Abstract: Systems and methods applicable, for instance, to training machine learning models (MLMs). Training of a multihead classifier MLM can utilize a two term loss function. A first term of the loss function can be used to reward each of the heads for the extent to which it properly predicts labels of the labeled training data instances. A second term of the loss function can reward each of the heads for the extent to which it disagrees with each of the other heads in terms of predicting labels. As such, the MLM can both predict proper labels for the labeled training data instances and be distinct on the unlabeled instances.