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Improving Knowledge Distillation via Transferring Learning Ability

2023-04-24Code Available0· sign in to hype

Long Liu, Tong Li, Hui Cheng

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Abstract

Existing knowledge distillation methods generally use a teacher-student approach, where the student network solely learns from a well-trained teacher. However, this approach overlooks the inherent differences in learning abilities between the teacher and student networks, thus causing the capacity-gap problem. To address this limitation, we propose a novel method called SLKD.

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