Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions.
Juan MaroñasDaniel RamosRoberto ParedesPublished in: CoRR (2020)
Keyphrases
- loss function
- neural network
- multilayer perceptron
- pairwise
- training process
- support vector
- logistic regression
- learning to rank
- risk minimization
- loss minimization
- reproducing kernel hilbert space
- squared error
- empirical risk
- convex loss functions
- hinge loss
- boosting algorithms
- neural network model
- update rules
- artificial neural networks
- gaussian process
- active learning
- information retrieval