ADVERSARIAL ATTACK ON NEURAL MACHINE TRANSLATION MODELS AS DISCRETE OPTIMIZATION
Machine Translation models are commonly trained only on perfect grammar corpora. Training on perfect grammar corpora might predispose the model to be biased against minorities from non-standard linguistics backgrounds. Adversarial attack is one way to protect machine learning models from this bia...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/65291 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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