2 papers
cs.CV2020
GHFP: Gradually Hard Filter Pruning
Linhang Cai, Zhulin An, Yongjun Xu
Filter pruning is widely used to reduce the computation of deep learning, enabling the deployment of Deep Neural Networks (DNNs) in resource-limited devices. Conventional Hard Filt…
cs.CV2020
Softer Pruning, Incremental Regularization
Linhang Cai, Zhulin An, Chuanguang Yang +1
Network pruning is widely used to compress Deep Neural Networks (DNNs). The Soft Filter Pruning (SFP) method zeroizes the pruned filters during training while updating them in the…