Information-Theoretic Local Minima Characterization and Regularization

ICLR 2020 Zhiwei JiaHao Su

Recent advances in deep learning theory have evoked the study of generalizability across different local minima of deep neural networks (DNNs). While current work focused on either discovering properties of good local minima or developing regularization techniques to induce good local minima, no approach exists that can tackle both problems... (read more)

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