Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions

Zhenyi Wang, Li Shen, Le Fang +4

The paradigm of machine intelligence moves from purely supervised learning to a more practical scenario when many loosely related unlabeled data are available and labeled data is s…