n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error

20 Aug 2019Michel MoukariLoïc SimonSylvaine PicardFrédéric Jurie

As deep learning applications are becoming more and more pervasive in robotics, the question of evaluating the reliability of inferences becomes a central question in the robotics community. This domain, known as predictive uncertainty, has come under the scrutiny of research groups developing Bayesian approaches adapted to deep learning such as Monte Carlo Dropout... (read more)

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