Yeo Shu Heng

A Two-Stage Learning-to-Defer Approach for Multi-Task Learning

The Two-Stage Learning-to-Defer (L2D) framework has been extensively studied for classification and, more recently, regression tasks. However, many real-world applications require solving both tasks jointly in a multi-task setting. We introduce a novel Two-Stage L2D framework for multi-task learning…