M
Mike Schuster
Researcher at Google
Publications - 38
Citations - 34778
Mike Schuster is an academic researcher from Google. The author has contributed to research in topics: Language model & Recurrent neural network. The author has an hindex of 26, co-authored 38 publications receiving 28280 citations. Previous affiliations of Mike Schuster include University of Duisburg & Nippon Telegraph and Telephone.
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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 S. 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 G. Murray,Chris Olah,Mike Schuster,Jonathon Shlens,Benoit Steiner,Ilya Sutskever,Kunal Talwar,Paul A. Tucker,Vincent Vanhoucke,Vijay K. Vasudevan,Fernanda B. Viégas,Oriol Vinyals,Pete Warden,Martin Wattenberg,Martin Wicke,Yuan Yu,Xiaoqiang Zheng +39 more
TL;DR: The TensorFlow interface and an implementation of that interface that is built at Google are described, which has been used for conducting research and for deploying machine learning systems into production across more than a dozen areas of computer science and other fields.
Journal ArticleDOI
Bidirectional recurrent neural networks
Mike Schuster,Kuldip K. Paliwal +1 more
TL;DR: It is shown how the proposed bidirectional structure can be easily modified to allow efficient estimation of the conditional posterior probability of complete symbol sequences without making any explicit assumption about the shape of the distribution.
Posted Content
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu,Mike Schuster,Zhifeng Chen,Quoc V. Le,Mohammad Norouzi,Wolfgang Macherey,Maxim Krikun,Yuan Cao,Qin Gao,Klaus Macherey,Jeff Klingner,Apurva Shah,Melvin Johnson,Xiaobing Liu,Łukasz Kaiser,Stephan Gouws,Yoshikiyo Kato,Taku Kudo,Hideto Kazawa,Keith Stevens,George Kurian,Nishant Patil,Wei Wang,Cliff Young,Jason A. Smith,Jason Riesa,Alex Rudnick,Oriol Vinyals,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +30 more
TL;DR: GNMT, Google's Neural Machine Translation system, is presented, which attempts to address many of the weaknesses of conventional phrase-based translation systems and provides a good balance between the flexibility of "character"-delimited models and the efficiency of "word"-delicited models.
Proceedings ArticleDOI
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
Jonathan Shen,Ruoming Pang,Ron Weiss,Mike Schuster,Navdeep Jaitly,Zongheng Yang,Zhifeng Chen,Yu Zhang,Yuxuan Wang,Rj Skerrv-Ryan,Rif A. Saurous,Yannis Agiomvrgiannakis,Yonghui Wu +12 more
TL;DR: Tacotron 2, a neural network architecture for speech synthesis directly from text that is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed by a modified WaveNet model acting as a vocoder to synthesize time-domain waveforms from those Spectrograms is described.
Journal ArticleDOI
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson,Mike Schuster,Quoc V. Le,Maxim Krikun,Yonghui Wu,Zhifeng Chen,Nikhil Thorat,Fernanda B. Viégas,Martin Wattenberg,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +11 more
TL;DR: This work proposes a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages using a shared wordpiece vocabulary, and introduces an artificial token at the beginning of the input sentence to specify the required target language.