Quantized Sparse Weight Decomposition for Neural Network Compression.
Andrey KuzminMart van BaalenMarkus NagelArash BehboodiPublished in: CoRR (2022)
Keyphrases
- neural network
- tensor decomposition
- sparse data
- data compression
- back propagation
- image compression
- high dimensional
- weight update
- neural network model
- compression algorithm
- learning vector quantization
- compression scheme
- compression ratio
- wavelet compression
- neural network is trained
- self organizing maps
- artificial neural networks
- pattern recognition
- radial basis function
- prediction model
- activation function
- fuzzy artmap
- fuzzy logic
- network architecture
- fault diagnosis
- compressive sensing
- decomposition algorithm
- sparse representation
- feed forward
- wavelet packet
- multiscale