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On the Importance of Application-Grounded Experimental Design for
  Evaluating Explainable ML Methods

On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods

24 June 2022
Kasun Amarasinghe
Kit T. Rodolfa
Sérgio Jesus
Valerie Chen
Vladimir Balayan
Pedro Saleiro
P. Bizarro
Ameet Talwalkar
Rayid Ghani
ArXivPDFHTML

Papers citing "On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods"

2 / 2 papers shown
Title
How can I choose an explainer? An Application-grounded Evaluation of
  Post-hoc Explanations
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
Sérgio Jesus
Catarina Belém
Vladimir Balayan
João Bento
Pedro Saleiro
P. Bizarro
João Gama
136
120
0
21 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,690
0
28 Feb 2017
1