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When deep learning is applied to visual object recognition, data augmentation is often used to generate additional training data without extra labeling cost.
Tangent prop - a formalism for specifying selected invariances in an adaptive network
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Gradient-based learning applied to document recognition
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Semi supervised logistic regression
M.-R. Amini and P. Gallinari · 2002
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Neighbourhood components analysis
J. Goldberger, S. T. Roweis, G. E. Hinton, and R. Salakhutdinov · 2004
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Entropy regularization
Y. Grandvalet and Y. Bengio · 2006
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Dimensionality reduction by learning an invariant mapping
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A fast learning algorithm for deep belief nets
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Reducing the dimensionality of data with neural networks
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Training hierarchical feed-forward visual recognition models using transfer learning from pseudo-tasks
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Multipath sparse coding using hierarchical matching pursuit
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