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
Brainformers: Trading Simplicity for Efficiency
Yanqi Zhou,Nan Du,Yanping Huang,Daiyi Peng,Da Huang,Siamak Shakeri,David R. So,Andrew M. Dai,Yifeng Lu,Zhifeng Chen,Quoc Le,Claire Cui,J.H.J. Laundon,Jeffrey Dean +13 more
TL;DR: Brainformer as mentioned in this paper proposes a more complex block, named Brainformer, which consists of a diverse set of layers such as sparsely gated feed-forward layers, dense feed forward layers, attention layers, and various forms of layer normalization and activation functions.
Journal ArticleDOI
Author Correction: A graph placement methodology for fast chip design
Patent
Informationsabruf auf der Basis von historischen Daten
Anurag Acharya,Simon Tong,Matt Cutts,Jeffrey Dean,Paul Haahr,Monika H. Henzinger,Urs Hoelzle,Steve Lawrence,Karl Pfleger,Olcan Sercinoglu +9 more
Patent
Method for document scoring
Anurag Acharya,Matt Cutts,Jeffrey Dean,Paul Haahr,Monika Henzinger,Urs Hoelzle,Steve Lawrence,Karl Pfleger,Olcan Sercinoglu,Simon Tong,アチャーヤ・アヌラグ,カッツ・マット,セルチノグル・オルカン,ディーン・ジェフリー,トン・シモン,ハーアー・ポール,プフェレガー・カール,ヘンジンガー・モニカ,ホエルツル・ウース,ローレンス・スティーブ +19 more
TL;DR: In this article, the most relevant search results are provided to the user by identifying a document, obtaining one or more types of history data associated with the document, and generating a score for the document based, at least in part, on the one or multiple types of historical data.