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20182023
most citedTowards Optimal Structured CNN Pruning via Generative Adversarial Learning

32 citations · 114 across the 17 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

eess.IV2020★ 11 cited

PAMS: Quantized Super-Resolution via Parameterized Max Scale

Huixia Li, Chenqian Yan, Shaohui Lin +5

Deep convolutional neural networks (DCNNs) have shown dominant performance in the task of super-resolution (SR). However, their heavy memory cost and computation overhead significa…

cs.LG2020

Neural network compression via learnable wavelet transforms

Moritz Wolter, Shaohui Lin, Angela Yao

Wavelets are well known for data compression, yet have rarely been applied to the compression of neural networks. This paper shows how the fast wavelet transform can be used to com…