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How Well Do Feature-Additive Explainers Explain Feature-Additive
  Predictors?

How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?

27 October 2023
Zachariah Carmichael
Walter J. Scheirer
    FAtt
ArXivPDFHTML

Papers citing "How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?"

5 / 5 papers shown
Title
Unjustified Sample Sizes and Generalizations in Explainable AI Research:
  Principles for More Inclusive User Studies
Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies
Uwe Peters
Mary Carman
ELM
15
1
0
08 May 2023
From Shapley Values to Generalized Additive Models and back
From Shapley Values to Generalized Additive Models and back
Sebastian Bordt
U. V. Luxburg
FAtt
TDI
51
33
0
08 Sep 2022
Unfooling Perturbation-Based Post Hoc Explainers
Unfooling Perturbation-Based Post Hoc Explainers
Zachariah Carmichael
Walter J. Scheirer
AAML
42
14
0
29 May 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
166
181
0
03 Feb 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
1