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    First name: Jeffrey
    Last name: Dean
    DBLP: d/JeffreyDean
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    Below you find the publications which have been written by this author.

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    Conference paper
    Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeffrey Dean.
    Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jeffrey Dean.
    Large-Scale Deep Learning For Building Intelligent Computer Systems.
    Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016 2016 (0) 2016
    Conference paper
    Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom.
    The Beckman report on database research.
    Commun. ACM 2016, Volume 59 (0) 2016
    Conference paper
    Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng.
    TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang.
    TensorFlow: A system for large-scale machine learning.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Gregory S. Corrado, Macduff Hughes, Jeffrey Dean.
    Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng.
    TensorFlow: A System for Large-Scale Machine Learning.
    12th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2016, Savannah, GA, USA, November 2-4, 2016. 2016 (0) 2016
    Journal article
    Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda B. Viégas, Martin Wattenberg, Gregory S. Corrado, Macduff Hughes, Jeffrey Dean.
    Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Geoffrey E. Hinton, Oriol Vinyals, Jeffrey Dean.
    Distilling the Knowledge in a Neural Network.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Jeffrey Dean.
    The rise of cloud computing systems.
    SOSP History Day 2015, Monterey, California, USA, October 4, 2015 2015 (0) 2015
    Conference paper
    Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom.
    The Beckman Report on Database Research.
    SIGMOD Record 2014, Volume 43 (0) 2014
    Conference paper
    Jeffrey Dean, Luiz André Barroso.
    The tail at scale.
    Commun. ACM 2013, Volume 56 (0) 2013
    Conference paper
    James C. Corbett, Jeffrey Dean, Michael 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 Szymaniak, Christopher Taylor, Ruth Wang, Dale Woodford.
    Spanner: Google's Globally Distributed Database.
    ACM Trans. Comput. Syst. 2013, Volume 31 (0) 2013
    Conference paper
    Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc V. Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton.
    On rectified linear units for speech processing.
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013 2013 (0) 2013
    Conference paper
    Georg Heigold, Vincent Vanhoucke, Andrew W. Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin, Jeffrey Dean.
    Multilingual acoustic models using distributed deep neural networks.
    IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013 2013 (0) 2013
    Conference paper
    Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc V. Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer.
    Using Web Co-occurrence Statistics for Improving Image Categorization.
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Gregory S. Corrado, Jeffrey Dean.
    Zero-Shot Learning by Convex Combination of Semantic Embeddings.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, Jeffrey Dean.
    Distributed Representations of Words and Phrases and their Compositionality.
    Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. 2013 (0) 2013
    Conference paper
    Andrea Frome, Gregory S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc'Aurelio Ranzato, Tomas Mikolov.
    DeViSE: A Deep Visual-Semantic Embedding Model.
    Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. 2013 (0) 2013
    Conference paper
    Tomas Mikolov, Ilya Sutskever, Kai Chen 0010, Gregory S. Corrado, Jeffrey Dean.
    Distributed Representations of Words and Phrases and their Compositionality.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Tomas Mikolov, Kai Chen 0010, Gregory S. Corrado, Jeffrey Dean.
    Efficient Estimation of Word Representations in Vector Space
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Gregory S. Corrado, Kai Chen 0010, Jeffrey Dean, Andrew Y. Ng.
    Building high-level features using large scale unsupervised learning.
    Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 2012 (0) 2012
    Conference paper
    James C. Corbett, Jeffrey Dean, Michael 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 Szymaniak, Christopher Taylor, Ruth Wang, Dale Woodford.
    Spanner: Google's Globally-Distributed Database.
    10th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2012, Hollywood, CA, USA, October 8-10, 2012 2012 (0) 2012
    Conference paper
    Jeffrey Dean, Gregory S. Corrado, Rajat Monga, Kai Chen 0010, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc'Aurelio Ranzato, Andrew W. Senior, Paul A. Tucker, Ke Yang, Andrew Y. Ng.
    Large Scale Distributed Deep Networks.
    Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012 (0) 2012
    Conference paper
    Quoc V. Le, Rajat Monga, Matthieu Devin, Gregory S. Corrado, Kai Chen 0010, Marc'Aurelio Ranzato, Jeffrey Dean, Andrew Y. Ng.
    Building high-level features using large scale unsupervised learning
    CoRR 2011, Volume 0 (0) 2011
    Show item 1 to 25 of 59  

    Your query returned 59 matches in the database.