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Article
Open AccessMitigating belief projection in explainable artificial intelligence via Bayesian teaching
State-of-the-art deep-learning systems use decision rules that are challenging for humans to model. Explainable AI (XAI) attempts to improve human understanding but rarely accounts for how people typically rea...
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Article
The helpfulness of category labels in semi-supervised learning depends on category structure
The study of semi-supervised category learning has generally focused on how additional unlabeled information with given labeled information might benefit category learning. The literature is also somewhat cont...
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Article
Learning time-varying categories
Many kinds of objects and events in our world have a strongly time-dependent quality. However, most theories about concepts and categories either are insensitive to variation over time or treat it as a nuisanc...
