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    Deep Learning via Semi-supervised Embedding

    We show how nonlinear semi-supervised embedding algorithms popular for use with “shallow” learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regular...

    Jason Weston, Frédéric Ratle, Hossein Mobahi… in Neural Networks: Tricks of the Trade (2012)