Clustered task-aware meta-learning by learning from learning paths

To enable effective learning of new tasks with only a few examples, meta-learning acquires common knowledge from the existing tasks with a globally shared meta-learner. To further address the problem of task heterogeneity, recent developments balance between customization and generalization by incor...

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Bibliographic Details
Main Authors: Peng, Danni, Pan, Sinno Jialin
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/172181
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Institution: Nanyang Technological University
Language: English
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