Exact Spectral Norm Regularization for Neural Networks.
Anton JohanssonClaes StrannegårdNiklas EngsnerPetter MostadPublished in: CoRR (2022)
Keyphrases
- neural network
- norm regularization
- convex optimization
- canonical correlation analysis
- regularization methods
- matrix completion
- sparse representation
- total variation
- group lasso
- pattern recognition
- loss function
- low rank
- regression model
- multiple kernel learning
- max margin
- image processing
- feature selection
- signal processing
- multi class
- inverse problems
- learning algorithm