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cs.CV2019
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?
Yunyang Xiong, Ronak Mehta, Vikas Singh
The design of neural network architectures is frequently either based on human expertise using trial/error and empirical feedback or tackled via large scale reinforcement learning…
cs.CV2019
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification
Yunyang Xiong, Hyunwoo J. Kim, Varsha Hedau
Deep convolutional neural networks have achieved remarkable success in computer vision. However, deep neural networks require large computing resources to achieve high performance.…