Contrastive Representation Learning: A Framework and Review

@article{Khc2020ContrastiveRL,
  title={Contrastive Representation Learning: A Framework and Review},
  author={Ph{\'u}c H. L{\^e} Khắc and G. Healy and A. Smeaton},
  journal={IEEE Access},
  year={2020},
  volume={8},
  pages={193907-193934}
}
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. In this paper, we provide a comprehensive literature review and we propose a general Contrastive Representation Learning framework that simplifies and… Expand
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