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Neural Networks Regularization Through Class-wise Invariant
  Representation Learning
v1v2v3v4 (latest)

Neural Networks Regularization Through Class-wise Invariant Representation Learning

6 September 2017
Soufiane Belharbi
Clément Chatelain
Romain Hérault
Sébastien Adam
    OOD
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "Neural Networks Regularization Through Class-wise Invariant Representation Learning"

5 / 5 papers shown
Data augmentation and image understanding
Data augmentation and image understanding
Alex Hernandez-Garcia
161
6
0
28 Dec 2020
Topologically Densified Distributions
Topologically Densified DistributionsInternational Conference on Machine Learning (ICML), 2020
Christoph Hofer
Florian Graf
Marc Niethammer
Roland Kwitt
186
15
0
12 Feb 2020
Min-max Entropy for Weakly Supervised Pointwise Localization
Min-max Entropy for Weakly Supervised Pointwise Localization
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
230
0
0
25 Jul 2019
Neural Networks Regularization Through Representation Learning
Neural Networks Regularization Through Representation Learning
Soufiane Belharbi
OODSSL
134
2
0
13 Jul 2018
Learning Representations for Neural Network-Based Classification Using
  the Information Bottleneck Principle
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck PrincipleIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
Rana Ali Amjad
Bernhard C. Geiger
487
208
0
27 Feb 2018
1
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