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Found 2 papers, 1 papers with code
Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration
Our results suggest that users may recognize that the guided interaction paradigm improves efficiency.
Concept-level Debugging of Part-Prototype Networks
We propose ProtoPDebug, an effective concept-level debugger for ProtoPNets in which a human supervisor, guided by the model's explanations, supplies feedback in the form of what part-prototypes must be forgotten or kept, and the model is fine-tuned to align with this supervision.
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