Towards a New Understanding of the Training of Neural Networks with Mislabeled Training Data.
Herbert GishJan SilovskýMan-Ling SungMan-Hung SiuWilliam HartmannZhuolin JiangPublished in: ICASSP (2020)
Keyphrases
- training process
- training data
- neural network
- training set
- training algorithm
- training patterns
- training dataset
- test set
- training examples
- training samples
- supervised learning
- neural network structure
- feedforward neural networks
- labelled data
- learning algorithm
- data sets
- fuzzy systems
- recurrent networks
- feed forward neural networks
- multi layer perceptron
- training phase
- backpropagation algorithm
- training and testing data
- support vector machine
- genetic algorithm
- artificial neural networks
- domain knowledge
- back propagation
- neural network training
- classification accuracy
- training corpus
- noisy data
- decision trees
- pattern recognition
- feed forward
- active learning
- recurrent neural networks
- training and test data
- multi layer
- data points
- test data
- small number
- online learning
- labeled data
- naive bayes
- associative memory