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Mike Schuster
Mike Schuster
Two Sigma
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Cited by
Cited by
Year
{TensorFlow}: A System for {Large-Scale} Machine Learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th USENIX symposium on operating systems design and implementation (OSDI …, 2016
25795*2016
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
123402015
Bidirectional recurrent neural networks
M Schuster, KK Paliwal
IEEE transactions on Signal Processing 45 (11), 2673-2681, 1997
68631997
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
56602016
Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
J Shen, R Pang, RJ Weiss, M Schuster, N Jaitly, Z Yang, Z Chen, Y Zhang, ...
2018 IEEE international conference on acoustics, speech and signal …, 2018
16372018
Google’s multilingual neural machine translation system: Enabling zero-shot translation
M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ...
Transactions of the Association for Computational Linguistics 5, 339-351, 2017
15822017
Google’s multilingual neural machine translation system: Enabling zero-shot translation
M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ...
Transactions of the Association for Computational Linguistics 5, 339-351, 2017
15822017
Exploring the limits of language modeling
R Jozefowicz, O Vinyals, M Schuster, N Shazeer, Y Wu
arXiv preprint arXiv:1602.02410, 2016
10882016
One billion word benchmark for measuring progress in statistical language modeling
C Chelba, T Mikolov, M Schuster, Q Ge, T Brants, P Koehn, T Robinson
arXiv preprint arXiv:1312.3005, 2013
10032013
Statistical parametric speech synthesis using deep neural networks
H Ze, A Senior, M Schuster
2013 ieee international conference on acoustics, speech and signal …, 2013
9642013
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2019
6142019
Japanese and korean voice search
M Schuster, K Nakajima
2012 IEEE international conference on acoustics, speech and signal …, 2012
5712012
The best of both worlds: Combining recent advances in neural machine translation
MX Chen, O Firat, A Bapna, M Johnson, W Macherey, G Foster, L Jones, ...
arXiv preprint arXiv:1804.09849, 2018
3732018
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 52, 2015
3162015
Deep learning for acoustic modeling in parametric speech generation: A systematic review of existing techniques and future trends
ZH Ling, SY Kang, H Zen, A Senior, M Schuster, XJ Qian, HM Meng, ...
IEEE Signal Processing Magazine 32 (3), 35-52, 2015
2502015
Reward augmented maximum likelihood for neural structured prediction
M Norouzi, S Bengio, N Jaitly, M Schuster, Y Wu, D Schuurmans
Advances In Neural Information Processing Systems 29, 2016
1902016
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
1352019
Speech recognition for mobile devices at Google
M Schuster
Pacific Rim International Conference on Artificial Intelligence, 8-10, 2010
922010
ukasz Kaiser
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens …, 2016
832016
Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144 (2016)
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
732016
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