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  1. Structural Priors in Deep Neural Networks

    … our knowledge of the low-rank nature of most filters learned for natural images by structuring a deep network to learn a collection of mostly small, low-rank, filters. The second addresses the filter/channel extents of convolutional filters, by learning filters with limited channel extents. …

    cambridge Repository record for Structural Priors in Deep Neural Networks (opens in a new tab)