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Towards a Unified View of Affinity-Based Knowledge Distillation
In this paper, by explicitly modularising knowledge distillation into a framework of three components, i. e. affinity, normalisation, and loss, we give a unified treatment of these algorithms as well as study a number of unexplored combinations of the modules.
Target Aware Network Adaptation for Efficient Representation Learning
This paper presents an automatic network adaptation method that finds a ConvNet structure well-suited to a given target task, e. g., image classification, for efficiency as well as accuracy in transfer learning.
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