LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks.
Enzo TartaglioneAndrea BragagnoloAttilio FiandrottiMarco GrangettoPublished in: Neural Networks (2022)
Keyphrases
- sparse learning
- elastic net
- sparsity inducing
- neural network
- sparse representation
- regularization parameter
- pattern recognition
- genetic algorithm
- sparse coding
- sensitivity analysis
- artificial neural networks
- activation function
- neural network model
- fuzzy systems
- recurrent neural networks
- high sensitivity
- neural nets
- multi layer
- feed forward
- fuzzy logic
- compressive sensing
- hopfield neural network
- self organizing maps
- sparsity regularization
- multilayer perceptron
- training process
- prior information
- parameter selection
- back propagation
- structured sparsity
- high dimensional
- square loss