A study of the generalizability of self-supervised representations

Recent advancements in self-supervised learning (SSL) made it possible to learn generalizable visual representations from unlabeled data. The performance of Deep Learning models fine-tuned on pretrained SSL representations is on par with models fine-tuned on the state-of-the-art supervised learning...

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Podrobná bibliografie

Hlavní autoři:	Atharva Tendle, Mohammad Rashedul Hasan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2021-12-01
Edice:	Machine Learning with Applications
Témata:	Self-supervised learning Supervised learning Transfer learning Generalizability Invariance
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2666827021000621
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