Abstract: Existing studies on knowledge distillation typically focus on teacher-centered methods, in which the teacher network is trained according to its own standards before transferring the learned ...

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

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Policy changes and consumer expectations are reshaping the biopharma market, necessitating a shift to integrated direct-to-patient (DTP) models. DTP models enhance patient access, adherence, and ...