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Found 3 papers, 2 papers with code
Knowledge graphs for empirical concept retrieval
Concept-based explainable AI is promising as a tool to improve the understanding of complex models at the premises of a given user, viz.\ as a tool for personalized explainability.
On convex decision regions in deep network representations
G{\"a}rdenfors' conceptual spaces is a prominent framework for understanding human representations.
Robustness of Visual Explanations to Common Data Augmentation
As the use of deep neural networks continues to grow, understanding their behaviour has become more crucial than ever.
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