RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations

@article{Yao2017RDeepSenseRD,
  title={RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations},
  author={Shuochao Yao and Yiran Zhao and Huajie Shao and Aston Zhang and Chao Zhang and Shen Li and Tarek F. Abdelzaher},
  journal={IMWUT},
  year={2017},
  volume={1},
  pages={173:1-173:26}
}
Recent advances in deep learning have led various applications to unprecedented achievements, which could potentially bring higher intelligence to a broad spectrum of mobile and ubiquitous applications. Although existing studies have demonstrated the effectiveness and feasibility of running deep neural network inference operations on mobile and embedded devices, they overlooked the reliability of mobile computing models. Reliability measurements such as predictive uncertainty estimations are… CONTINUE READING
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