Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization

Debabrata Mahapatra, Vaibhav Rajan

Abstract: Multi-Task Learning (MTL) is a well established paradigm for jointly learning models for multiple correlated tasks. Often the tasks conflict, requiring trade-offs between them during optimization. ...