Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks

Abstract

While deeper and wider neural networks are actively pushing the performance limits of various computer vision and machine learning tasks, they often require large sets of labeled data for effective training and suffer from extremely high computational complexity. In this paper, we will develop a new framework for training deep neural networks on datasets… (More)

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