Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks

NeurIPS 2019 Zhonghui YouKun YanJinmian YeMeng MaPing Wang

Filter pruning is one of the most effective ways to accelerate and compress convolutional neural networks (CNNs). In this work, we propose a global filter pruning algorithm called Gate Decorator, which transforms a vanilla CNN module by multiplying its output by the channel-wise scaling factors, i.e. gate... (read more)

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