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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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2022/7330823 |
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