794 citations · 957 across the 13 of their papers we have counts for
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cs.LG2019★ 11 cited
Learning to learn via Self-Critique
Antreas Antoniou, Amos Storkey
In few-shot learning, a machine learning system learns from a small set of labelled examples relating to a specific task, such that it can generalize to new examples of the same ta…
stat.ML2019★ 35 cited
Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
Antreas Antoniou, Amos Storkey
The field of few-shot learning has been laboriously explored in the supervised setting, where per-class labels are available. On the other hand, the unsupervised few-shot learning…