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A multiobjective continuation method to compute the regularization path of deep neural networks
To overcome this limitation, we present an algorithm that allows for the approximation of the entire Pareto front for the above-mentioned objectives in a very efficient manner for high-dimensional DNNs with millions of parameters.
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