LAUSR

Discrimination-aware Network Pruning for Deep Model Compression

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0 Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"

DOI: 10.1109/tpami.2021.3066410

Abstract: We study network pruning which aims to remove redundant channels/kernels and accelerate the inference of deep networks. Existing pruning methods either train from scratch with sparsity constraints or minimize the reconstruction error between the feature… read more here.

Keywords: discriminative power; model; network pruning; discrimination aware ... See more keywords