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.
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Efficient Neural Architecture Search via Parameter Sharing
TL;DR: Efficient Neural Architecture Search is a fast and inexpensive approach for automatic model design that establishes a new state-of-the-art among all methods without post-training processing and delivers strong empirical performances using much fewer GPU-hours.
Journal ArticleDOI
Continuous profiling: where have all the cycles gone?
Jennifer M. Anderson,Lance M. Berc,Jeffrey Dean,Sanjay Ghemawat,Monika Henzinger,Shun-Tak Albert Leung,Richard L. Sites,Mark T. Vandevoorde,Carl A. Waldspurger,William E. Weihl +9 more
TL;DR: The Digital Continuous Profiling Infrastructure is a sampling-based profiling system designed to run continuously on production systems, supporting multiprocessors, works on unmodified executables, and collects profiles for entire systems, including user programs, shared libraries, and the operating system kernel.
Proceedings ArticleDOI
On rectified linear units for speech processing
Matthew D. Zeiler,Marc'Aurelio Ranzato,Rajat Monga,Mark Z. Mao,Ke Yang,Quoc V. Le,Patrick Nguyen,Andrew W. Senior,Vincent Vanhoucke,Jeffrey Dean,Geoffrey E. Hinton +10 more
TL;DR: This work shows that it can improve generalization and make training of deep networks faster and simpler by substituting the logistic units with rectified linear units.
Journal ArticleDOI
Spanner: Google’s Globally Distributed Database
James C. Corbett,Jeffrey Dean,Michael James Boyer Epstein,Andrew Fikes,Christopher Frost,J. J. Furman,Sanjay Ghemawat,Andrey Gubarev,Christopher Heiser,Peter Hochschild,Wilson C. Hsieh,Sebastian Kanthak,Eugene Kogan,Hongyi Li,Alexander Lloyd,Sergey Melnik,David Mwaura,David Nagle,Sean Quinlan,Rajesh Rao,Lindsay Rolig,Yasushi Saito,Michal Piotr Szymaniak,Chris Jorgen Taylor,Ruth Wang,Dale Woodford +25 more
TL;DR: Spanner as mentioned in this paper is Google's scalable, multiversion, globally distributed, and synchronously replicated database, which is the first system to distribute data at global scale and support externally-consistent distributed transactions.
Journal ArticleDOI
Emergent Abilities of Large Language Models
Jason Loh Seong Wei,Yi Tay,Rishi Bommasani,Colin Raffel,Barret Zoph,Sebastian Borgeaud,Dani Yogatama,Maarten Bosma,Denny Zhou,Donald Metzler,Ed H. Chi,Tatsunori Hashimoto,Oriol Vinyals,Percy Liang,Jeffrey Dean,William Fedus +15 more
TL;DR: The authors discusses an unpredictable phenomenon that is referred to as emergent abilities of large language models, i.e., an ability to be emergent if it is not present in smaller models but is present in larger models.