Relational Knowledge Distillation

Published: Jun 1, 2019
Abstract
Knowledge distillation aims at transferring knowledge acquired in one model (a teacher) to another model (a student) that is typically smaller. Previous approaches can be expressed as a form of training the student to mimic output activations of individual data examples represented by the teacher. We introduce a novel approach, dubbed relational knowledge distillation (RKD), that transfers mutual relations of data examples instead. For concrete...
Paper Details
Title
Relational Knowledge Distillation
Published Date
Jun 1, 2019
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