Vincent Vanhoucke
Co-Authors
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Andrew
Rabinovich
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Andrew W.
Senior
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Andy
Davis
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Anelia
Angelova
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Benoit Steiner
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Christian Szegedy
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Christopher Olah
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Craig
Citro
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Derek G.
Murray
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Dumitru
Erhan
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Erik
McDermott
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Eugene
Brevdo
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Fernanda
Viegas
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Françoise
Beaufays
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Geoffrey
E. Hinton
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Geoffrey
Irving
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Georg
Heigold
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Greg
Corrado
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Jeffrey Dean
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Jonathon
Shlens
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Josh
Levenberg
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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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Michiel
Bacchiani
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Mike
Schuster
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Navdeep
Jaitly
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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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Pierre
Sermanet
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Quoc V. Le
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Rajat
Monga
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Sanjay
Ghemawat
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Sherry Moore
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Tara N.
Sainath
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Vijay
Vasudevan
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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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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke
ICLR 2016 Workshop (to appear)
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Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, (2016) (to appear)
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Going Deeper with Convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich
Computer Vision and Pattern Recognition (CVPR) (2015)
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Pedestrian Detection with a Large-Field-Of-View Deep Network
Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke
Proceedings of ICRA 2015
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Real-Time Pedestrian Detection With Deep Network Cascades
Anelia Angelova, Alex Krizhevsky, Vincent Vanhoucke, Abhijit Ogale, Dave Ferguson
Proceedings of BMVC 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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Asynchronous Stochastic Optimization for Sequence Training of Deep Neural Networks
Georg Heigold, Erik McDermott, Vincent Vanhoucke, Andrew Senior, Michiel Bacchiani
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Firenze, Italy (2014)
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Multiframe Deep Neural Networks for Acoustic Modeling
Vincent Vanhoucke, Matthieu Devin, Georg Heigold
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, CA (2013)
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Multilingual acoustic models using distributed deep neural networks
Georg Heigold, Vincent Vanhoucke, Andrew Senior, Patrick Nguyen, Marc'aurelio Ranzato, Matthieu Devin, Jeff Dean
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, CA (2013)
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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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Application Of Pretrained Deep Neural Networks To Large Vocabulary Speech Recognition
Navdeep Jaitly, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke
Proceedings of Interspeech 2012
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Deep Neural Networks for Acoustic Modeling in Speech Recognition
Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, Brian Kingsbury
Signal Processing Magazine (2012)
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Georg Heigold, Patrick Nguyen, Mitchel Weintraub, Vincent Vanhoucke
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Kyoto, Japan (2012), pp. 4437-4440
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Improving the speed of neural networks on CPUs
Vincent Vanhoucke, Andrew Senior, Mark Z. Mao
Deep Learning and Unsupervised Feature Learning Workshop, NIPS 2011
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Unsupervised Discovery and Training of Maximally Dissimilar Cluster Models
Francoise Beaufays, Vincent Vanhoucke, Brian Strope
Proc Interspeech (2010)
Previous Publications
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Autoregressive Product of Multi-frame Predictions Can Improve the Accuracy of Hybrid Models
Navdeep Jaitly, Vincent Vanhoucke, Geoffrey Hinton
Proceedings of Interspeech 2014
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Reading Text in Consumer Digital Photographs
Vincent Vanhoucke, S. Burak Gokturk
Proceedings of SPIE DRR XIV (2007)
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Automatic Training Set Segmentation For Multi-Pass Speech Recognition
Mark Z. Mao, Vincent Vanhoucke, Brian Strope
Proceedings of ICASSP 2005
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Confidence Scoring and Rejection using Multi-Pass Speech Recognition
Proceedings of Interspeech 2005
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Design of Compact Acoustic Models through Clustering of Tied-Covariance Gaussians
Mark Z. Mao, Vincent Vanhoucke
Proceedings of ICSLP 2004
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Mixtures of Inverse Covariances
Vincent Vanhoucke, Ananth Sankar
IEEE Transactions on Speech and Audio Processing, vol. 13 (2004), pp. 250-264
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Interpretability in Multidimensional Classification
Vincent Vanhoucke, Rosaria Silipo
Interpretability Issues in Fuzzy Modeling, Springer-Verlag (2003), pp. 193-217
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Mixtures of Inverse Covariances
Vincent Vanhoucke, Ananth Sankar
Proceedings of ICASSP2003, also in Proceedings of NNSP 2003
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Mixtures of Inverse Covariances: Covariance Modeling for Gaussian Mixtures with Applications to Automatic Speech Recognition
Ph.D. Thesis, Stanford University (2003)
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Variable Length Mixtures of Inverse Covariances
Vincent Vanhoucke, Ananth Sankar
Processings of Eurospeech 2003
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Effects of Prompt Style when Navigating through Structured Data
Vincent Vanhoucke, W. Lawrence Neeley, Maria Mortati, Michael J. Sloan, Clifford Nass
Proceedings of INTERACT 2001, Eighth IFIP TC.13 Conference on Human Computer Interaction, pp. 530-536
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Speaker-Trained Recognition using Allophonic Enrollment Models
Vincent Vanhoucke, Michael M. Hochberg, Christopher J. Leggetter
Proceedings of ASRU2001
