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Adaptive Knowledge Distillation Based On Entropy
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Adaptive Knowledge Distillation Based On Entropy
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Knowledge distillation (KD) approach is widely used in the deep learning field mainly for model size reduction. KD utilizes soft labels of teacher model, which contain the dark- knowledge that one-hot ground-truth does not have. This knowledge can improve
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