Deep Learning, Artificial Intelligence, Convolutional Network, Semi Supervised Learning, Image Classification.
Mutual-exclusivity loss function of [30] forces the classifier’s prediction vector to have only one non-zero element. This loss function naturally complements the transformation/stability loss function. In supervised learning, each element of the prediction vector is pushed towards zero or one