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Unsupervised image-to-image translation techniques are able to map local texture between two domains, but they are typically unsuccessful when the domains require larger shape change. Inspired by… Continue Reading
Training a neural network is synonymous with learning the values of the weights. In contrast, we demonstrate that randomly weighted neural networks contain subnetworks which achieve impressive… Continue Reading
Sparsity in Deep Neural Networks (DNNs) is studied extensively with the focus of maximizing prediction accuracy given an overall budget. Existing methods rely on uniform or heuristic non-uniform… Continue Reading
Proliferation of applications, complexity of business processes, and requirements of stronger security systems have put increasingly higher demands on Information Hiding. The increasing levels of… Continue Reading