Tensor2tensor For Neural Machine Translation

Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit . Arxiv 2018 – 332 citations

[Paper]    
Compositional Generalization Content Enrichment Interdisciplinary Approaches Model Architecture Neural Machine Translation Tools Variational Autoencoders Visual Question Answering

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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