Rajat Monga
Rajat Monga
Verified email at google.com
Title
Cited by
Cited by
Year
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
28107*2015
Large scale distributed deep networks
J Dean, GS Corrado, R Monga, K Chen, M Devin, QV Le, MZ Mao, ...
32562012
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
25072012
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
20262015
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
5372013
Revisiting distributed synchronous SGD
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 2016
4862016
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
3252015
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 172, 2015
2182015
Managing controlled content on a web page having revenue-generating code
JE Pitkow, D Diklic, R Monga
US Patent App. 12/386,362, 2010
1602010
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
1442014
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
872016
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
692019
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
602016
Deep networks with large output spaces
S Vijayanarasimhan, J Shlens, R Monga, J Yagnik
arXiv preprint arXiv:1412.7479, 2014
582014
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, 1-15, 2018
432018
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
392019
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
302014
Revisiting distributed synchronous sgd
X Pan, J Chen, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1702.05800, 2017
182017
SysML: The New Frontier of Machine Learning Systems.
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
162019
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
132015
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