EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks

EW-CACTUs-MAML: A Robust Metalearning System for Rapid Classification on a Large Number of Tasks

This study aims to develop a robust metalearning system for rapid classification on a large number of tasks. The model-agnostic metalearning (MAML) with the CACTUs method (clustering to automatically construct tasks for unsupervised metalearning) is improved as EW-CACTUs-MAML after integrated with t...

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Bibliographic Details
Main Authors: Wen-Feng Wang, Jingjing Zhang, Peng An
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2022/7330823
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