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Supervised Encoding For Discrete Representation Learning

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IEEE ICASSP 2020 Virtual Conference May 2020

Classical supervised classification tasks search for a nonlinear mapping that maps each encoded feature directly to a probability mass over the labels. Such a learning framework typically lacks the intuition that encoded features from the same class tend

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Supervised Encoding For Discrete Representation Learning

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Classical supervised classification tasks search for a nonlinear mapping that maps each encoded feature directly to a probability mass over the labels. Such a learning framework typically lacks the intuition that encoded features from the same class tend