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On the Information Plane of Autoencoders

On the Information Plane of Autoencoders

15 May 2020
Nicolás I. Tapia
P. Estévez
ArXivPDFHTML

Papers citing "On the Information Plane of Autoencoders"

6 / 6 papers shown
Title
Accelerating Convolutional Neural Network Pruning via Spatial Aura
  Entropy
Accelerating Convolutional Neural Network Pruning via Spatial Aura Entropy
Bogdan Musat
Razvan Andonie
13
0
0
08 Dec 2023
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes
  Representation Learning
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
Thanh-Dung Le
R. Noumeir
J. Rambaud
Guillaume Sans
P. Jouvet
30
7
0
26 Sep 2022
HRel: Filter Pruning based on High Relevance between Activation Maps and
  Class Labels
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
C. Sarvani
Mrinmoy Ghorai
S. Dubey
S. H. Shabbeer Basha
VLM
32
37
0
22 Feb 2022
Neuroevolution in Deep Learning: The Role of Neutrality
Neuroevolution in Deep Learning: The Role of Neutrality
E. López
16
4
0
16 Feb 2021
On Information Plane Analyses of Neural Network Classifiers -- A Review
On Information Plane Analyses of Neural Network Classifiers -- A Review
Bernhard C. Geiger
24
50
0
21 Mar 2020
Understanding Autoencoders with Information Theoretic Concepts
Understanding Autoencoders with Information Theoretic Concepts
Shujian Yu
José C. Príncipe
AI4CE
46
132
0
30 Mar 2018
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