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    Generative models· 2017

    Improved Training of Wasserstein GANs

    Ishaan Gulrajani (first author) · 2017

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    arXiv 1704.00028OpenAlex W2605135824

    On the reading lists

    Why it matters

    Introduced gradient-penalty regularization, substantially stabilizing Wasserstein GAN training.

    Condensed from the expert lists' notes.

    The record

    First released
    2017 (from arXiv 1704.00028)
    Citations
    11,321 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    the chatgpt list only
    Score
    0.373 · computed rank 417 · consensus 0.24, must-read 0, citations percentile 0.861 (2010s · generative-models), 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). Each count names its source. See the method.