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Empirical comparison between autoencoders and traditional dimensionality
  reduction methods

Empirical comparison between autoencoders and traditional dimensionality reduction methods

8 March 2021
Quentin Fournier
Daniel Aloise
    DRL
ArXiv (abs)PDFHTML

Papers citing "Empirical comparison between autoencoders and traditional dimensionality reduction methods"

4 / 4 papers shown
Title
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
285
8,926
0
25 Aug 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
A Tutorial on Principal Component Analysis
A Tutorial on Principal Component Analysis
Jonathon Shlens
98
2,498
0
03 Apr 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
1