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arxiv: 1803.07416 · v1 · pith:LCAZFOOLnew · submitted 2018-03-16 · 💻 cs.LG · cs.CL· stat.ML

Tensor2Tensor for Neural Machine Translation

Ashish Vaswani , Samy Bengio , Eugene Brevdo , Francois Chollet , Aidan N. Gomez , Stephan Gouws , Llion Jones , {\L}ukasz Kaiser
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Nal Kalchbrenner Niki Parmar Ryan Sepassi Noam Shazeer Jakob Uszkoreit
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classification 💻 cs.LG cs.CLstat.ML
keywords machineneuraltensor2tensortranslationdeepimplementationincludeslearning
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Tensor2Tensor is a library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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    Gated lexical shortcut connections added to the transformer yield 0.9 BLEU average gains on five WMT directions while lowering the lexical content stored in hidden states.

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