Evaluating Robustness of Predictive Uncertainty Estimation:
Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki * 1 Bertrand Charpentier * 1 Daniel Zügner 1 Sandhya Giri 1 Stephan Günnemann 1
Abstract
Dirichlet-based uncertainty (DBU) models are a
recent and promising class of uncertainty-aware
models. DBU models predict the parameters of a
Dirichlet distribution to provide fast, high-quality
uncertainty estimates alongside with class predic-
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