Name
Affiliation
Papers
VINCENT VANHOUCKE
Speech R&D Grp, Nuance Commun, Menlo Pk, CA 94025 USA
28
Collaborators
Citations 
PageRank 
111
4735
213.63
Referers 
Referees 
References 
14591
688
258
Search Limit
1001000
Title
Citations
PageRank
Year
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items00.342022
Mechanical Search on Shelves using Lateral Access X-RAY00.342021
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization00.342020
X-Ray: Mechanical Search for an Occluded Object by Minimizing Support of Learned Occupancy Distributions00.342020
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping.50.412018
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.00.342018
Classification Of Crystallization Outcomes Using Deep Convolutional Neural Networks20.542018
Policies Modulating Trajectory Generators.00.342018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.250.712018
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning.52514.622017
Learning to co-design.00.342017
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow.70.732017
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.74329.702016
Rethinking The Inception Architecture For Computer Vision124340.742015
Real-Time Pedestrian Detection with Deep Network Cascades.370.942015
Asynchronous stochastic optimization for sequence training of deep neural networks262.252014
Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.00.342014
Multilingual acoustic models using distributed deep neural networks744.312013
Multiframe deep neural networks for acoustic modeling180.812013
Exemplar-based speech recognition in a rescoring approach.00.342012
Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data50.452012
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups2005111.422012
Automatic Training Set Segmentation For Multi-Pass Speech Recognition10.392005
Confidence scoring and rejection using multi-pass speech recognition00.342005
Design of compact acoustic models through clustering of tied-covariance Gaussians10.412004
Variable length mixtures of inverse covariances00.342003
Mixtures of inverse covariances140.852003
Effects Of Prompt Style When Navigating Through Structured Data40.632001