difference between the outputs of the model or dutiful views and for label either you can force both of these losses well for unlabeled data you can you just enforce this label consistency loss which is you just take your output before the softmax or even after the softmax it depends on how you want to implement it but you take a particular layer at the end and you make sure that the layers is similar for two different views and you weigh both these losses together so one is gonna be unsupervised on same squares loss and the other is