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Gradient target propagation

Gradient target propagation

19 October 2018
T. S. Farias
Jonas Maziero
ArXivPDFHTML

Papers citing "Gradient target propagation"

14 / 14 papers shown
Title
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural
  Networks
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Tobias Hinz
Nicolás Navarro-Guerrero
S. Magg
S. Wermter
56
105
0
19 Jul 2018
Biologically Motivated Algorithms for Propagating Local Target
  Representations
Biologically Motivated Algorithms for Propagating Local Target Representations
Alexander Ororbia
A. Mali
110
88
0
26 May 2018
On the Selection of Initialization and Activation Function for Deep
  Neural Networks
On the Selection of Initialization and Activation Function for Deep Neural Networks
Soufiane Hayou
Arnaud Doucet
Judith Rousseau
ODL
45
76
0
21 May 2018
Conducting Credit Assignment by Aligning Local Representations
Conducting Credit Assignment by Aligning Local Representations
Alexander Ororbia
A. Mali
Daniel Kifer
C. Lee Giles
ODL
68
29
0
05 Mar 2018
Hyperparameters Optimization in Deep Convolutional Neural Network /
  Bayesian Approach with Gaussian Process Prior
Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior
P. Murugan
BDL
40
28
0
19 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
258
8,876
0
25 Aug 2017
On weight initialization in deep neural networks
On weight initialization in deep neural networks
S. Kumar
ODL
72
227
0
28 Apr 2017
Nonlinear Hebbian learning as a unifying principle in receptive field
  formation
Nonlinear Hebbian learning as a unifying principle in receptive field formation
Carlos S. N. Brito
W. Gerstner
38
64
0
04 Jan 2016
A Theory of Local Learning, the Learning Channel, and the Optimality of
  Backpropagation
A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation
Pierre Baldi
Peter Sadowski
46
72
0
22 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
437
43,234
0
11 Feb 2015
Difference Target Propagation
Difference Target Propagation
Dong-Hyun Lee
Saizheng Zhang
Asja Fischer
Yoshua Bengio
AAML
85
348
0
23 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via
  Target Propagation
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation
Yoshua Bengio
95
184
0
29 Jul 2014
Do Deep Nets Really Need to be Deep?
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba
R. Caruana
160
2,117
0
21 Dec 2013
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