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| 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, 1223-1231, 2012 | 2743 | 2012 |
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| Building high-level features using large scale unsupervised learning QV Le, MA Ranzato, R Monga, M Devin, K Chen, GS Corrado, J Dean, ... International Conference on Machine Learning, 2012 | 2232 | 2012 |
| Beyond short snippets: Deep networks for video classification J Yue-Hei Ng, M Hausknecht, S Vijayanarasimhan, O Vinyals, R Monga, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1648 | 2015 |
| On rectified linear units for speech processing MD Zeiler, M Ranzato, R Monga, M Mao, K Yang, QV Le, P Nguyen, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 470 | 2013 |
| Revisiting distributed synchronous SGD J Chen, X Pan, R Monga, S Bengio, R Jozefowicz arXiv preprint arXiv:1604.00981, 2016 | 401 | 2016 |
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| 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 3, 2016 | 149 | 2016 |
| Sequence discriminative distributed training of long short-term memory recurrent neural networks H Sak, O Vinyals, G Heigold, A Senior, E McDermott, R Monga, M Mao Fifteenth annual conference of the international speech communication …, 2014 | 136 | 2014 |
| Managing controlled content on a web page having revenue-generating code JE Pitkow, D Diklic, R Monga US Patent App. 12/386,362, 2010 | 112 | 2010 |
| TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. 2015. Software available from tensorflow. org M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2019 | 76 | 2019 |
| 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 | 64 | 2016 |
| Deep networks with large output spaces S Vijayanarasimhan, J Shlens, R Monga, J Yagnik arXiv preprint arXiv:1412.7479, 2014 | 52 | 2014 |
| Tensorflow. js: Machine learning for the web and beyond D Smilkov, N Thorat, Y Assogba, A Yuan, N Kreeger, P Yu, K Zhang, ... arXiv preprint arXiv:1901.05350, 2019 | 39 | 2019 |
| Tensorflow: a system for large-scale machine learning (2016) M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... arXiv preprint arXiv:1605.08695, 2016 | 37 | 2016 |
| Dynamic control flow in large-scale machine learning Y Yu, M Abadi, P Barham, E Brevdo, M Burrows, A Davis, J Dean, ... Proceedings of the Thirteenth EuroSys Conference, 1-15, 2018 | 29 | 2018 |
| i Xiaoqiang Zheng M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... TensorFlow: Large-scale machine learning on heterogeneous systems, 2015 | 25 | 2015 |
| 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 | 23 | 2014 |
Jeff DeanGoogle Senior Fellow & SVP, Google Research and HealthVerified email at google.com
