Rajat Monga

Co-Authors
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Andrew Harp
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Andrew W. Senior
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Andy Davis
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Benoit Steiner
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Christopher Olah
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Craig Citro
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Derek G. Murray
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Erik McDermott
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Eugene Brevdo
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Fernanda Viegas
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Geoffrey E. Hinton
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Geoffrey Irving
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Georg Heigold
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George Toderici
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Greg Corrado
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Hasim Sak
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Ian Goodfellow
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Jay Yagnik
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Jeffrey Dean
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Jianmin Chen
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Jonathon Shlens
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Josh Levenberg
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Kai Chen
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Ke Yang
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Kunal Talwar
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Lukasz Kaiser
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Manjunath Kudlur
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Martin Wattenberg
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Martin Wicke
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Martín Abadi
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Matthieu Devin
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Michael Isard
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Mike Schuster
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Oriol Vinyals
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Paul A. Tucker
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Paul Barham
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Pete Warden
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Quoc V. Le
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Samy Bengio
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Sanjay Ghemawat
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Sherry Moore
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Sudheendra Vijayanarasimhan
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Vijay Vasudevan
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Vincent Vanhoucke
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Xiaoqiang Zheng
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Yangqing Jia
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Yuan Yu
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Zhifeng Chen
Google Publications
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Revisiting Distributed Synchronous SGD
Jianmin Chen, Rajat Monga, Samy Bengio, Rafal Jozefowicz
International Conference on Learning Representations Workshop Track (2016)
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TensorFlow: A system for large-scale machine learning
Martin Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), USENIX Association (2016), pp. 265-283
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Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici
Computer Vision and Pattern Recognition (2015)
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Deep Networks With Large Output Spaces
Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik
International Conference on Learning Representations (2015)
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
tensorflow.org (2015)
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Sequence Discriminative Distributed Training of Long Short-Term Memory Recurrent Neural Networks
Hasim Sak, Oriol Vinyals, Georg Heigold, Andrew Senior, Erik McDermott, Rajat Monga, Mark Mao
Interspeech (2014)
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On Rectified Linear Units For Speech Processing
M.D. Zeiler, M. Ranzato, R. Monga, M. Mao, K. Yang, Q.V. Le, P. Nguyen, A. Senior, V. Vanhoucke, J. Dean, G.E. Hinton
38th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver (2013)
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Building high-level features using large scale unsupervised learning
Quoc Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, Andrew Ng
International Conference in Machine Learning (2012)
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Large Scale Distributed Deep Networks
Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc’Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Y. Ng
NIPS (2012)