Jingling Liu

On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels

Meta-learning has achieved significant advancements, with generalization emerging as a key metric for evaluating meta-learning algorithms. While recent studies have mainly focused on training strategies, data-split methods, and tightening generalization bounds, they often ignore the impact of inner-…