Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks

24 Apr 2019Jaedeok KimChiyoun ParkHyun-Joo JungYoonsuck Choe

Architecture optimization, which is a technique for finding an efficient neural network that meets certain requirements, generally reduces to a set of multiple-choice selection problems among alternative sub-structures or parameters. The discrete nature of the selection problem, however, makes this optimization difficult... (read more)

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