Contrastive Representation Learning: A Framework and Review

Phuc H. Le-Khac
Phuc H. Le-Khac

IEEE Access, pp. 193907-193934, 2020.

Cited by: 0|Bibtex|Views50|DOI:https://doi.org/10.1109/ACCESS.2020.3031549
Other Links: arxiv.org|academic.microsoft.com

Abstract:

Contrastive Learning has recently received interest due to its success in self-supervised representation learning in the computer vision domain. However, the origins of Contrastive Learning date as far back as the 1990s and its development has spanned across many fields and domains including Metric Learning and natural language processing...More

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