LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks.
Enzo TartaglioneAndrea BragagnoloAttilio FiandrottiMarco GrangettoPublished in: CoRR (2020)
Keyphrases
- neural network
- sparsity regularization
- mixed norm
- structured sparsity
- elastic net
- rank minimization
- sparse data
- sparse approximation
- artificial neural networks
- sensitivity analysis
- genetic algorithm
- back propagation
- high sensitivity
- sparse representation
- pattern recognition
- sparsity inducing
- group lasso
- square loss
- regularization parameter
- fuzzy systems
- recurrent neural networks
- multilayer perceptron
- feed forward
- neural network model
- multi layer
- variable selection
- neural nets
- prior information
- general loss functions
- regularization methods
- compressed sensing
- canonical correlation analysis
- parameter selection
- data dependent
- activation function
- regularization term
- self organizing maps
- linear combination