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08/12/2023
Multi-Label Knowledge Distillation
Existing knowledge distillation methods typically work by imparting the ...
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05/04/2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Pseudo labeling is a popular and effective method to leverage the inform...
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09/03/2022
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting
Deep neural networks trained with standard cross-entropy loss are more p...
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08/26/2022
Meta Objective Guided Disambiguation for Partial Label Learning
Partial label learning (PLL) is a typical weakly supervised learning fra...
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07/06/2022
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation
In this paper, we study the partial multi-label (PML) image classificati...
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05/16/2021
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise
Class-conditional noise commonly exists in machine learning tasks, where...
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02/15/2018
