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05/10/2023
Towards Effective Visual Representations for Partial-Label Learning
Under partial-label learning (PLL) where, for each training instance, on...
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06/02/2022
Progressive Purification for Instance-Dependent Partial Label Learning
Partial label learning (PLL) aims to train multi-class classifiers from ...
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06/01/2022
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
Multi-label learning (MLL) learns from the examples each associated with...
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06/11/2021
On the Robustness of Average Losses for Partial-Label Learning
Partial-label (PL) learning is a typical weakly supervised classificatio...
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09/18/2020
Compact Learning for Multi-Label Classification
Multi-label classification (MLC) studies the problem where each instance...
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07/17/2020
Provably Consistent Partial-Label Learning
Partial-label learning (PLL) is a multi-class classification problem, wh...
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02/19/2020
