Compressing Deep Neural Networks via Layer Fusion

29 Jul 2020James O' NeillGreg Ver SteegAram Galstyan

This paper proposes \textit{layer fusion} - a model compression technique that discovers which weights to combine and then fuses weights of similar fully-connected, convolutional and attention layers. Layer fusion can significantly reduce the number of layers of the original network with little additional computation overhead, while maintaining competitive performance... (read more)

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