Back to the reading lists

    Deep learning· 2018

    Neural Tangent Kernel: Convergence and Generalization in Neural Networks

    Arthur Jacot (first author) · 2018

    Read the original

    arXiv 1806.07572OpenAlex W2809090039

    On the reading lists

    Why it matters

    Established the neural tangent kernel framework for understanding infinite-width network training dynamics.

    Condensed from the expert lists' notes.

    The record

    First released
    2018 (from arXiv 1806.07572)
    Citations
    4,360 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Also relevant to
    Machine learning foundations
    Score
    0.369 · computed rank 431 · consensus 0.51, must-read 0, citations percentile 0.616 (2010s · deep-learning), 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.