classification and it's also a really powerful technique for model compression such as say distilled Bert or you have these high capacity models then you use the high capacity model to produce a new class label distribution that is better than the one hunter for training the student network and then the student network learned that a combination of this distillation class distribution as well as the ground truth what hot encoded vectors so these are some examples of different target distributions that have been explored in