Papers by Ondřej Plátek

1 papers
Using Adversarial Examples in Natural Language Processing (L18-1)

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Challenge: Recent advances in machine learning have led to the use of adversarial examples in training of neural networks.
Approach: They investigate the effect of using adversarial examples during training of recurrent neural networks whose text input is in the form of a sequence of word/character embeddings.
Outcome: The proposed method provides regularization effect and enables training of models with greater number of parameters without overfitting.

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