this led to the unsupervised training signal being pretty much dominated by the the supervised signal and so that their solution they another one of the contributions I mentioned in the beginning was to sharpen in a few different ways the prediction the predicted distribution produced on unlabeled samples so that there would be basically to encourage the model to use the training signal from from the unlabeled samples so the specific techniques that they use were entropy minimization so they added an over an entropy term to