| 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 | 17107* | 2016 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 8015 | 2015 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 8015 | 2015 |
| Pytorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Advances in neural information processing systems, 8026-8037, 2019 | 3751 | 2019 |
| 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 | 281 | 2015 |
| Device placement optimization with reinforcement learning A Mirhoseini, H Pham, QV Le, B Steiner, R Larsen, Y Zhou, N Kumar, ... arXiv preprint arXiv:1706.04972, 2017 | 214 | 2017 |
| 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 | 185 | 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 3, 2016 | 185 | 2016 |
| 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 | 90 | 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 | 82 | 2016 |
| Advances in Neural Information Processing Systems 32 A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ... Curran Associates, Inc, 8024-8035, 2019 | 81 | 2019 |
| A hierarchical model for device placement A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean International Conference on Learning Representations, 2018 | 57 | 2018 |
| 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 | 46 | 2016 |
| Learning to optimize halide with tree search and random programs A Adams, K Ma, L Anderson, R Baghdadi, TM Li, M Gharbi, B Steiner, ... ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 41 | 2019 |
| 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 | 28 | 2015 |
| TensorFlow: A System for Large-Scale Machine Learning This paper is included in the Proceedings of the TensorFlow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... Proc 12th USENIX Conference on Operating Systems Design and Implementation …, 2016 | 24 | 2016 |
| Hierarchical planning for device placement A Mirhoseini, A Goldie, H Pham, B Steiner, QV Le, J Dean | 9 | 2018 |
| Optimized matrix multiplication using vector multiplication of interleaved matrix values N Patil, M Sarett, RK Govindaraju, B Steiner, VO Vanhoucke US Patent 9,645,974, 2017 | 7 | 2017 |
| Television receiver with dynamically adjustable filtering M Zahm, E Geiger US Patent 7,136,114, 2006 | 6 | 2006 |
| Hierarchical planning for device placement A Goldie, A Mirhoseini, B Steiner, H Pham, J Dean, QV Le | 3 | 2018 |
