most citedEmpowering Language Models with Active Inquiry for Deeper Understanding

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cs.LG2024

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning

Jia-Hao Xiao, Ming-Kun Xie, Heng-Bo Fan +3

Semi-supervised multi-label learning (SSMLL) is a powerful framework for leveraging unlabeled data to reduce the expensive cost of collecting precise multi-label annotations. Unlik…