Vincent Vanhoucke

发表

Effects of Prompt Style when Navigating through Structured Data

Clifford Nass, Michael Sloan, Vincent Vanhoucke, 2001, INTERACT.

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots pdf

Atil Iscen, Steven Bohez, Jie Tan, 2018, Robotics: Science and Systems.

X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions pdf

Ken Goldberg, Anelia Angelova, Michael Danielczuk, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Unsupervised discovery and training of maximally dissimilar cluster models

Vincent Vanhoucke, Françoise Beaufays, Brian Strope, 2010, INTERSPEECH.

Automatic training set segmentation for multi-pass speech recognition

Vincent Vanhoucke, Brian Strope, Mark Z. Mao, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Pedestrian detection with a Large-Field-Of-View deep network

Anelia Angelova, Vincent Vanhoucke, Alex Krizhevsky, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

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

Xin Pan, Jonathon Shlens, Stefano Mazzocchi, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow pdf

James Davidson, Danijar Hafner, Vincent Vanhoucke, 2017, ArXiv.

Mixtures of inverse covariances

Ananth Sankar, Vincent Vanhoucke, Vincent Vanhoucke, 2003, IEEE Transactions on Speech and Audio Processing.

Rethinking the Inception Architecture for Computer Vision

Sergey Ioffe, Christian Szegedy, Vincent Vanhoucke, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The shared views of four research groups )

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Learning to co-design

Vincent Vanhoucke, Vincent Vanhoucke, 2017, TiML '17.

Improving the speed of neural networks on CPUs

Vincent Vanhoucke, Andrew W. Senior, Mark Z. Mao, 2011 .

Going deeper with convolutions

Dumitru Erhan, Dragomir Anguelov, Pierre Sermanet, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Mixtures of inverse covariances

Ananth Sankar, Vincent Vanhoucke, 2004, IEEE Trans. Speech Audio Process..

Interpretability in Multidimensional Classification

Vincent Vanhoucke, Rosaria Silipo, Vincent Vanhoucke, 2003 .

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

Sergey Levine, Vincent Vanhoucke, Eric Jang, 2018, CoRL.

FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

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

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

Policies Modulating Trajectory Generators pdf

Atil Iscen, Vikas Sindhwani, Jie Tan, 2018, CoRL.

Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models

Geoffrey E. Hinton, Navdeep Jaitly, Vincent Vanhoucke, 2014, INTERSPEECH.

On rectified linear units for speech processing

Geoffrey E. Hinton, Marc'Aurelio Ranzato, Quoc V. Le, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation pdf

Sergey Levine, Alexander Herzog, Mrinal Kalakrishnan, 2018, CoRL.

Multiframe deep neural networks for acoustic modeling

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

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Reading text in consumer digital photographs

Vincent Vanhoucke, Burak Gokturk, 2007, Electronic Imaging.

Mechanical Search on Shelves using Lateral Access X-RAY pdf

Ken Goldberg, Jeffrey Ichnowski, Vishal Satish, 2020, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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.

Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition

Navdeep Jaitly, Patrick Nguyen, Vincent Vanhoucke, 2012, INTERSPEECH.

Confidence scoring and rejection using multi-pass speech recognition

Vincent Vanhoucke, 2005, INTERSPEECH.

Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Classification of crystallization outcomes using deep convolutional neural networks

Janet Newman, Julie Wilson, Vincent Vanhoucke, 2018, PloS one.

Design of compact acoustic models through clustering of tied-covariance Gaussians

Vincent Vanhoucke, Mark Z. Mao, 2004, INTERSPEECH.

Real-Time Pedestrian Detection with Deep Network Cascades

Anelia Angelova, Vincent Vanhoucke, Dave Ferguson, 2015, BMVC.

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning pdf

Sergey Ioffe, Christian Szegedy, Alex Alemi, 2016, AAAI.

Variable length mixtures of inverse covariances

Ananth Sankar, Vincent Vanhoucke, 2003, INTERSPEECH.

Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data

Mitch Weintraub, Georg Heigold, Patrick Nguyen, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Application of Pretrained Deep Neural Networks to Large Vocabulary Conversational Speech Recognition

Navdeep Jaitly, Patrick Nguyen, Vincent Vanhoucke, 2012 .

Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

Sergey Levine, Kurt Konolige, Mrinal Kalakrishnan, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).