Channel Gating Neural Networks

NeurIPS 2019 Weizhe HuaYuan ZhouChristopher De SaZhiru ZhangG. Edward Suh

This paper introduces channel gating, a dynamic, fine-grained, and hardware-efficient pruning scheme to reduce the computation cost for convolutional neural networks (CNNs). Channel gating identifies regions in the features that contribute less to the classification result, and skips the computation on a subset of the input channels for these ineffective regions... (read more)

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