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    Deep learning· 2017

    Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

    Benoit Jacob (first author) · 2017 · published 2018

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    DOI 10.1109/cvpr.2018.00286arXiv 1712.05877OpenAlex W2777406049

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    Why it matters

    Established practical integer-only inference and quantization-aware training for mobile deployment.

    Condensed from the expert lists' notes.

    The record

    First released
    2017 (from arXiv 1712.05877)
    Published
    2018
    Citations
    4,917 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.331 · computed rank 526 · consensus 0.37, must-read 0, citations percentile 0.628 (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.