28 citations · 28 across the 5 of their papers we have counts for
4 papers · 1 filter
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
Zhengsu Chen, Jianwei Niu, Xuefeng Liu +1
Convolutional neural networks (CNNs) have achieved remarkable success in image recognition. Although the internal patterns of the input images are effectively learned by the CNNs,…
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Lingxi Xie, Xin Chen, Kaifeng Bi +8
Neural architecture search (NAS) has attracted increasing attentions in both academia and industry. In the early age, researchers mostly applied individual search methods which sam…
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
Zhengsu Chen, Jianwei Niu, Lingxi Xie +3
Automatic designing computationally efficient neural networks has received much attention in recent years. Existing approaches either utilize network pruning or leverage the networ…
DropFilter: Dropout for Convolutions
Zhengsu Chen Jianwei Niu Qi Tian
Using a large number of parameters , deep neural networks have achieved remarkable performance on computer vison and natural language processing tasks. However the networks usually…