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The human visual system has the remarkably ability to be able to effortlessly learn novel concepts from only a few examples.
Long short-term memory
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Low-shot visual recognition by shrinking and hallucinating features
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Model-agnostic meta-learning for fast adaptation of deep networks
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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One-shot learning with memory-augmented neural networks
A. Santoro, S. Bartunov, M. Botvinick, D. Wierstra, and T. Lillicrap · 2016
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Matching networks for one shot learning
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H. Qi, M. Brown, and D. G. Lowe · 2017
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Optimization as a model for few-shot learning
S. Ravi and H. Larochelle · 2017
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icarl: Incremental classifier and representation learning
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Prototypical networks for few-shot learning
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Low-shot learning from imaginary data
Y.-X. Wang, R. Girshick, M. Hebert, and B. Hariharan · 2018
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