Adversarial Training Methods for Semi-Supervised Text Classification

25 May 2016 Takeru Miyato Andrew M. Dai Ian Goodfellow

Adversarial training provides a means of regularizing supervised learning algorithms while virtual adversarial training is able to extend supervised learning algorithms to the semi-supervised setting. However, both methods require making small perturbations to numerous entries of the input vector, which is inappropriate for sparse high-dimensional inputs such as one-hot word representations... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Sentiment Analysis IMDb Virtual adversarial training Accuracy 94.1 # 12

Methods used in the Paper


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