Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...

Deep neural networks have transformed numerous fields by learning hierarchical representations from vast datasets. However, their performance critically depends on the quality of labelled data. Noisy ...