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DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
The remarkable predictive performance of deep neural networks (DNNs) has led to their adoption in service domains of unprecedented scale and scope.
The Ramifications of Making Deep Neural Networks Compact
Reducing the number of parameters in DNNs increases the number of activations which, in turn, increases the memory footprint.
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