The best neural architecture for a given machine learning problem depend...
Neural networks are sensitive to hyper-parameter and architecture choice...
Developing efficient models for mobile phones or other on-device deploym...
Efficient Neural Architecture Search methods based on weight sharing hav...
Inverted bottleneck layers, which are built upon depthwise convolutions,...
Neural architecture search (NAS) has shown promising results discovering...
Neural Architecture Search methods are effective but often use complex
a...
Conditional computation aims to increase the size and accuracy of a netw...