On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks.
Sunil ThulasidasanGopinath ChennupatiJeff A. BilmesTanmoy BhattacharyaSarah MichalakPublished in: CoRR (2019)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- feed forward neural networks
- pattern recognition
- multi layer perceptron
- back propagation
- backpropagation algorithm
- camera calibration
- neural network model
- genetic algorithm
- error back propagation
- radial basis function network
- predictive model
- multi layer
- training samples
- fuzzy logic
- deep architectures
- neural network training
- training set
- training phase
- online learning
- artificial neural networks
- computer vision
- recurrent neural networks
- recurrent networks
- probabilistic model
- test set
- missing data
- fuzzy systems
- feed forward
- neural nets