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    Computer vision & multimodal· 2014

    How transferable are features in deep neural networks?

    Jason Yosinski (first author) · 2014

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    arXiv 1411.1792OpenAlex W2149933564

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    Why it matters

    Systematically explained feature generality, specialization, and layer-dependent transferability in deep networks.

    Condensed from the expert lists' notes.

    The record

    First released
    2014 (from arXiv 1411.1792)
    Citations
    9,618 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.518 · computed rank 214 · consensus 0.64, must-read 0.5, citations percentile 0.647 (2010s · vision), awards 0, existing lists 0.5. 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). Each count names its source. See the method.