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Energy-efficient amortized inference with cascaded deep classifiers
Jiaqi Guan
, Yang Liu
, Qiang Liu
, Jian Peng
Siebel School of Computing and Data Science
National Center for Supercomputing Applications (NCSA)
Biomedical and Translational Sciences
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Keyphrases
Energy Cost
100%
Energy Efficient
100%
Amortized Inference
100%
Deep Learning Classifier
100%
Prediction Accuracy
66%
Computation Cost
66%
Deep Neural Network
66%
Neural Network
33%
Computational Cost
33%
Energy Conservation
33%
Mobile Sensing
33%
Effective Cost
33%
Hard Examples
33%
Constrained Application
33%
Method Effectiveness
33%
ImageNet Dataset
33%
CIFAR-10
33%
Computer Science
Energy Efficient
100%
Data Instance
100%
Deep Neural Network
100%
Computational Cost
50%
Neural Network
50%
Prediction Accuracy
50%
Predictive Accuracy
50%
Artificial Intelligence
50%