two different data batches that are coming independently so the last function for mixed match is going to be the regular cross country loss in a classifier there's some kind of consistency laws for unlabeled data points that you normally use in semi-supervised learning with some waiting constant and in practice it works really well earlier you saw in the realistic evaluation of learning algorithms that all these techniques were not really working well and this was concurrent work with UDA and you can clearly see