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DisCERN:Discovering Counterfactual Explanations using Relevance Features
  from Neighbourhoods

DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods

13 September 2021
Nirmalie Wiratunga
A. Wijekoon
Ikechukwu Nkisi-Orji
Kyle Martin
Chamath Palihawadana
D. Corsar
    CMLAAML
ArXiv (abs)PDFHTML

Papers citing "DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods"

3 / 3 papers shown
Title
This changes to that : Combining causal and non-causal explanations to
  generate disease progression in capsule endoscopy
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy
Anuja Vats
A. Mohammed
Marius Pedersen
Nirmalie Wiratunga
MedIm
55
9
0
05 Dec 2022
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a
  Jointly Trained Generative Latent Space
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space
Eric Yeh
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
OODCMLBDLOffRL
54
2
0
15 Jul 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,225
0
16 Feb 2016
1