This paper provides a comprehensive survey on the methods used for training and serving foundation models, which have become vital in areas like natural language processing and visual recognition. The…
Continue readingDespite the widespread use of weight decay in training deep networks, its role is not well understood. This study demonstrates how weight decay modifies the optimization dynamics in overparameterized deep…
Continue readingThe paper presents a novel approach for facial privacy protection that uses adversarial latent codes in a pretrained generative model’s low-dimensional manifold. The method is designed to generate “naturalistic” images…
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