CLG: Contrastive Label Generation with Knowledge for Few-Shot Learning
Training large-scale models needs big data. However, the few-shot problem is difficult to resolve due to inadequate training data. It is valuable to use only a few training samples to perform the task, such as using big data for application scenarios due to cost and resource problems. So, to tackle...
| Published in: | Mathematics |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/3/472 |