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Convolutional Networks with Adaptive Inference Graphs

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and squeeze-and-excitation networks [13] where the output of a residual layer is rescaled according to the layer’s importance. This allows these approaches to emphasize some layers and pay less attention to others. In contrast to our

  Network, Excitation, Squeeze and excitation networks, Squeeze

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