Timezone: »
Author Information
Gregory Diamos (Baidu SVAIL)
Jeff Dean (Google Research and Machine Intelligence)
Jeff joined Google in 1999 and is currently a Google Senior Fellow. He currently leads Google's Research and Health divisions, where he co-founded the Google Brain team. He has co-designed/implemented multiple generations of Google's distributed machine learning systems for neural network training and inference, as well as multiple generations of Google's crawling, indexing, and query serving systems, and major pieces of Google's initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of Google's distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, LevelDB, systems infrastructure for statistical machine translation, and a variety of internal and external libraries and developer tools. He received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on compiler techniques for object-oriented languages. He is a Fellow of the ACM, a Fellow of the AAAS, a member of the U.S. National Academy of Engineering, and a recipient of the Mark Weiser Award and the ACM Prize in Computing.
Simon Knowles (Graphcore)
Michael James (Cerebras)
Scott Gray (OpenAI)
More from the Same Authors
-
2022 : Jeff Dean - Invited Talk »
Jeff Dean -
2020 Poster: Language Models are Few-Shot Learners »
Tom B Brown · Benjamin Mann · Nick Ryder · Melanie Subbiah · Jared Kaplan · Prafulla Dhariwal · Arvind Neelakantan · Pranav Shyam · Girish Sastry · Amanda Askell · Sandhini Agarwal · Ariel Herbert-Voss · Gretchen M Krueger · Tom Henighan · Rewon Child · Aditya Ramesh · Daniel Ziegler · Jeffrey Wu · Clemens Winter · Chris Hesse · Mark Chen · Eric Sigler · Mateusz Litwin · Scott Gray · Benjamin Chess · Jack Clark · Christopher Berner · Sam McCandlish · Alec Radford · Ilya Sutskever · Dario Amodei -
2020 Oral: Language Models are Few-Shot Learners »
Tom B Brown · Benjamin Mann · Nick Ryder · Melanie Subbiah · Jared Kaplan · Prafulla Dhariwal · Arvind Neelakantan · Pranav Shyam · Girish Sastry · Amanda Askell · Sandhini Agarwal · Ariel Herbert-Voss · Gretchen M Krueger · Tom Henighan · Rewon Child · Aditya Ramesh · Daniel Ziegler · Jeffrey Wu · Clemens Winter · Chris Hesse · Mark Chen · Eric Sigler · Mateusz Litwin · Scott Gray · Benjamin Chess · Jack Clark · Christopher Berner · Sam McCandlish · Alec Radford · Ilya Sutskever · Dario Amodei -
2019 : Invited Speaker: Jeff Dean »
Jeff Dean -
2019 : Climate Change: A Grand Challenge for ML »
Yoshua Bengio · Carla Gomes · Andrew Ng · Jeff Dean · Lester Mackey -
2019 : Jeff Dean (Google AI) »
Jeff Dean -
2019 Poster: Online Normalization for Training Neural Networks »
Vitaliy Chiley · Ilya Sharapov · Atli Kosson · Urs Koster · Ryan Reece · Sofia Samaniego de la Fuente · Vishal Subbiah · Michael James -
2017 : Designing for Supercompute-Scale Deep Learning »
Michael James -
2017 : Scalable Silicon Compute »
Simon Knowles -
2017 : Small World Network Architectures »
Scott Gray -
2017 : Scaling and Sparsity »
Gregory Diamos -
2017 : Invited Talk: Machine Learning for Systems and Systems for Machine Learning, Jeff Dean, Google Brain »
Jeff Dean -
2017 Poster: Deep Voice 2: Multi-Speaker Neural Text-to-Speech »
Andrew Gibiansky · Sercan Arik · Gregory Diamos · John Miller · Kainan Peng · Wei Ping · Jonathan Raiman · Yanqi Zhou -
2017 Spotlight: Deep Voice 2: Multi-Speaker Neural Text-to-Speech »
Andrew Gibiansky · Sercan Arik · Gregory Diamos · John Miller · Kainan Peng · Wei Ping · Jonathan Raiman · Yanqi Zhou -
2016 : Invited Talk: Scaling Machine Learning Using TensorFlow (Jeff Dean, Google Brain) »
Jeff Dean -
2016 : Jeff Dean – TensorFlow: Future Directions for Simplifying Large-Scale Machine Learning »
Jeff Dean -
2015 : TensorFlow: A system for machine learning on heterogeneous systems »
Jeff Dean -
2015 Tutorial: Large-Scale Distributed Systems for Training Neural Networks »
Jeff Dean · Oriol Vinyals -
2013 Poster: DeViSE: A Deep Visual-Semantic Embedding Model »
Andrea Frome · Greg Corrado · Jonathon Shlens · Samy Bengio · Jeff Dean · Marc'Aurelio Ranzato · Tomas Mikolov -
2013 Poster: Distributed Representations of Words and Phrases and their Compositionality »
Tomas Mikolov · Ilya Sutskever · Kai Chen · Greg Corrado · Jeff Dean -
2012 Poster: Large Scale Distributed Deep Networks »
Jeff Dean · Greg Corrado · Rajat Monga · Kai Chen · Matthieu Devin · Quoc V Le · Mark Mao · Marc'Aurelio Ranzato · Andrew Senior · Paul Tucker · Ke Yang · Andrew Y Ng