M. Devin

Large Scale Distributed Deep Networks

Marc'Aurelio Ranzato, Quoc V. Le, Andrew Y. Ng, 2012, NIPS.

TensorFlow: A system for large-scale machine learning

Yuan Yu, Zhifeng Chen, Jianmin Chen, 2016, OSDI.

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems pdf

Martín Abadi, Martin Wattenberg, Michael Isard, 2016, ArXiv.

Multilingual acoustic models using distributed deep neural networks

Georg Heigold, Marc'Aurelio Ranzato, Patrick Nguyen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Building high-level features using large scale unsupervised learning

Marc'Aurelio Ranzato, Quoc V. Le, Andrew Y. Ng, 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multiframe deep neural networks for acoustic modeling

Georg Heigold, Vincent Vanhoucke, Matthieu Devin, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

DLVM: A MODERN COMPILER FRAMEWORK FOR NEURAL NETWORK DSLS

Ian J. Goodfellow, Geoffrey Irving, Yangqing Jia, 2017 .

TensorFlow Distributions Joshua

Andy Davis, Geoffrey Irving, Dandelion Mané, 2017 .

ZiMM: a deep learning model for long term adverse events with non-clinical claims data

Ilya, Geoffrey Irving, Dandelion Mané, 2019 .

TensorFlow: A system for large-scale machine learning

Andy Davis, J. Dean, M. Devin, 2016, OSDI.

Neural Guidance for SAT Solving

Andy Davis, Geoffrey Irving, Yangqing Jia, 2018 .