Adversarial Dropout for Supervised and Semi-Supervised Learning
Adversarial Dropout for Supervised and Semi-Supervised Learning
Recently, training with adversarial examples, which are generated by adding a small but worst-case perturbation on input examples, has improved the generalization performance of neural networks. In contrast to the biased individual inputs to enhance the generality, this paper introduces adversarial dropout, which is a minimal set of dropouts that …