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Teaching Meaningful Explanations

Teaching Meaningful Explanations

29 May 2018
Noel Codella
Michael Hind
Karthikeyan N. Ramamurthy
Murray Campbell
Amit Dhurandhar
Kush R. Varshney
Dennis L. Wei
Aleksandra Mojsilović
    FAtt
    XAI
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Papers citing "Teaching Meaningful Explanations"

4 / 4 papers shown
Title
Automated Rationale Generation: A Technique for Explainable AI and its
  Effects on Human Perceptions
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions
Upol Ehsan
Pradyumna Tambwekar
Larry Chan
Brent Harrison
Mark O. Riedl
19
237
0
11 Jan 2019
Explainable PCGML via Game Design Patterns
Explainable PCGML via Game Design Patterns
Matthew J. Guzdial
Josh Reno
Jonathan Chen
Gillian Smith
Mark O. Riedl
16
33
0
25 Sep 2018
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
235
203
0
06 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,242
0
24 Jun 2017
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