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03/22/2020
Improving Calibration in Mixup-trained Deep Neural Networks through Confidence-Based Loss Functions
Deep Neural Networks (DNN) represent the state of the art in many tasks....
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08/23/2019
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
Deep Neural Networks (DNNs) have achieved state-of-the-art accuracy perf...
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03/21/2019
Generative Models For Deep Learning with Very Scarce Data
The goal of this paper is to deal with a data scarcity scenario where de...
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10/05/2016