A Semi-Supervised Adversarial Robust Model-Agnostic Meta-Learning Method

The meta model developed by meta learning is expected to have the ability of "learning to learn". Therefore, it can quickly adapt to new tasks based on the learned "meta knowledge", with a small number of gradient descent steps to fine-tune the model using a few labeled training...

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书目详细资料

主要作者:	HU Bin, WANG Xiaojun, ZHANG Lei
格式:	Artigo
语言:	Inglês
出版:	Editorial Office of Computer Engineering 2022-12-01
丛编:	Jisuanji gongcheng
主题:	few-shot learning(fsl)|meta-learning|adversarial training|semi-supervised learning|adversarial robustness
在线阅读:	https://www.ecice06.com/fileup/1000-3428/PDF/20221214.pdf
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