Supervised Contrastive Learning

By Prannay Khosla, Piotr Teterwak, Chen Wang et al (Google Research), 2020

The authors use contrastive loss, which has recently been shown to be very effective at learning deep neural network representations in the self-supervised setting, for supervised learning, and achieve better results than those obtained with cross entropy loss for ResNet-50 and ResNet-200.


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