10 citations · 27 across the 6 of their papers we have counts for
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2 papers · 1 filter
cs.LG2019★ 1 cited
Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork
Yulong Wang, Xiaolin Hu, Hang Su
We propose a novel perspective to understand deep neural networks in an interpretable disentanglement form. For each semantic class, we extract a class-specific functional subnetwo…
cs.CV2019
Pruning from Scratch
Yulong Wang, Xiaolu Zhang, Lingxi Xie +4
Network pruning is an important research field aiming at reducing computational costs of neural networks. Conventional approaches follow a fixed paradigm which first trains a large…