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...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Elsevier
2023-10-01
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| سلاسل: | ICT Express |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S2405959522001345 |
| الوسوم: |
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