Paraphrasing Complex Network: Network Compression via Factor Transfer

NeurIPS 2018 Jangho KimSeongUk ParkNojun Kwak

Many researchers have sought ways of model compression to reduce the size of a deep neural network (DNN) with minimal performance degradation in order to use DNNs in embedded systems. Among the model compression methods, a method called knowledge transfer is to train a student network with a stronger teacher network... (read more)

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