Parameter Sharing

Transfer Learning (6): Multi-Task Learning

Train one model on multiple tasks simultaneously. Covers hard vs. soft parameter sharing, gradient conflicts (PCGrad, GradNorm, CAGrad), auxiliary task design, and a complete multi-task framework with dynamic weight …