Meta-ensemble learning with a multi-headed model for few-shot problems
Recent meta-learning algorithms for few-shot learning are based on episodic training where each episode consists of only a few support and query samples to imitate a target few-shot task. However, due to the limited number of categories and few samples in each category, this framework suffers from o...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Elsevier
2023-10-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959522001345 |
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