| Tensorflow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 46322* | 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 | 39082 | 2013 |
| MapReduce: simplified data processing on large clusters J Dean, S Ghemawat Communications of the ACM 51 (1), 107-113, 2008 | 35271* | 2008 |
| Efficient estimation of word representations in vector space T Mikolov, K Chen, G Corrado, J Dean arXiv preprint arXiv:1301.3781, 2013 | 35230 | 2013 |
| Distilling the knowledge in a neural network G Hinton, O Vinyals, J Dean arXiv preprint arXiv:1503.02531, 2015 | 14394 | 2015 |
| 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 | 7838 | 2008 |
| 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 | 7171 | 2016 |
| 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 | 4355 | 2017 |
| 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 | 4296 | 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 | 4179* | 1990 |
| Building high-level features using large scale unsupervised learning QV Le 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 2907 | 2013 |
| 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 | 2849 | 2013 |
| 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 | 2604 | 2018 |
| Spanner: Google’s globally distributed database JC Corbett, J Dean, M Epstein, A Fikes, C Frost, JJ Furman, S Ghemawat, ... ACM Transactions on Computer Systems (TOCS) 31 (3), 1-22, 2013 | 2338 | 2013 |
| 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 | 2047 | 2019 |
| MapReduce: a flexible data processing tool J Dean, S Ghemawat Communications of the ACM 53 (1), 72-77, 2010 | 1972 | 2010 |
| Google’s multilingual neural machine translation system: Enabling zero-shot translation M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ... Transactions of the Association for Computational Linguistics 5, 339-351, 2017 | 1957 | 2017 |
| The tail at scale J Dean, LA Barroso Communications of the ACM 56 (2), 74-80, 2013 | 1882 | 2013 |
| Machine learning in medicine A Rajkomar, J Dean, I Kohane New England Journal of Medicine 380 (14), 1347-1358, 2019 | 1808 | 2019 |
| Scalable and accurate deep learning with electronic health records A Rajkomar, E Oren, K Chen, AM Dai, N Hajaj, M Hardt, PJ Liu, X Liu, ... NPJ digital medicine 1 (1), 18, 2018 | 1634 | 2018 |
Sanjay GhemawatGoogleEmail verificata su alum.mit.edu
