To date, the multi-objective optimization literature has mainly focused on conflicting
objectives, studying the Pareto front or requiring users to balance trade-offs. Yet, in machine …

Multi-task learning (MTL) can leverage shared knowledge across tasks to improve data
efficiency and generalization performance, and has been applied in various scenarios …