BRIEF: Backward Reduction of CNNs with Information Flow Analysis

16 Jul 2018 Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang

This paper proposes BRIEF, a backward reduction algorithm that explores compact CNN-model designs from the information flow perspective. This algorithm can remove substantial non-zero weighting parameters (redundant neural channels) of a network by considering its dynamic behavior, which traditional model-compaction techniques cannot achieve... (read more)

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