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Keep Your Friends Close and Your Counterfactuals Closer: Improved
  Learning From Closest Rather Than Plausible Counterfactual Explanations in an
  Abstract Setting

Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting

11 May 2022
Ulrike Kuhl
André Artelt
Barbara Hammer
ArXivPDFHTML

Papers citing "Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting"

7 / 7 papers shown
Title
Generating Likely Counterfactuals Using Sum-Product Networks
Generating Likely Counterfactuals Using Sum-Product Networks
Jiri Nemecek
Tomás Pevný
Jakub Marecek
TPM
65
0
0
25 Jan 2024
"Even if ..." -- Diverse Semifactual Explanations of Reject
"Even if ..." -- Diverse Semifactual Explanations of Reject
André Artelt
Barbara Hammer
19
12
0
05 Jul 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to
  Study Usability of Counterfactual Explanations for Machine Learning
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning
Ulrike Kuhl
André Artelt
Barbara Hammer
22
17
0
06 May 2022
A Few Good Counterfactuals: Generating Interpretable, Plausible and
  Diverse Counterfactual Explanations
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
Barry Smyth
Mark T. Keane
CML
32
26
0
22 Jan 2021
GeCo: Quality Counterfactual Explanations in Real Time
GeCo: Quality Counterfactual Explanations in Real Time
Maximilian Schleich
Zixuan Geng
Yihong Zhang
D. Suciu
35
61
0
05 Jan 2021
Issues with post-hoc counterfactual explanations: a discussion
Issues with post-hoc counterfactual explanations: a discussion
Thibault Laugel
Marie-Jeanne Lesot
Christophe Marsala
Marcin Detyniecki
CML
99
44
0
11 Jun 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
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