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Initialization Noise in Image Gradients and Saliency Maps
In this paper, we examine gradients of logits of image classification CNNs by input pixel values.
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
We perform an empirical study of the behaviour of deep networks when fully linearizing some of its feature channels through a sparsity prior on the overall number of nonlinear units in the network.
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