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Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions.

Drawn from what Illia Polosukhin, Łukasz Kaiser and 6 others said

What they actually said

Word for word, with the source under each one. They did not write this page.

  1. Illia Polosukhin We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
  2. Łukasz Kaiser We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
  3. Aidan N. Gomez We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
  4. Llion Jones We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
  5. Jakob Uszkoreit We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
  6. Niki Parmar We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
  7. Noam Shazeer We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.
  8. Ashish Vaswani We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. arxiv.org

    One of the eight authors of the 2017 transformer paper…

    We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely.

Added to korrents 12 Jun 2017 · How quotes work · Something wrong? Tell us

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