2020
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
ICML 2020poster
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. In such cases, multi-objective optimization based MTL methods can be used to find one or more Pareto op…