meta-learning

Meta-learning without data via Wasserstein distributionally-robust model fusion

Existing meta-learning works assume that each task has available training and testing data. However, there are many available …

Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao