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Addressing Randomness in Evaluation Protocols for Out-of-Distribution
  Detection

Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection

1 March 2022
Konstantin Kirchheim
Tim Gonschorek
F. Ortmeier
    OODD
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Papers citing "Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection"

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
9,134
0
06 Jun 2015
1