Abstract: Class incremental learning (CIL) aims to enable models to continuously learn new classes without catastrophically forgetting old ones. A promising direction is to learn and use prototypes of ...
Abstract: Traditional elective patients' surgical scheduling relies on plan-makers' subjective estimates or historical averages, leading to inefficiencies such as surgery cancellations or ...
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