Progressive Meta-Learning With Curriculum

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 9; pp. 5916 - 5930
• Main Authors: Zhang, Ji, Song, Jingkuan, Gao, Lianli, Liu, Ye, Shen, Heng Tao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Computational modeling; Curricula; curriculum learning; Ear; Few-shot learning; hard task-sampling; Hardness; Learning; meta-learning; Pediatrics; Regularization; self-paced learning; Task analysis; Training

Meta-learning offers an effective solution to learn new concepts under scarce supervision through an episodic-training scheme: a series of target-like tasks sampled from base classes are sequentially fed into a meta-learner to extract cross-task knowledge, which can facilitate the quick acquisition...