Classifier accuracy versus input noise shows a sharp transition, and the transition width decreases as a power law (exponent about 0.27) with the number of model parameters for EfficientNet-type models.
Huang ,\ https://books.google.de/books?id=8bkBJgAACAAJ title Introduction to Statistical Physics, Second Edition \ ( publisher Taylor & Francis ,\ year 2009 ) NoStop
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Transition of AI Models in dependence of noise
Classifier accuracy versus input noise shows a sharp transition, and the transition width decreases as a power law (exponent about 0.27) with the number of model parameters for EfficientNet-type models.