computer vision tasks, thanks to their robust performance. However, their training demands large-scale labeled datasets, which are labor-intensive to prepare. Semi-supervised learning (SSL) offers a solution by learning from a mix of label...

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Dettagli Bibliografici
Autore principale:	Wang, J
Altri autori:	Lukasiewicz, T
Natura:	Tesi
Lingua:	English
Pubblicazione:	2023
Soggetti:	Machine learning

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