Vincent Vanhoucke

According to our database1, Vincent Vanhoucke authored at least 37 papers between 2001 and 2018.

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Bibliography

2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
CoRR, 2018

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots.
CoRR, 2018

Classification of crystallization outcomes using deep convolutional neural networks.
CoRR, 2018

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Policies Modulating Trajectory Generators.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping.
CoRR, 2017

TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow.
CoRR, 2017

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video.
CoRR, 2017

Learning to co-design.
Proceedings of the Workshop on Trends in Machine-Learning (and impact on computer architecture), 2017

YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.
CoRR, 2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR, 2016

Rethinking the Inception Architecture for Computer Vision.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Rethinking the Inception Architecture for Computer Vision.
CoRR, 2015

Pedestrian detection with a Large-Field-Of-View deep network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Going deeper with convolutions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Real-Time Pedestrian Detection with Deep Network Cascades.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Going Deeper with Convolutions.
CoRR, 2014

Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.
Proceedings of the INTERSPEECH 2014, 2014

Asynchronous stochastic optimization for sequence training of deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
On rectified linear units for speech processing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multiframe deep neural networks for acoustic modeling.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multilingual acoustic models using distributed deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition.
Proceedings of the INTERSPEECH 2012, 2012

Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010
Unsupervised discovery and training of maximally dissimilar cluster models.
Proceedings of the INTERSPEECH 2010, 2010

2007
Reading text in consumer digital photographs.
Proceedings of the Document Recognition and Retrieval XIV, San Jose, California, USA, January 30, 2007

2005
Confidence scoring and rejection using multi-pass speech recognition.
Proceedings of the INTERSPEECH 2005, 2005

Automatic Training Set Segmentation for Multi-pass Speech Recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Mixtures of inverse covariances.
IEEE Trans. Speech and Audio Processing, 2004

Design of compact acoustic models through clustering of tied-covariance Gaussians.
Proceedings of the INTERSPEECH 2004, 2004

2003
Variable length mixtures of inverse covariances.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Mixtures of inverse covariances.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2001
Effects of Prompt Style when Navigating through Structured Data.
Proceedings of the Human-Computer Interaction INTERACT '01: IFIP TC13 International Conference on Human-Computer Interaction, 2001


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