Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions

22 Mar 2020Juan MaroñasDaniel RamosRoberto Paredes

Deep Neural Networks (DNN) represent the state of the art in many tasks. However, due to their overparameterization, their generalization capabilities are in doubt and are still under study... (read more)

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