Adaptive task sampling for meta-learning

• Main Authors: LIU, Chenghao, WANG, Zhihao, SAHOO, Doyen, FANG, Yuan, ZHANG, Kun, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Meta-learning; task sampling; few-shot learning; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5293; https://ink.library.smu.edu.sg/context/sis_research/article/6296/viewcontent/ECCV20_GCP.pdf
• Institution: Singapore Management University

Meta-learning methods have been extensively studied and applied in computer vision, especially for few-shot classification tasks. The key idea of meta-learning for few-shot classification is to mimic the few-shot situations faced at test time by randomly sampling classes in meta-training data to con...