25 citations · 64 across the 7 of their papers we have counts for
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cs.CV2021
Class-Discriminative CNN Compression
Yuchen Liu, David Wentzlaff, S. Y. Kung
Compressing convolutional neural networks (CNNs) by pruning and distillation has received ever-increasing focus in the community. In particular, designing a class-discrimination ba…
cs.CV2021★ 1 cited
Evolving Transferable Neural Pruning Functions
Yuchen Liu, S. Y. Kung, David Wentzlaff
Structural design of neural networks is crucial for the success of deep learning. While most prior works in evolutionary learning aim at directly searching the structure of a netwo…
cs.CV2020★ 10 cited
Rethinking Class-Discrimination Based CNN Channel Pruning
Yuchen Liu, David Wentzlaff, S. Y. Kung
Channel pruning has received ever-increasing focus on network compression. In particular, class-discrimination based channel pruning has made major headway, as it fits seamlessly w…