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Found 3 papers, 1 papers with code
Generating robust counterfactual explanations
Counterfactual explanations have become a mainstay of the XAI field.
VCNet: A self-explaining model for realistic counterfactual generation
Our contribution is the generation of counterfactuals that are close to the distribution of the predicted class.
Preference fusion and Condorcet's Paradox under uncertainty
The aim of this work is to propose a preference fusion method that copes with uncertainty and escape from the Condorcet paradox.
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