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Learning Deep Attribution Priors Based On Prior Knowledge
v1v2v3 (latest)

Learning Deep Attribution Priors Based On Prior Knowledge

20 December 2019
Ethan Weinberger
Joseph D. Janizek
Su-In Lee
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Learning Deep Attribution Priors Based On Prior Knowledge"

7 / 7 papers shown
Title
Interpretations are useful: penalizing explanations to align neural
  networks with prior knowledge
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
Laura Rieger
Chandan Singh
W. James Murdoch
Bin Yu
FAtt
85
215
0
30 Sep 2019
Explaining Classifiers with Causal Concept Effect (CaCE)
Explaining Classifiers with Causal Concept Effect (CaCE)
Yash Goyal
Amir Feder
Uri Shalit
Been Kim
CML
83
178
0
16 Jul 2019
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
85
1,176
0
02 Jul 2018
Towards Gene Expression Convolutions using Gene Interaction Graphs
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil
Joseph Paul Cohen
Martin Weiss
Georgy Derevyanko
Yoshua Bengio
GNN
48
33
0
18 Jun 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
129
3,961
0
06 Feb 2018
The (Un)reliability of saliency methods
The (Un)reliability of saliency methods
Pieter-Jan Kindermans
Sara Hooker
Julius Adebayo
Maximilian Alber
Kristof T. Schütt
Sven Dähne
D. Erhan
Been Kim
FAttXAI
101
685
0
02 Nov 2017
Right for the Right Reasons: Training Differentiable Models by
  Constraining their Explanations
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
A. Ross
M. C. Hughes
Finale Doshi-Velez
FAtt
126
589
0
10 Mar 2017
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