have like some sort of loss function that would put special weight on the ones that are labeled or somehow handle these ones that are unlabeled in a way you might be doing like a some sort of a consistency loss such that if they are very nearest near neighbors to these in the feature space they should have similar labels or things like this so these semi-supervised methods they basically try to solve the problem at once but while taking data that is labeled and not labeled this paper goes into a different direction this paper