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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 | 3148 | 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 | 3120 | 2015 |
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| 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 | 272 | 2016 |
| 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 | 231 | 2019 |
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| 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 | 173 | 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 | 159 | 2016 |
| TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning A Agrawal, AN Modi, A Passos, A Lavoie, A Agarwal, A Shankar, ... arXiv preprint arXiv:1903.01855, 2019 | 98 | 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 | 93 | 2018 |
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| 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 | 61 | 2016 |
Jeff DeanGoogle Chief Scientist, Google Research and Google DeepMindEmail verificata su google.com