Neural activation coverage can be adapted to provide uncertainty estimates in regression that the authors' experiments show are more meaningful than Monte-Carlo Dropout.
On the generalized distance in statistics.Sankhy¯ a: The Indian Journal of Statistics, Series A (2008-), 80:S1–S7, 2018
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Revisiting Neural Activation Coverage for Uncertainty Estimation
Neural activation coverage can be adapted to provide uncertainty estimates in regression that the authors' experiments show are more meaningful than Monte-Carlo Dropout.