most citedHierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2025★ 2 cited

Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification

Ruobing Jiang, Mengzhe Liu, Haobing Liu +1

Hierarchical Multi-Label Classification (HMC) faces critical challenges in maintaining structural consistency and balancing loss weighting in Multi-Task Learning (MTL). In order to…