Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

15 May 2018Byeongho HeoMinsik LeeSangdoo YunJin Young Choi

Many recent works on knowledge distillation have provided ways to transfer the knowledge of a trained network for improving the learning process of a new one, but finding a good technique for knowledge distillation is still an open problem. In this paper, we provide a new perspective based on a decision boundary, which is one of the most important component of a classifier... (read more)

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