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Attention is All you Need - NIPS

Attention Is All You NeedAshish Vaswani Google Shazeer Google Parmar Google Uszkoreit Google Jones Google N. Gomez University of ukasz Kaiser Google Polosukhin dominant sequence transduction models are based on complex recurrent orconvolutional neural networks that include an encoder and a decoder. The bestperforming models also connect the encoder and decoder through an attentionmechanism. We propose a new simple network architecture, the Transformer,based solely on Attention mechanisms, dispensing with recurrence and convolutionsentirely. Experiments on two machine translation tasks show these models tobe superior in quality while being more parallelizable and requiring significantlyless time to train.

31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA. Recurrent models typically factor computation along the symbol positions of the input and output sequences. Aligning the positions to steps in computation time, they generate a …

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  Information, System, 2017, Processing, Inps, Neural, Neural information processing systems, Nips 2017

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