%Aigaion2 BibTeX export from Idiap Publications
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@INCOLLECTION{Weston_SPRINGER_2012,
         author = {Weston, Jason and Ratle, Fr{\'{e}}d{\'{e}}ric and Mobahi, Hossein and Collobert, Ronan},
         editor = {Montavon, Gr{\'{e}}goire and Orr, Genevi{\`{e}}ve and M{\"{u}}ller, K. -R.},
       keywords = {deep learning, embedding, semi-supervised learning},
       projects = {Idiap},
          title = {Deep Learning via Semi-Supervised Embedding},
      booktitle = {In Neural Networks: Tricks of the Trade},
        edition = {Second},
           year = {2012},
      publisher = {Springer},
       abstract = {We show how nonlinear embedding algorithms popular for use with "shallow" semi-supervised learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regularizer at the output layer, or on each layer of the architecture. This trick provides a simple alternative to existing approaches to deep learning whilst yielding competitive error rates compared to those methods, and existing shallow semi-supervised techniques.},
            pdf = {https://publications.idiap.ch/attachments/papers/2012/Weston_SPRINGER_2012.pdf}
}