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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
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
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
