Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 12; pp. 9860 - 9871
• Main Authors: Hang, Jun-Yi, Zhang, Min-Ling
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Classification; Collaboration; collaborative learning; Correlation; Deep learning; Encoding; Feature extraction; label semantics; label-specific features; Learning; Machine learning; multi-label classification; Representation learning; Semantic relations; Semantics

In multi-label classification, the strategy of label-specific features has been shown to be effective to learn from multi-label examples by accounting for the distinct discriminative properties of each class label. However, most existing approaches exploit the semantic relations among labels as immu...