I agree with Op that this is still essentially learning on labeled data. I say this, since there are also cases of constrastive sampling like ideas with truly

I agree with Op that this is still essentially learning on labeled data. I say this, since there are also cases of constrastive sampling like ideas with truly unsupervised data. For example, Graph Embedding, where a graph implies structural features of similarity and distance that the representations should capture.