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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 l...

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Auteur principal: HU Bin, WANG Xiaojun, ZHANG Lei
Format: Artigo
Langue:Inglês
Publié: Editorial Office of Computer Engineering 2022-12-01
Collection:Jisuanji gongcheng
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Accès en ligne:https://www.ecice06.com/fileup/1000-3428/PDF/20221214.pdf
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