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cs.LG2020★ 3 cited
Uncertainty-Aware Deep Classifiers using Generative Models
Murat Sensoy, Lance Kaplan, Federico Cerutti +1
Deep neural networks are often ignorant about what they do not know and overconfident when they make uninformed predictions. Some recent approaches quantify classification uncertai…
cs.LG2018
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy, Lance Kaplan, Melih Kandemir
Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems. However, as the standard approach is to train the network to m…