Papers with adversarial stability training
Towards Robust Neural Machine Translation (P18-1)
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| Challenge: | Small perturbations in the input can severely distort intermediate representations and thus impact translation quality of neural machine translation models. |
| Approach: | They propose adversarial stability training to make encoder and decoder robust to perturbations by enabling them to behave similarly for the original input and its perturbed counterpart. |
| Outcome: | The proposed approach improves translation quality and robustness over strong models on Chinese-English, English-German and English-French translation tasks. |