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Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by
  Example

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example

19 February 2020
Serena Booth
Yilun Zhou
Ankit J. Shah
J. Shah
    BDL
ArXivPDFHTML

Papers citing "Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example"

3 / 3 papers shown
Title
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán
Umang Bhatt
T. Adel
Adrian Weller
José Miguel Hernández-Lobato
UQCV
BDL
40
111
0
11 Jun 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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