Prasanna Sattigeri

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

2020 · Proceedings of the AAAI Conference on Artificial Intelligence

With rapid adoption of deep learning in critical applications, the question of when and how much to trust these models often arises, which drives the need to quantify the inherent uncertainties. While identifying all sources …