incorrect labels that it's generated so what we're hoping to do is to add another element another method of learning from the unlabeled data so that we can improve our confidence without sort of without having to jump to data points that that would not be correctly labeled by pseudo label so the second method is this idea of consistency regularization now this says this says that if you have if you have an unlabeled data point and the model is confident about what that data point should be above a certain level we can