Rajat Monga
Rajat Monga
Verified email at google.com
TitleCited byYear
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Software available from tensorflow.org, 2015
13990*2015
Large scale distributed deep networks
J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, M Ranzato, ...
Advances in neural information processing systems, 1223-1231, 2012
21552012
Large scale distributed deep networks
J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, M Ranzato, ...
Advances in neural information processing systems, 1223-1231, 2012
21552012
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
19612012
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
12512015
On rectified linear units for speech processing
MD Zeiler, M Ranzato, R Monga, M Mao, K Yang, QV Le, P Nguyen, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
3922013
Revisiting distributed synchronous SGD
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 2016
2812016
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
Fifteenth annual conference of the international speech communication …, 2014
1242014
Managing controlled content on a web page having revenue-generating code
JE Pitkow, D Diklic, R Monga
US Patent App. 12/386,362, 2010
892010
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
532019
Deep networks with large output spaces
S Vijayanarasimhan, J Shlens, R Monga, J Yagnik
arXiv preprint arXiv:1412.7479, 2014
442014
Training a model using parameter server shards
GS Corrado, K Chen, JA Dean, S Bengio, R Monga, M Devin
US Patent 8,768,870, 2014
182014
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, 18, 2018
172018
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
122019
Martin Wa enberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Tensor ow: Large-scale machine learning on heterogeneous distributed systems …, 2016
122016
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
112015
SysML: The New Frontier of Machine Learning Systems
A Ratner, D Alistarh, G Alonso, P Bailis, S Bird, N Carlini, B Catanzaro, ...
arXiv preprint arXiv:1904.03257, 2019
42019
Training a model using parameter server shards
GS Corrado, K Chen, JA Dean, S Bengio, R Monga, M Devin
US Patent 9,218,573, 2015
42015
Distribution of parameter calculation for iterative optimization methods
R Monga, X Wu, AYT Ng
US Patent 9,015,083, 2015
42015
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
22019
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