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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Patent
Methods and Apparatus for Employing Usage Statistics in Document Retrieval
TL;DR: In this paper, a search query is received and a list of responsive documents is identified, and the responsive documents are organized based in whole or in part on usage statistics, based on the search query.
Journal ArticleDOI
Deep learning-enabled medical computer vision.
Andre Esteva,Katherine Chou,Serena Yeung,Nikhil Naik,Ali Madani,Ali Mottaghi,Yun Liu,Eric J. Topol,Jeffrey Dean,Richard Socher +9 more
TL;DR: In this paper, the authors survey recent progress in the development of modern computer vision techniques-powered by deep learning-for medical applications, focusing on medical imaging, medical video, and clinical deployment.
Patent
System and method of accessing a document efficiently through multi-tier web caching
Eric Russell Fredricksen,Fritz Schneider,Jeffrey Dean,Sanjay Ghemawat,Niels Provos,Georges R. Harik +5 more
TL;DR: In this article, a client assistant examines its cache for the requested document, and if the client assistant cannot provide the copy, the server seeks it from a document repository rather than the document's web host.
Posted Content
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini,Hieu Pham,Quoc V. Le,Benoit Steiner,R. M. Larsen,Yuefeng Zhou,Naveen Kumar,Mohammad Norouzi,Samy Bengio,Jeffrey Dean +9 more
TL;DR: A method which learns to optimize device placement for TensorFlow computational graphs using a sequence-to-sequence model, which finds non-trivial device placements that outperform hand-crafted heuristics and traditional algorithmic methods.
Patent
Serving advertisements using information associated with e-mail
TL;DR: In this article, advertisers are permitted to put targeted ads on e-mails by obtaining information of an e-mail that includes available spots for ads and determining one or more ads relevant to the e-email information.