Uncertainty in the Variational Information Bottleneck.

arXiv: Learning(2018)

引用 32|浏览95
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摘要
We present a simple case study, demonstrating that Variational Information Bottleneck (VIB) can improve a networku0027s 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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