moving average a virtual adversarial training again a semi-supervised method and the pseudo labeling again a semi-supervised standard model so you see from the results where the model that they used initially was the cipher 10 data set a supervised training of 50 000 examples was trained to to given the said accuracy but as comparison with mismatch it just used in 250 labels to given the desired output similarly they did it with svhn again with 70 3250 examples with no unlabeled data at all and they got in the said