Jeffrey Dean - Research at Google. I joined Google in mid- 1. I'm currently a Google Senior Fellow in the Research. Group, where I lead the Google Brain project. My areas of interest include. While at. Google, I've worked on the following projects. The design and implementation of the initial version of Google's advertising. The design and implementation of five generations of our crawling, indexing. I recently gave a talk at WSDM'0. The initial development of Google's. Ad. Sense for Content product (involving both the production serving system. The development of Protocol Buffers, a way of encoding structured data in an. Protocol Buffers are used. Google for almost all RPC protocols, and for storing structured. A version of the protocol. Some of the initial production serving system work for the Google News product, working with Krishna Bharat to. Some aspects of. our search ranking algorithms, notably improved handling for dealing with off- page. The design and implementation of the first generation of our automated job. The design and implementation of prototyping infrastructure for rapid. The design and implementation of Map. Reduce, a system for simplifying the. A paper about Map. Reduce appeared in OSDI'0.
The design and implementation of Big. Table, a large- scale semi- structured. Google products. A paper about Big. Table appeared in OSDI'0. Thinking of names? Complete 2017 information on the meaning of Jeffrey, its origin, history, pronunciation, popularity, variants and more as a baby boy name. Yuefeng Zhou, Naveen Kumar, Rasmus Larsen, Jeff Dean. ICML., Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean. Jeffrey Adgate Dean. Ph.D. Thesis. Some of the production system design for Google Translate, our statistical machine. In particular, I designed and implemented a system for. Some internal tools to make it easy to rapidly search our internal source code. Many of the ideas from this internal tool were incorporated into our. Google Code Search product. The design and implementation of two generations of systems for large- scale. Dist. Belief, and Tensor. Flow. Tensor. Flow is now an open source project. Git. Hub. I enjoy developing software with great colleagues, and I've been fortunate to. Google. To help ensure that Google continues to hire people with excellent technical skills. I've also been fairly involved in our engineering hiring process. I received a Ph. D. Computer Science from the University of Washington, working. Craig Chambers on whole- program optimization techniques for object- oriented. I received a B. S., summa cum laude from the University of. Minnesota in Computer Science & Economics in 1. From 1. 99. 6 to 1. I worked. for Digital Equipment Corporation's Western Research Lab in Palo Alto, where I. From 1. 99. 0 to. I worked for the World Health Organization's Global Programme on AIDS. HIV pandemic. In 2. I was elected to the National Academy of. Engineering, and I was also named a Fellow of the Association. Computing Machinery (ACM) and a Fellow of the American Association for the. Advancement of Sciences (AAAS). Selected slides from talks: Berkeley AMPLab Cloud Seminar talk, March, 2. Achieving Rapid Response Times in Large Online. Services. Stanford Computer Science Department Distinguished Computer Scientist Lecture. November, 2. 01. 0: Building. Software Systems at Google and Lessons Learned. Symposium on Cloud Computing (SOCC) keynote, June, 2. Evolution and Future Directions of Large- scale. Storage and Computation Systems at Google. Web Search and Data Mining Conference (WSDM) keynote, February, 2. Challenges in Building Large- Scale. Information Retrieval Systems. Google Faculty Summit talk, July, 2. Some Potential Areas for Future. Research. Stanford CS2. Spring, 2. 00. 7: Software Engineering Advice from Building. ИЛЬ ДЕ БОТЭ — магазины парфюмерно-косметической продукции. У нас вы найдете: парфюмерию и. Jeffrey Dahmer ChildhoodLarge- Scale Distributed Systems. Personal: I've lived in lots of places in my life: Honolulu, HI; Manila, The Phillipines. Boston, MA; West Nile District, Uganda; Boston (again); Little Rock, AR; Hawaii. Minneapolis, MN; Mogadishu, Somalia; Atlanta, GA; Minneapolis (again). Geneva, Switzerland; Seattle, WA; and (currently) Palo Alto, CA. I'm hard- pressed to. One of my life goals is to play soccer and basketball on every continent. So far. I've done so in North America, South America, Europe, Asia, and Africa. I'm worried. that Antarctica might be tough, though. Device Placement Optimization with Reinforcement. Learning. Azalia Mirhoseini, Hieu Pham, Quoc Le, Mohammad Norouzi, Samy Bengio, Benoit. Steiner, Yuefeng Zhou, Naveen Kumar, Rasmus Larsen, Jeff Dean. ICML (2. 01. 7) (to appear). In- Datacenter Performance Analysis of a Tensor. Processing Unit. Norman P. Jouppi, Cliff Young, Nishant Patil, David. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan. Boden, Al Borchers, Rick Boyle, Pierre- luc Cantin, Clifford Chao, Chris Clark. Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean. Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert. Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander. Kaplan, Harshit Khaitan, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James. Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon. Mac. Kean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi. Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana. Penukonda, Andy Phelps, Jonathan Ross. ISCA (2. 01. 7) (to appear). Outrageously Large Neural Networks: The. Sparsely- Gated Mixture- of- Experts Layer. Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le. Geoffrey Hinton, Jeff Dean. ICLR (2. 01. 7). 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 Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean. Google (2. 01. 6). Google's Neural Machine Translation System. Bridging the Gap between Human and Machine Translation. 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, Łukasz. 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, Greg Corrado, Macduff Hughes, Jeffrey Dean. Co. RR, vol. abs/1. Large- Scale Deep Learning For Building Intelligent Computer Systems. Jeffrey Dean. WSDM (2. Tensor. Flow: A system for large- scale machine. Martin 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 G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin. Wicke, Yuan Yu, Xiaoqiang Zheng. USENIX Symposium on Operating Systems Design and Implementation (OSDI 1. USENIX Association (2. The Beckman report on database research. Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey. Dean, An. Hai 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. Commun. ACM, vol. Distilling the Knowledge in a Neural Network. Geoffrey Hinton, Oriol Vinyals, Jeffrey. Dean. NIPS Deep Learning and Representation Learning Workshop (2. Tensor. Flow: Large- Scale Machine Learning on. Heterogeneous Distributed Systems. Martín Abadi, Ashish Agarwal, Paul Barham, Eugene. Brevdo, Zhifeng Chen, Craig Citro, Greg. Corrado, Andy Davis, Jeffrey Dean, Matthieu. Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew. Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry. Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete. Warden, Martin Wattenberg, Martin Wicke, Yuan. Yu, Xiaoqiang Zheng. The rise of cloud computing systems. Jeffrey Dean. SOSP History Day (2. Large Scale Deep Learning. Jeffrey Dean. Tsinghua University (2. The Beckman Report on Database Research. Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip. A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, An. Hai 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. . SIGMOD Record, vol. Zero- Shot Learning by Convex Combination of. Semantic Embeddings. Mohammad Norouzi, Tomas Mikolov. Samy Bengio, Yoram. Singer, Jonathon Shlens, Andrea. Frome, Greg Corrado, Jeffrey Dean. International Conference on Learning Representations (2. De. Vi. SE: A Deep Visual- Semantic Embedding Model. Andrea Frome, Greg Corrado, Jonathon Shlens, Samy. Bengio, Jeffrey Dean, Marc’Aurelio Ranzato. Tomas Mikolov. . Neural Information Processing Systems (NIPS) (2. Distributed Representations of Words and Phrases. Compositionality. Tomas Mikolov, Ilya Sutskever, Kai Chen. Greg Corrado, Jeffrey Dean. Neural and Information Processing System (NIPS) (2. Efficient Estimation of Word Representations in. Vector Space. Tomas Mikolov, Kai Chen, Greg S. Corrado, Jeffrey. Dean. International Conference on Learning Representations (2. Multilingual acoustic models using distributed deep. Georg Heigold, Vincent Vanhoucke, Andrew Senior, Patrick Nguyen, Marc'aurelio Ranzato. Matthieu Devin, Jeff. Dean. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal. Processing (ICASSP), IEEE, Vancouver, CA (2. On Rectified Linear Units For Speech Processing. M. D. Zeiler, M. Ranzato, R.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
August 2019
Categories |