An implementation of mix-up where training pairs are convex combinations of k-nearest neighbors, with weights sampled from a Dirichlet distribution. As with mix-up, the implementation replaces standard pytorch Datasets with a Dataset that forms these convex combinations. The ConvexHullDataset is intended to be a drop-in replacement for map-style Datasets.
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Mix-up, but only neighbors mingle
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gittea-rpi/neighborhoodwatch
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Mix-up, but only neighbors mingle
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