Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks

23 Aug 2019Juan MaroñasRoberto ParedesDaniel Ramos

Deep Neural Networks (DNNs) have achieved state-of-the-art accuracy performance in many tasks. However, recent works have pointed out that the outputs provided by these models are not well-calibrated, seriously limiting their use in critical decision scenarios... (read more)

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