NestedNet: Learning Nested Sparse Structures in Deep Neural Networks

CVPR 2018 Eunwoo KimChanho AhnSonghwai Oh

Recently, there have been increasing demands to construct compact deep architectures to remove unnecessary redundancy and to improve the inference speed. While many recent works focus on reducing the redundancy by eliminating unneeded weight parameters, it is not possible to apply a single deep architecture for multiple devices with different resources... (read more)

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