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Reducing Redundancy in the Bottleneck Representation of the Autoencoders

Reducing Redundancy in the Bottleneck Representation of the Autoencoders

9 February 2022
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
ArXivPDFHTML

Papers citing "Reducing Redundancy in the Bottleneck Representation of the Autoencoders"

4 / 4 papers shown
Title
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
AI4CE
26
7
0
03 Jan 2023
Efficient CNN with uncorrelated Bag of Features pooling
Efficient CNN with uncorrelated Bag of Features pooling
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
27
2
0
22 Sep 2022
Learning Better Lossless Compression Using Lossy Compression
Learning Better Lossless Compression Using Lossy Compression
Fabian Mentzer
Luc Van Gool
Michael Tschannen
68
69
0
23 Mar 2020
End-to-end optimization of nonlinear transform codes for perceptual
  quality
End-to-end optimization of nonlinear transform codes for perceptual quality
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
70
244
0
18 Jul 2016
1