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Large Neural Networks Learning from Scratch with Very Few Data and
  without Explicit Regularization

Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization

18 May 2022
C. Linse
T. Martinetz
    SSL
    VLM
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Papers citing "Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization"

3 / 3 papers shown
Title
Enhancing Generalization in Convolutional Neural Networks through
  Regularization with Edge and Line Features
Enhancing Generalization in Convolutional Neural Networks through Regularization with Edge and Line Features
C. Linse
Beatrice Brückner
Thomas Martinetz
24
0
0
22 Oct 2024
Rethinking generalization of classifiers in separable classes scenarios
  and over-parameterized regimes
Rethinking generalization of classifiers in separable classes scenarios and over-parameterized regimes
Julius Martinetz
C. Linse
Thomas Martinetz
28
0
0
22 Oct 2024
Do highly over-parameterized neural networks generalize since bad
  solutions are rare?
Do highly over-parameterized neural networks generalize since bad solutions are rare?
Julius Martinetz
T. Martinetz
30
1
0
07 Nov 2022
1