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Measuring Overfitting in Convolutional Neural Networks using Adversarial
  Perturbations and Label Noise

Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise

27 September 2022
Svetlana Pavlitskaya
Joël Oswald
J. Marius Zöllner
    NoLa
    AAML
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Papers citing "Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise"

2 / 2 papers shown
Title
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
1