NMTSloth: understanding and testing efficiency degradation of neural machine translation systems

Author:

Chen Simin1,Liu Cong1,Haque Mirazul1,Song Zihe1,Yang Wei1

Affiliation:

1. University of Texas at Dallas, USA

Funder

NSF grant

Siemens Fellowship

Publisher

ACM

Reference61 articles.

1. AllenAI. 2022. https://huggingface.co/allenai/wmt16-en-de-dist-12-1. https://huggingface.co/allenai/wmt16-en-de-dist-12-1 AllenAI. 2022. https://huggingface.co/allenai/wmt16-en-de-dist-12-1. https://huggingface.co/allenai/wmt16-en-de-dist-12-1

2. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . Neural Machine Translation by Jointly Learning to Align and Translate . In 3rd International Conference on Learning Representations, ICLR 2015. Openreview.net. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In 3rd International Conference on Learning Representations, ICLR 2015. Openreview.net.

3. Yonatan Belinkov and Yonatan Bisk . 2018 . Synthetic and Natural Noise Both Break Neural Machine Translation. In 6th International Conference on Learning Representations, ICLR 2018. OpenReview.net. Yonatan Belinkov and Yonatan Bisk. 2018. Synthetic and Natural Noise Both Break Neural Machine Translation. In 6th International Conference on Learning Representations, ICLR 2018. OpenReview.net.

4. Wieland Brendel , Jonas Rauber , Matthias Kümmerer , Ivan Ustyuzhaninov , and Matthias Bethge . 2019 . Accurate, reliable and fast robustness evaluation . In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019 , NeurIPS 2019. 12841–12851. Wieland Brendel, Jonas Rauber, Matthias Kümmerer, Ivan Ustyuzhaninov, and Matthias Bethge. 2019. Accurate, reliable and fast robustness evaluation. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019. 12841–12851.

5. Nicholas Carlini and David Wagner. 2017. Towards evaluating the robustness of neural networks. In 2017 ieee symposium on security and privacy (sp). 39–57. Nicholas Carlini and David Wagner. 2017. Towards evaluating the robustness of neural networks. In 2017 ieee symposium on security and privacy (sp). 39–57.

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