A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Few-shot learning (FSL) has emerged as an effective learning method and shows great potential. Despite the recent creative works in tackling FSL tasks, learning valid information rapidly from just a few or even zero samples remains a serious challenge. In this context, we extensively investigated 20...
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| Published in: | ACM computing surveys 2023-12, Vol.55 (13s), p.1-40, Article 271 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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