| {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 (OSDI …, 2016 | 31333 | 2016 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 24413* | 2015 |
| Large-scale evolution of image classifiers E Real, S Moore, A Selle, S Saxena, YL Suematsu, J Tan, QV Le, ... International conference on machine learning, 2902-2911, 2017 | 1898 | 2017 |
| 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 | 838 | 2015 |
| 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 | 473 | 2016 |
| TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, G Corrado, ... URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015 | 335 | 2015 |
| 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 | 281 | 2019 |
| 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 | 279 | 2016 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR abs/1603.04467 (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 216 | 2016 |
| TensorFlow: Large-scale machine learning on heterogeneous systems. arXiv M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2015 | 119 | 2015 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 82 | 2023 |
| TensorFlow: A system for large-scale machine learning. arXiv 2016 M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... arXiv preprint arXiv:1605.08695, 0 | 56 | |
| 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 | 55 | 2015 |
| Performance evaluation of switch-based wormhole networks LM Ni, Y Gui, S Moore IEEE Transactions on Parallel and Distributed Systems 8 (5), 462-474, 1997 | 54 | 1997 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv: 160304467 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Cornell University, 2016 | 51 | 2016 |
| The effects of network contention on processor allocation strategies SQ Moore, LM Ni Proceedings of International Conference on Parallel Processing, 268-273, 1996 | 51 | 1996 |
| Method and system for memory management DP Johnson, EC Saxe, SQ Moore US Patent 7,882,319, 2011 | 23 | 2011 |
| 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 | 19 | 2015 |
| Dynamic interleaving EC Saxe, SQ Moore, DP Johnson US Patent 7,979,648, 2011 | 18 | 2011 |
| TensorFlow: a system for large-scale machine learning. USENIX symposium on operating systems design and implementation 16: 265–283 M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... arXiv preprint arXiv:1605.08695, 2016 | 12 | 2016 |
