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The field of Few-Shot Learning (FSL), or learning from very few (typically $1$ or $5$) examples per novel class (unseen during training), has received a lot of attention and significant performance advances in the recent literature.
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Alfassy, A., Karlinsky, L., Aides, A., Shtok, J., Harary, S., Feris, R., Giryes, R., Bronstein, A.M.: LaSO: Label-Set Operations networks for multi-label few-shot learning. In: CVPR (2019)
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