Low-loss connection of weight vectors: distribution-based approaches
August 03, 2020 ยท Declared Dead ยท ๐ International Conference on Machine Learning
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Authors
Ivan Anokhin, Dmitry Yarotsky
arXiv ID
2008.00741
Category
cs.LG: Machine Learning
Cross-listed
cs.NE,
stat.ML
Citations
4
Venue
International Conference on Machine Learning
Last Checked
4 months ago
Abstract
Recent research shows that sublevel sets of the loss surfaces of overparameterized networks are connected, exactly or approximately. We describe and compare experimentally a panel of methods used to connect two low-loss points by a low-loss curve on this surface. Our methods vary in accuracy and complexity. Most of our methods are based on "macroscopic" distributional assumptions, and some are insensitive to the detailed properties of the points to be connected. Some methods require a prior training of a "global connection model" which can then be applied to any pair of points. The accuracy of the method generally correlates with its complexity and sensitivity to the endpoint detail.
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