activity
20202026
most citedAn Empirical Study and Analysis on Open-Set Semi-Supervised Learning

4 citations · 7 across the 4 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 3 cited

Pruning Filter in Filter

Fanxu Meng, Hao Cheng, Ke Li +4

Pruning has become a very powerful and effective technique to compress and accelerate modern neural networks. Existing pruning methods can be grouped into two categories: filter pr…

cs.LG2020

Filter Grafting for Deep Neural Networks: Reason, Method, and Cultivation

Hao Cheng, Fanxu Meng, Ke Li +4

Filter is the key component in modern convolutional neural networks (CNNs). However, since CNNs are usually over-parameterized, a pre-trained network always contain some invalid (u…