Vincent Vanhoucke - Concepedia

Author

Vincent Vanhoucke

Google (United States)ORCID

Also Known As

Sindhwani, Vikas, Tan, Liam, Toshev, Alexander, V. Vanhoucke, Vanhoucke, Vincent, Vincent Vanhoucke

Publications

111.9K

Citations

H-Index

106

Concepts

All Affiliations

Google (United States)University of California, Berkeley University of Michigan

About

Vincent Vanhoucke is an author at Google (United States) specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	29	39	108K
2	Health Sciences	8	8	11.7K
3	Language Studies	2	2	636
4	Management	1	1	16
5	Medicine	1	1	85

Vincent Vanhoucke

Publications

110.8K

Citations

H-Index

Page 1

	Year	Citations
Going deeper with convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Image ClassificationDeep Neural NetworksImage AnalysisMachine LearningData Science	2015	46.2K
Rethinking the Inception Architecture for Computer Vision Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Convolutional Neural NetworkEngineeringMachine LearningInception ArchitectureImage Classification	2016	30.2K
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups Geoffrey E. Hinton, Li Deng, Dong Yu, IEEE Signal Processing Magazine EngineeringMachine LearningAcoustic ModelingSpeech RecognitionData Science	2012	10.2K
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martı́n Abadi, Ashish Agarwal, Paul Barham, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAi Foundation	2016	9.7K
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Proceedings of the AAAI Conference on Artificial Intelligence Convolutional Neural NetworkEngineeringMachine LearningAutoencodersResidual Inception Networks	2017	4.5K
Deep Neural Networks for Acoustic Modeling in Speech Recognition Geoffrey E. Hinton, Li Deng, Dong Yu,	2012	1.9K
Going Deeper with Convolutions Christian Szegedy, Wei Liu, Yangqing Jia, arXiv (Cornell University) Image ClassificationDeep Neural NetworksMachine VisionMachine LearningData Science	2014	1.4K
Improving the speed of neural networks on CPUs Vincent Vanhoucke, Andrew Senior, M. Mao	2011	674
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots Jie Tan, Tingnan Zhang, Erwin Coumans, Artificial IntelligenceAgile LocomotionEngineeringField RoboticsIntelligent Robotics	2018	657
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov, Alex Irpan, Peter Pástor, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningDexterous ManipulationLearning Control	2018	574

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