📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Making asynchronous stochastic gradient descent work for transformers (2019)

First Author: Aji A.F.

Attributed to: Peta-5: A National Facility for Petascale Data Intensive Computation and Analytics funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Type: Other

Parent Publication: EMNLP-IJCNLP 2019 - Proceedings of the 3rd Workshop on Neural Generation and Translation