{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 | 25828* | 2016 |
TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 12320 | 2015 |
Learning transferable architectures for scalable image recognition B Zoph, V Vasudevan, J Shlens, QV Le Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 4188 | 2018 |
In-datacenter performance analysis of a tensor processing unit NP Jouppi, C Young, N Patil, D Patterson, G Agrawal, R Bajwa, S Bates, ... Proceedings of the 44th annual international symposium on computer …, 2017 | 3375 | 2017 |
Searching for mobilenetv3 A Howard, M Sandler, G Chu, LC Chen, B Chen, M Tan, W Wang, Y Zhu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 2085 | 2019 |
Mnasnet: Platform-aware neural architecture search for mobile M Tan, B Chen, R Pang, V Vasudevan, M Sandler, A Howard, QV Le Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1823 | 2019 |
Autoaugment: Learning augmentation strategies from data ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1077 | 2019 |
Autoaugment: Learning augmentation policies from data ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le arXiv preprint arXiv:1805.09501, 2018 | 956 | 2018 |
FAWN: A fast array of wimpy nodes DG Andersen, J Franklin, M Kaminsky, A Phanishayee, L Tan, ... Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles …, 2009 | 743 | 2009 |
Scalability in perception for autonomous driving: Waymo open dataset P Sun, H Kretzschmar, X Dotiwalla, A Chouard, V Patnaik, P Tsui, J Guo, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 666 | 2020 |
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2019 | 614 | 2019 |
Safe and effective fine-grained TCP retransmissions for datacenter communication V Vasudevan, A Phanishayee, H Shah, E Krevat, DG Andersen, ... ACM SIGCOMM computer communication review 39 (4), 303-314, 2009 | 553 | 2009 |
Understanding and simplifying one-shot architecture search G Bender, PJ Kindermans, B Zoph, V Vasudevan, Q Le International Conference on Machine Learning, 550-559, 2018 | 506 | 2018 |
Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems. A Phanishayee, E Krevat, V Vasudevan, DG Andersen, GR Ganger, ... FAST 8, 1-14, 2008 | 354 | 2008 |
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 | 318 | 2015 |
Neural optimizer search with reinforcement learning I Bello, B Zoph, V Vasudevan, QV Le International Conference on Machine Learning, 459-468, 2017 | 279 | 2017 |
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, ... USENIX Association, 265-283, 2016 | 149 | 2016 |
End-to-end multi-view fusion for 3d object detection in lidar point clouds Y Zhou, P Sun, Y Zhang, D Anguelov, J Gao, T Ouyang, J Guo, J Ngiam, ... Conference on Robot Learning, 923-932, 2020 | 143 | 2020 |
On application-level approaches to avoiding TCP throughput collapse in cluster-based storage systems E Krevat, V Vasudevan, A Phanishayee, DG Andersen, GR Ganger, ... Proceedings of the 2nd international workshop on Petascale data storage …, 2007 | 95 | 2007 |
Domain adaptive transfer learning with specialist models J Ngiam, D Peng, V Vasudevan, S Kornblith, QV Le, R Pang arXiv preprint arXiv:1811.07056, 2018 | 82 | 2018 |