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TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework
  for Model Monitoring

TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring

22 July 2022
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
ArXivPDFHTML

Papers citing "TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring"

3 / 3 papers shown
Title
Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on
  Differential Protection Systems
Unmasking Covert Intrusions: Detection of Fault-Masking Cyberattacks on Differential Protection Systems
A. M. Saber
Amr Youssef
D. Svetinovic
H. H. Zeineldin
Ehab El-Saadany
18
3
0
06 Sep 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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
285
9,136
0
06 Jun 2015
1