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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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/172181 |
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Institution: | Nanyang Technological University |
Language: | English |