Training Deep Neural Networks on Noisy Labels with Bootstrapping.
Scott E. ReedHonglak LeeDragomir AnguelovChristian SzegedyDumitru ErhanAndrew RabinovichPublished in: ICLR (Workshop) (2015)
Keyphrases
- neural network
- training process
- training set
- training algorithm
- feedforward neural networks
- multi layer perceptron
- artificial neural networks
- training examples
- back propagation
- feed forward neural networks
- backpropagation algorithm
- pattern recognition
- neural network model
- class labels
- training patterns
- feed forward
- recurrent neural networks
- recurrent networks
- training data
- information extraction
- labelled data
- radial basis function network
- neural network structure
- error back propagation
- training phase
- test set
- noisy data
- training samples
- neural network training
- pairwise
- decision trees
- deep architectures
- genetic algorithm