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arxiv: 1807.00906 · v1 · submitted 2018-07-02 · 💻 cs.LG · stat.ML

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Uncertainty in the Variational Information Bottleneck

Alexander A. Alemi , Ian Fischer , Joshua V. Dillon
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classification 💻 cs.LG stat.ML
keywords bottleneckinformationuncertaintyvariationalabilitycalibrationcaseclassification
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We present a simple case study, demonstrating that Variational Information Bottleneck (VIB) can improve a network's classification calibration as well as its ability to detect out-of-distribution data. Without explicitly being designed to do so, VIB gives two natural metrics for handling and quantifying uncertainty.

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