MultiQuant: Training Once for Multi-bit Quantization of Neural Networks.
Ke XuQiantai FengXingyi ZhangDong WangPublished in: IJCAI (2022)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- multi layer perceptron
- uniform quantization
- feedforward neural networks
- neural network training
- backpropagation algorithm
- pattern recognition
- back propagation
- training patterns
- training examples
- training set
- artificial neural networks
- fuzzy logic
- error back propagation
- training phase
- active learning
- adaptive quantization
- neural nets
- online learning
- neural network model
- data sets
- fuzzy systems
- supervised learning
- neural network structure
- sufficient conditions
- quantization scheme
- fault diagnosis
- recurrent networks
- multilayer perceptron
- genetic algorithm
- activation function
- support vector
- recurrent neural networks
- multi layer