Efficient architecture for deep neural networks with heterogeneous sensitivity.

@inproceedings{Cho2019EfficientAF,
  title={Efficient architecture for deep neural networks with heterogeneous sensitivity.},
  author={Hyunjoong Cho and Jinhyeok Jang and Chanhyeok Lee and Seungjoon Yang},
  year={2019}
}
This work presents a neural network that consists of nodes with heterogeneous sensitivity. Each node in a network is assigned a variable that determines the sensitivity with which it learns to perform a given task. The network is trained by a constrained optimization that maximizes the sparsity of the sensitivity variables while ensuring the network's performance. As a result, the network learns to perform a given task using only a small number of sensitive nodes. Insensitive nodes, the nodes… CONTINUE READING

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