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Programs as Black-Box Explanations

Programs as Black-Box Explanations

22 November 2016
Sameer Singh
Marco Tulio Ribeiro
Carlos Guestrin
    FAtt
ArXivPDFHTML

Papers citing "Programs as Black-Box Explanations"

7 / 7 papers shown
Title
Guarantee Regions for Local Explanations
Guarantee Regions for Local Explanations
Marton Havasi
S. Parbhoo
Finale Doshi-Velez
FAtt
AAML
30
0
0
20 Feb 2024
Questioning the AI: Informing Design Practices for Explainable AI User
  Experiences
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
52
702
0
08 Jan 2020
Local Rule-Based Explanations of Black Box Decision Systems
Local Rule-Based Explanations of Black Box Decision Systems
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
D. Pedreschi
Franco Turini
F. Giannotti
31
435
0
28 May 2018
How do Humans Understand Explanations from Machine Learning Systems? An
  Evaluation of the Human-Interpretability of Explanation
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation
Menaka Narayanan
Emily Chen
Jeffrey He
Been Kim
S. Gershman
Finale Doshi-Velez
FAtt
XAI
36
241
0
02 Feb 2018
Towards the Augmented Pathologist: Challenges of Explainable-AI in
  Digital Pathology
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology
Andreas Holzinger
Bernd Malle
Peter Kieseberg
P. Roth
Heimo Muller
Robert Reihs
K. Zatloukal
19
91
0
18 Dec 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu
M. C. Hughes
S. Parbhoo
Maurizio Zazzi
Volker Roth
Finale Doshi-Velez
AI4CE
28
281
0
16 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
41
582
0
10 Mar 2017
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