Learning Pareto Stationary Fronts via Single-Pass Backpropagation

Elina Rojin Celik, Marcos Medeiros Raimundo, Isabel Valera

We propose MOSEL (Multi-Objective Stackelberg Efficient Learning), a framework for a posteriori multi-objective optimization (MOO) in deep neural networks that recovers a full fron…