| Large scale distributed deep networks J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, A Senior, ... Advances in neural information processing systems, 1223-1231, 2012 | 612 | 2012 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Software available from tensorflow. org 1, 2015 | 136 | 2015 |
| Multilingual acoustic models using distributed deep neural networks G Heigold, V Vanhoucke, A Senior, P Nguyen, M Ranzato, M Devin, ... 2013 IEEE International Conference on Acoustics, Speech and Signal ..., 2013 | 98 | 2013 |
| LELISP, a portable and efficient LISP system J Chailloux, M Devin, JM Hullot Proceedings of the 1984 ACM Symposium on LISP and functional programming ..., 1984 | 59 | 1984 |
| 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 | 44 | 2016 |
| LE-LISP version 15.2: le manuel de reference J Chailloux, F Dupont, M Devin INRIA, 1986 | 43 | 1986 |
| Multiframe deep neural networks for acoustic modeling V Vanhoucke, M Devin, G Heigold 2013 IEEE International Conference on Acoustics, Speech and Signal ..., 2013 | 21 | 2013 |
| Desiderata for the standardization of LISP J Padget, J Chailloux, T Christaller, R DeMantaras, J Dalton, M Devin, ... Proceedings of the 1986 ACM conference on LISP and functional programming, 54-66, 1986 | 20 | 1986 |
| Application servers (panel session): born-again TP monitors for the Web C Mohan, L Cable, M Devin, S Dietzen, P Helland, D Wolfson ACM SIGMOD Record 30 (2), 622, 2001 | 13 | 2001 |
| Foundation for a C++ programming environment RP Gabriel, N Bourbaki, M Devin, P Dussud, D Gray, H Sexton Proceedings of C++ at Work 90, 1990 | 13 | 1990 |
| Generating context-based spell corrections of entity names LJ Brunsman, M Devin, UN Lerner, S Tong US Patent 8,402,032, 2013 | 8 | 2013 |
| Towards a LISP standard H Stoyan, J Chailloux, T Krumnack, E Neidl, J Padget, G Attardi, ... North-Holland, 1986 | 6 | 1986 |
| Training a model using parameter server shards GS Corrado, K Chen, JA Dean, S Bengio, R Monga, M Devin US Patent 8,768,870, 2014 | 5 | 2014 |
| Extracting patterns from location history A Kirmse, T Udeshi, P Bellver, J Shuma, M Devin US Patent 8,825,383, 2014 | 4 | 2014 |
| LE PORTAGE DU SYSTEME LELLISP MODE D'EMPLOI M Devin | 4 | 1985 |
| Building high-level features using large scale unsupervised learning, arXiv QV Le, R Monga, M Devin, G Corrado, K Chen, M Ranzato, J Dean, ... preprint, 0 | 2 | |
| TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. URL h ttp M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... tensorflow. org/. So ftware available from tensorflow. org, 0 | 2 | |
| TensorFlow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... arXiv preprint arXiv:1605.08695, 2016 | 1 | 2016 |
| La microprogrammation du systeme LELISP: une premiere approche M Devin Institut national de recherche en informatique et en automatique, 1985 | 1 | 1985 |
| Training a model using parameter server shards GS Corrado, K Chen, JA Dean, S Bengio, R Monga, M Devin US Patent 9,412,065, 2016 | | 2016 |