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    Machine learning foundations· 2015

    Weight Uncertainty in Neural Network

    Charles Blundell (first author) · 2015

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    arXiv 1505.05424OpenAlex W2951266961

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    Why it matters

    Introduced Bayes by Backprop for learning neural-network weight distributions.

    Condensed from the expert lists' notes.

    The record

    First released
    2015 (from arXiv 1505.05424)
    Citations
    2,326 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.350 · computed rank 480 · consensus 0.38, must-read 0, citations percentile 0.676 (2010s · foundations), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.