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    Generative models· 2015

    Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

    Alec Radford (first author) · 2015 · published 2016

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    arXiv 1511.06434OpenAlex W2173520492

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    Why it matters

    Established practical convolutional GAN architectures and influential training conventions.

    Condensed from the expert lists' notes.

    The record

    First released
    2015 (from arXiv 1511.06434)
    Published
    2016
    Citations
    15,333 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Awards
    ICLR Test of Time
    Named by
    both expert lists
    Also relevant to
    Computer vision & multimodal
    Score
    0.789 · computed rank 16 · consensus 0.76, must-read 0.5, citations percentile 0.889 (2010s · generative-models), awards 1, 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.