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"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME
  Explanations

"Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations

29 April 2019
Hui Fen Tan
Kuangyan Song
Yiming Sun
Yujia Zhang
Madeilene Udell
    FAtt
ArXivPDFHTML

Papers citing ""Why Should You Trust My Explanation?" Understanding Uncertainty in LIME Explanations"

5 / 5 papers shown
Title
Interpretation of Black Box NLP Models: A Survey
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
45
11
0
31 Mar 2022
A Survey on the Robustness of Feature Importance and Counterfactual
  Explanations
A Survey on the Robustness of Feature Importance and Counterfactual Explanations
Saumitra Mishra
Sanghamitra Dutta
Jason Long
Daniele Magazzeni
AAML
27
57
0
30 Oct 2021
Counterfactuals and Causability in Explainable Artificial Intelligence:
  Theory, Algorithms, and Applications
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
Yu-Liang Chou
Catarina Moreira
P. Bruza
Chun Ouyang
Joaquim A. Jorge
CML
52
177
0
07 Mar 2021
bLIMEy: Surrogate Prediction Explanations Beyond LIME
bLIMEy: Surrogate Prediction Explanations Beyond LIME
Kacper Sokol
Alexander Hepburn
Raúl Santos-Rodríguez
Peter A. Flach
FAtt
21
38
0
29 Oct 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Patrick Schwab
W. Karlen
FAtt
CML
45
208
0
27 Oct 2019
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