Deep Learning, Artificial Intelligence, Self Supervised Learning, Clustering, Contrastive Learning.
probability obtained by taking a softmax of the dot products of zi and all prototypes in C: where τ is a temperature parameter. Taking this loss over all the images and pairs of data augmentations leads to the following loss function for the swapped prediction problem: This loss function is jointly