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Fractal Dimension Generalization Measure
Published 22 Dec 2020 in cs.LG and stat.ML | (2012.12384v1)
Abstract: Developing a robust generalization measure for the performance of machine learning models is an important and challenging task. A lot of recent research in the area focuses on the model decision boundary when predicting generalization. In this paper, as part of the "Predicting Generalization in Deep Learning" competition, we analyse the complexity of decision boundaries using the concept of fractal dimension and develop a generalization measure based on that technique.
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