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In this paper, we are interested in the few-shot learning problem.
Locally weighted learning for control
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How children learn the meanings of words
P. Bloom · 2000
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One-shot learning of object categories
L. Fei-Fei, R. Fergus, and P. Perona · 2006
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The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2007
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Caltech-256 object category dataset
G. Griffin, A. Holub, and P. Perona · 2007
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L. v. d. Maaten and G. Hinton · 2008
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A. Krizhevsky · 2009
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Rectified linear units improve restricted boltzmann machines
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One shot learning of simple visual concepts
B. M. Lake, R. Salakhutdinov, J. Gross, and J. B. Tenenbaum · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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One-shot learning by inverting a compositional causal process
B. M. Lake, R. R. Salakhutdinov, and J. Tenenbaum · 2013
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Deep residual learning for image recognition
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Densely connected convolutional networks
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What makes imagenet good for transfer learning?
M. Huh, P. Agrawal, and A. A. Efros · 2016
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Matching networks for one shot learning
O. Vinyals, C. Blundell, T. Lillicrap, K. Kavukcuoglu, and D. Wierstra · 2016
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Wide residual networks
S. Zagoruyko and N. Komodakis · 2016
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