J
Jeffrey Dean
Researcher at Google
Publications - 255
Citations - 207859
Jeffrey Dean is an academic researcher from Google. The author has contributed to research in topics: Deep learning & Web search query. The author has an hindex of 83, co-authored 242 publications receiving 179031 citations. Previous affiliations of Jeffrey Dean include University of Washington & World Health Organization.
Papers
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Journal ArticleDOI
MapReduce: a flexible data processing tool
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs.
Journal ArticleDOI
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson,Mike Schuster,Quoc V. Le,Maxim Krikun,Yonghui Wu,Zhifeng Chen,Nikhil Thorat,Fernanda B. Viégas,Martin Wattenberg,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +11 more
TL;DR: This work proposes a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages using a shared wordpiece vocabulary, and introduces an artificial token at the beginning of the input sentence to specify the required target language.
Posted Content
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam Shazeer,Azalia Mirhoseini,Krzysztof Maziarz,Andy Davis,Quoc V. Le,Geoffrey E. Hinton,Jeffrey Dean +6 more
TL;DR: This work introduces a Sparsely-Gated Mixture-of-Experts layer (MoE), consisting of up to thousands of feed-forward sub-networks, and applies the MoE to the tasks of language modeling and machine translation, where model capacity is critical for absorbing the vast quantities of knowledge available in the training corpora.
Journal ArticleDOI
Web search for a planet: The Google cluster architecture
TL;DR: Googless architecture features clusters of more than 15,000 commodity-class PCs with fault tolerant software that achieves superior performance at a fraction of the cost of a system built from fewer, but more expensive, high-end servers.