Enhancing Machine Learning Reliability: How Atypicality Improves Model Performance and Uncertainty Quantification

An object is considered typical if it resembles other items in its category. For instance, a penguin is an unusual bird, yet a dove and a sparrow are normal birds. Several cognitive science studies imply that typicality is essential to category knowledge. Humans, for example, have been demonstrated to learn, recall, and relate to common […]

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