Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors.
Mehdi Ben AmorJulian StierMichael GranitzerPublished in: CoRR (2021)
Keyphrases
- correlation analysis
- neural network
- regression analysis
- spatial autocorrelation
- correlation coefficient
- high dimensional
- pattern recognition
- cluster analysis
- factor analysis
- genetic algorithm
- heavy tailed
- artificial neural networks
- back propagation
- lower bound
- metadata
- sparse representation
- data sets
- probabilistic model
- regression model
- computer vision
- machine learning