Tangent-Normal Adversarial Regularization for Semi-Supervised Learning
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning
Compared with standard supervised learning, the key difficulty in semi-supervised learning is how to make full use of the unlabeled data. A recently proposed method, virtual adversarial training (VAT), smartly performs adversarial training without label information to impose a local smoothness on the classifier, which is especially beneficial to semi-supervised …