| 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, 2015 | 57332* | 2015 |
| 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 | 4966 | 2012 |
| 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 | 3130 | 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 | 3096 | 2015 |
| Revisiting distributed synchronous SGD J Chen, X Pan, R Monga, S Bengio, R Jozefowicz arXiv preprint arXiv:1604.00981, 2016 | 945 | 2016 |
| 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 | 758 | 2013 |
| Tensorflow: A system for large-scale machine learning A Martín, B Paul, C Jianmin, C Zhifeng, D Andy, D Jeffrey, D Matthieu, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016 | 539 | 2016 |
| 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 52, 2015 | 522 | 2015 |
| Managing controlled content on a web page having revenue-generating code JE Pitkow, D Diklic, R Monga US Patent App. 12/386,362, 2010 | 306 | 2010 |
| 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, ... Savannah, GA, 265-283, 2016 | 269 | 2016 |
| Tensorflow. js: Machine learning for the web and beyond D Smilkov, N Thorat, Y Assogba, C Nicholson, N Kreeger, P Yu, S Cai, ... Proceedings of Machine Learning and Systems 1, 309-321, 2019 | 228 | 2019 |
| Advances in neural information processing systems J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, A Senior, ... Large Scale Distributed Deep Networks; Association for Computing Machinery …, 2012 | 228 | 2012 |
| 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 entropy 15 (16), 17-18, 2014 | 172 | 2014 |
| TensorFlow: Large-scale machine learning on heterogeneous systems. arXiv 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 156 | 2016 |
| TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning A Agrawal, A Modi, A Passos, A Lavoie, A Agarwal, A Shankar, I Ganichev, ... Proceedings of Machine Learning and Systems 1, 178-189, 2019 | 97 | 2019 |
| 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 | 91 | 2018 |
| TensorFlow M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Large-scale machine learning on heterogeneous systems 11, 2015 | 79 | 2015 |
| & Zheng M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... X.: Tensorflow: Large-scale machine learning on heterogeneous distributed …, 2016 | 77 | 2016 |
| Deep networks with large output spaces S Vijayanarasimhan, J Shlens, R Monga, J Yagnik arXiv preprint arXiv:1412.7479, 2014 | 74 | 2014 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, A Davis, ... arXiv preprint arXiv:1603.04467, 2016 | 60 | 2016 |
Jeff DeanGoogle Chief Scientist, Google Research and Google DeepMindVerified email at google.com
