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stat.ML updates on arXiv.org

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Probabilistic Decoupling of Labels in Classification
Jeppe Nørregaard, Lars Kai Hansen · 2020-06-16 · via stat.ML updates on arXiv.org

In this paper we develop a principled, probabilistic, unified approach to non-standard classification tasks, such as semi-supervised, positive-unlabelled, multi-positive-unlabelled and noisy-label learning. We train a classifier on the given labels to predict the label-distribution. We then infer the underlying class-distributions by variationally optimizing a model of label-class transitions.

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