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Communications in Computer and Information Science
Multi-task learning has shown promising results in many applications of machine learning: given several related tasks, it aims to generalize better on the original tasks, by leveraging the knowledge among tasks. The knowledge transfer mainly depends on task relationships. Most of existing multi-task learning methods guide learning processes based on predefined task relationships. However, the associated relationships have not been fully exploited in these methods. Replacing predefined taskdoi:10.1007/978-981-15-7205-0_1 fatcat:n33tj4hepnb4vlwpcjhv7fkzuy