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Attention Is All You Need
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2017 research paper by Google
2017
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"Attention Is All You Need" is a 2017 research paper in machine learning authored by eight scientists working at Google. The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. The transformer approach it describes has become the main architecture of a...

arXiv1706.03762 Full Textpapers.nips.cc
Websitepapers.nips.cc
Instance of
Scholarly article
Author
Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Łukasz Kaiser
Illia Polosukhin
Published in
Advances in Neural Information Processing Systems 30
Subject
Neural machine translation
Attention (machine learning)
Transformer (deep learning architecture)
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