Folgen
Vijay Vasudevan
Vijay Vasudevan
Google, Inc.
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
{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
58532*2016
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
103092019
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
77812018
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
60662017
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
39802019
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
36002023
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
35312020
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
29612019
Autoaugment: Learning augmentation policies from data
ED Cubuk, B Zoph, D Mane, V Vasudevan, QV Le
arXiv preprint arXiv:1805.09501, 2018
21652018
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
16722023
Coca: Contrastive captioners are image-text foundation models
J Yu, Z Wang, V Vasudevan, L Yeung, M Seyedhosseini, Y Wu
arXiv preprint arXiv:2205.01917, 2022
15452022
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 10, 2019
14212019
Scaling autoregressive models for content-rich text-to-image generation
J Yu, Y Xu, JY Koh, T Luong, G Baid, Z Wang, V Vasudevan, A Ku, Y Yang, ...
arXiv preprint arXiv:2206.10789 2 (3), 5, 2022
11722022
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
9152018
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
8082009
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
S Ettinger, S Cheng, B Caine, C Liu, H Zhao, S Pradhan, Y Chai, B Sapp, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
6042021
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
5902009
TensorFlow: Large-scale machine learning on heterogeneous systems
A Martín, A Ashish, B Paul, B Eugene, C Zhifeng, C Craig, SC Greg, ...
Software available from tensorflow. org 7, 2015
5692015
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
5492015
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
5182016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20