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Controlling Covariate Shift using Balanced Normalization of Weights (1812.04549v2)
Published 11 Dec 2018 in cs.LG and stat.ML
Abstract: We introduce a new normalization technique that exhibits the fast convergence properties of batch normalization using a transformation of layer weights instead of layer outputs. The proposed technique keeps the contribution of positive and negative weights to the layer output balanced. We validate our method on a set of standard benchmarks including CIFAR-10/100, SVHN and ILSVRC 2012 ImageNet.
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