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Variational Student: Learning Compact And Sparser Networks In Knowledge Distillation Framework
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Variational Student: Learning Compact And Sparser Networks In Knowledge Distillation Framework
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The holy grail in deep neural network research is porting the memory- and computation-intensive network models on embedded platforms with a minimal compromise in model accuracy. To this end, we propose Variational Student where we reap the benefits of com
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