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Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space

Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space

Yukai Zhang
Ao Xu
Zihao Li
Tieru Wu
ArXivPDFHTML

Papers citing "Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space"

3 / 3 papers shown
Title
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin M. Kenny
Mark T. Keane
40
100
0
10 Sep 2020
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar
Pin-Yu Chen
Ronny Luss
Chun-Chen Tu
Pai-Shun Ting
Karthikeyan Shanmugam
Payel Das
FAtt
77
587
0
21 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
36
2,332
0
01 Nov 2017

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