Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training.
Alfred LaugrosAlice CaplierMatthieu OspiciPublished in: CoRR (2020)
Keyphrases
- neural network
- training algorithm
- training process
- feed forward neural networks
- feedforward neural networks
- multi layer perceptron
- neural network training
- training patterns
- train a neural network
- back propagation
- training set
- neural network structure
- backpropagation algorithm
- learning vector quantization
- multi layer
- neural network model
- fault diagnosis
- neural nets
- recurrent neural networks
- feed forward
- training phase
- training examples
- active learning
- pattern recognition
- recurrent networks
- labeled data for training
- learning rate
- neural network is trained
- adaptive learning rate
- network architecture
- bp neural network
- unsupervised learning
- artificial neural networks
- genetic algorithm
- machine learning