Semi Supervised Training

How is semi-supervised training different from unsupervised training?

Semi-supervised methods refers to training on a dataset in which only a little portion have labels while most of the data remain unlabeled. Usually these methods train like a supervised model on labeled data, and performing auxiliary updates on unlabeled data.