GitHub / epfl-ml4ed / evaluating-explainers
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
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Stars: 15
Forks: 2
Open issues: 3
License: mit
Language: PureBasic
Size: 6.15 MB
Dependencies parsed at: Pending
Created at: about 3 years ago
Updated at: 8 months ago
Pushed at: over 2 years ago
Last synced at: 6 months ago
Topics: counterfactual-explanations, deep-learning, explainable-ai, lime, mooc, shap
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