the legal examples with these guest labels and using these guesses and the original labels you create an Augmented mini batch and you shuffle will combine these mini batch data points using the mix up trick and once you apply mix up to the labeled and unlabeled data you can just train a regular service learning model that has domain consistency losses and the supervisors cross will be lost treating this new batch as this mix match so mixed match is producing this processed label plus on people Taylor batch from