Cooperative Meta-Learning with Gradient Augmentation

Jongyun Shin, Seunjin Han, Jangho Kim

Model agnostic meta-learning (MAML) is one of the most widely used gradient-based meta-learning, consisting of two optimization loops: an inner loop and outer loop. MAML learns the…