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DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations
  With Distribution-Aware Autoencoder Loss
v1v2v3 (latest)

DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss

19 April 2021
Jokin Labaien
E. Zugasti
Xabier De Carlos
    CML
ArXiv (abs)PDFHTML

Papers citing "DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss"

1 / 1 papers shown
Counterfactual Explanations and Algorithmic Recourses for Machine
  Learning: A Review
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A ReviewACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
807
281
0
20 Oct 2020
1
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