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SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques

SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques

Elad Richardson
Rom Herskovitz
Boris Ginsburg
M. Zibulevsky
ArXiv (abs)PDFHTML

Papers citing "SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques"

6 / 6 papers shown
Title
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
744
37,890
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Deep learning with Elastic Averaging SGD
Deep learning with Elastic Averaging SGD
Sixin Zhang
A. Choromańska
Yann LeCun
FedML
96
611
0
20 Dec 2014
Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions
Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions
M. Zibulevsky
45
5
0
31 Dec 2013
Rich feature hierarchies for accurate object detection and semantic segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,211
0
11 Nov 2013

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