| 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 …, 2016 | 18234* | 2016 |
| 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 …, 2016 | 12120 | 2016 |
| 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 …, 2016 | 12120 | 2016 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 8426 | 2015 |
| Large scale distributed deep networks J Dean, GS Corrado, R Monga, K Chen, M Devin, QV Le, MZ Mao, ... | 3141 | 2012 |
| Building high-level features using large scale unsupervised learning QV Le 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 2440 | 2013 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 302 | 2015 |
| Multilingual acoustic models using distributed deep neural networks G Heigold, V Vanhoucke, A Senior, P Nguyen, MA Ranzato, M Devin, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 290 | 2013 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2019 | 198 | 2019 |
| Tensorflow: large-scale machine learning on heterogeneous distributed systems (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 172, 2015 | 196 | 2015 |
| Google Brain. TensorFlow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Proceedings of the 12th USENIX Symposium on Operating Systems Design and …, 2016 | 79 | 2016 |
| 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 | 62 | 1984 |
| Multiframe deep neural networks for acoustic modeling V Vanhoucke, M Devin, G Heigold 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 53 | 2013 |
| 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... USENIX Association, 265-283, 2016 | 52 | 2016 |
| 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 | 28 | 2014 |
| LE-LISP version 15.2: le manuel de référence J Chailloux, F Dupont, M Devin INRIA, 1986 | 28 | 1986 |
| Martin Wa enberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.(2015). hp M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... tensor ow. org/So ware available from tensor ow. org, 2015 | 21 | 2015 |
| Generating context-based spell corrections of entity names LJ Brunsman, M Devin, UN Lerner, S Tong US Patent 8,402,032, 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 Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001 | 19 | 2001 |
