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Ruslan Salakhutdinov

University of Toronto

1 paper in the Anchorcite directory, published in 2006, cited 21,380 times in total.

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Papers

  1. Reducing the Dimensionality of Data with Neural NetworksScience · 2006 · 21,380 citations

    High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central layer to reconstruct high-dimensional input vectors. Gradient descent can be used for fine-tuning the weights in such "autoencoder" networks, but this works…

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