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Meta and transfer learning are two successful families of approaches to few-shot learning.
Evolutionary principles in self-referential learning, or on learning how to learn: the meta-meta-… hook
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A new meta-baseline for few-shot learning
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Prototypical networks for few-shot learning
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A broader study of cross-domain few-shot learning
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Meta-Dataset: A dataset of datasets for learning to learn from few examples
Triantafillou, E., Zhu, T., Dumoulin, V., Lamblin, P., Evci, U., Xu, K., Goroshin, R., Gelada, C., Swersky, K., Manzagol, P.-A., and Larochelle, H · 2020
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Cross-domain few-shot classification via learned feature-wise transformation
Tseng, H.-Y., Lee, H.-Y., Huang, J.-B., and Yang, M.-H · 2020
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Generalizing from a few examples: A survey on few-shot learning
Wang, Y., Yao, Q., Kwok, J. T., and Ni, L. M · 2020
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