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Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
Work
Year: 2024
Type: article
Abstract: Partial label learning (PLL) refers to the classification task where each training instance is ambiguously annotated with a set of candidate labels. Despite substantial advancements in tackling this c... more
Cites: 54
Cited by: 1
Related to: 10
FWCI: 1.501
Citation percentile (by year/subfield): 80.75
Open Access status: gold