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

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

  1. HuggingFace's Transformers: State-of-the-art Natural Language Processing

    cs.CL 2019-10 accept novelty 6.0

    Hugging Face releases an open-source Python library that supplies a unified API and pretrained weights for major Transformer architectures used in natural language processing.