Searching Better Architectures for Neural Machine Translation

Yang Fan
Yang Fan
Fei Tian
Fei Tian
Xiang-Yang Li
Xiang-Yang Li
Tie-Yan Liu
Tie-Yan Liu

IEEE Transactions on Audio, Speech, and Language Processing, pp. 1574-1585, 2020.

Cited by: 0|Bibtex|Views16|DOI:https://doi.org/10.1109/TASLP.2020.2995270
Other Links: academic.microsoft.com

Abstract:

Neural architecture search (NAS) has played important roles in the evolution of neural architectures. However, no much attention has been paid to improve neural machine translation (NMT) through NAS approaches. In this work, we propose a gradient-based NAS algorithm for NMT, which automatically discovers architectures with better performa...More

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