they are no longer recognizable or they're not related to the label that they should have assigned any questions so far so this this is what supervised data augmentation looks like here so here Q is is our transformation function so you can see it's conditioned on an input example X and then X hat is the Augmented data sample and so so basically we're trying to minimize the log likelihood the negative log likelihood of the true ground source ground truth label which is y star given an Augmented sample X hat and and so