General Partial Label Learning via Dual Bipartite Graph Autoencoder

AAAI, pp. 10502-10509, 2020.

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Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

We formulate a practical yet challenging problem: General Partial Label Learning (GPLL). Compared to the traditional Partial Label Learning (PLL) problem, GPLL relaxes the supervision assumption from instance-level --- a label set partially labels an instance --- to group-level: 1) a label set partially labels a group of instances, wher...More

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