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Counterfactual Explanations for Misclassified Images: How Human and
  Machine Explanations Differ

Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ

16 December 2022
Eoin Delaney
A. Pakrashi
Derek Greene
Markt. Keane
ArXivPDFHTML

Papers citing "Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ"

5 / 5 papers shown
Title
What is different between these datasets?
What is different between these datasets?
Varun Babbar
Zhicheng Guo
Cynthia Rudin
57
1
0
08 Mar 2024
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
BRPO: Batch Residual Policy Optimization
BRPO: Batch Residual Policy Optimization
Kentaro Kanamori
Yinlam Chow
Takuya Takagi
Hiroki Arimura
Honglak Lee
Ken Kobayashi
Craig Boutilier
OffRL
131
46
0
08 Feb 2020
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1