Jeff Dean

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Sanjay GhemawatGoogleEmail confirmado em alum.mit.edu
Kai ChenGoogle Inc.Email confirmado em google.com
Greg CorradoGoogle ResearchEmail confirmado em google.com
Tomas MikolovSenior Researcher, CIIRC CTUEmail confirmado em cvut.cz
Quoc V. LeResearch Scientist, GoogleEmail confirmado em stanford.edu
Paul BarhamGoogle DeepMindEmail confirmado em acm.org
Zhifeng ChenGoogle Inc.Email confirmado em google.com
Michael IsardResearch Scientist, GoogleEmail confirmado em google.com
Martin AbadiResearch Scientist, Google, and Professor Emeritus, UC Santa CruzEmail confirmado em cs.ucsc.edu
Rajat MongaMicrosoftEmail confirmado em microsoft.com
Benoit SteinerFAIREmail confirmado em fb.com
Geoffrey IrvingUK AI Security Institute (AISI)Email confirmado em naml.us
jianmin chenUniversity of FloridaEmail confirmado em cise.ufl.edu
Oriol VinyalsResearch Scientist at Google DeepMindEmail confirmado em google.com
Vijay VasudevanGoogle, Inc.Email confirmado em google.com
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoEmail confirmado em cs.toronto.edu
Monika HenzingerProfessor of Computer Science, Institute of Science and Technology Austria (ISTA)Email confirmado em ist.ac.at
Azalia MirhoseiniAssistant Professor of Computer Science, Stanford - Google DeepMindEmail confirmado em stanford.edu
Manjunath KudlurCTO, Co-founder, Useful SensorsEmail confirmado em umich.edu
Ilya SutskeverCo-Founder and Chief Scientist at Safe Superintelligence IncEmail confirmado em ssi.inc

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Jeff Dean

Google Chief Scientist, Google Research and Google DeepMind

Email confirmado em google.com - Página inicial

Distributed systems Artificial Intelligence machine learning compilers computer architecture


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
{TensorFlow}: a system for {Large-Scale} machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016	58738*	2016
Distributed representations of words and phrases and their compositionality T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean Advances in neural information processing systems 26, 2013	46787	2013
Efficient estimation of word representations in vector space T Mikolov, K Chen, G Corrado, J Dean arXiv preprint arXiv:1301.3781, 2013	46273	2013
MapReduce: simplified data processing on large clusters J Dean, S Ghemawat Communications of the ACM 51 (1), 107-113, 2008	37064*	2008
Distilling the knowledge in a neural network G Hinton, O Vinyals, J Dean arXiv preprint arXiv:1503.02531, 2015	23873	2015
Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016	9425	2016
Bigtable: A distributed storage system for structured data F Chang, J Dean, S Ghemawat, WC Hsieh, DA Wallach, M Burrows, ... ACM Transactions on Computer Systems (TOCS) 26 (2), 1-26, 2008	8362	2008
In-datacenter performance analysis of a tensor processing unit NP Jouppi, C Young, N Patil, D Patterson, G Agrawal, R Bajwa, S Bates, ... Proceedings of the 44th annual international symposium on computer …, 2017	6023	2017
Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023	5804	2023
Large scale distributed deep networks J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, M Ranzato, ... Advances in neural information processing systems 25, 2012	5100	2012
Epi Info-version 5: a word processing, databasem and statistics systems for epidemiology on microcomputers AG Dean, JA Dean, AH Burton, RC Dicker Free software, 1990	4700*	1990
A guide to deep learning in healthcare A Esteva, A Robicquet, B Ramsundar, V Kuleshov, M DePristo, K Chou, ... Nature medicine 25 (1), 24-29, 2019	3872	2019
Efficient neural architecture search via parameters sharing H Pham, M Guan, B Zoph, Q Le, J Dean International conference on machine learning, 4095-4104, 2018	3534	2018
Emergent abilities of large language models J Wei, Y Tay, R Bommasani, C Raffel, B Zoph, S Borgeaud, D Yogatama, ... arXiv preprint arXiv:2206.07682, 2022	3479*	2022
Devise: A deep visual-semantic embedding model A Frome, GS Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, ... Advances in neural information processing systems 26, 2013	3472	2013
Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024	3466	2024
Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023	3405	2023
Machine learning in medicine A Rajkomar, J Dean, I Kohane New England Journal of Medicine 380 (14), 1347-1358, 2019	3353	2019
Building high-level features using large scale unsupervised learning QV Le 2013 IEEE international conference on acoustics, speech and signal …, 2013	3194	2013
Outrageously large neural networks: The sparsely-gated mixture-of-experts layer N Shazeer, A Mirhoseini, K Maziarz, A Davis, Q Le, G Hinton, J Dean arXiv preprint arXiv:1701.06538, 2017	2775	2017

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