hi there today we're looking at supervised contrast of learning by people from Google research and MIT now this paper proposes a new loss for supervised learning and you might recognize that this is a big claim so for ever now we basically use this cross-entropy loss in order to do supervised training of neural networks this paper proposes to replace that with the supervised contrastive loss and let's jump straight into the results here they say our supervised contrastive loss outperforms the cross-entropy loss