Rethinking the Value of Network Pruning

ICLR 2019 Zhuang LiuMingjie SunTinghui ZhouGao HuangTrevor Darrell

Network pruning is widely used for reducing the heavy inference cost of deep models in low-resource settings. A typical pruning algorithm is a three-stage pipeline, i.e., training (a large model), pruning and fine-tuning... (read more)

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