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Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint
Deep learning has achieved many successes in different fields but can sometimes encounter an overfitting problem when there are insufficient amounts of labeled samples. In solving the problem of learning with limited training data, meta-learning is proposed to remember some common knowledge by lever...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517158/ https://www.ncbi.nlm.nih.gov/pubmed/33286397 http://dx.doi.org/10.3390/e22060625 |