Abstract: Weight decay is a widely used technique in training machine learning models, known to empirically enhance the generalization of Stochastic Gradient Descent (SGD). While intuitively weight ...
Abstract: Even recent Deep Learning (DL) architectures are highly sensitive to training hyperparameters, initial weights, and data distributions, making the development of fast and stable optimization ...
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