Meta-Learning Amidst Heterogeneity and Ambiguity

Go, K; Kim, M; Yun, S

Yun, S (通讯作者),Korea Adv Inst Sci & Technol KAIST, Kim Jaechul Grad Sch AI, Seoul 02455, South Korea.

IEEE ACCESS, 2023; 11 (): 1578

Abstract

Meta-learning aims to learn a model that can handle multiple tasks generated from an unknown but shared distribution. However, typical meta-learning a......

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