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    Safety, alignment & interpretability· 2013

    Learning Fair Representations

    Rich Zemel (first author) · 2013

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    OpenAlex W2162670686

    On the reading lists

    Why it matters

    Pioneered learning representations that preserve utility while reducing protected-attribute information.

    Condensed from the expert lists' notes.

    The record

    First released
    2013 (from OpenAlex)
    Citations
    2,158 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Awards
    ICML Test of Time
    Named by
    both expert lists
    Score
    0.456 · computed rank 285 · consensus 0.45, must-read 0, citations percentile 0.489 (2010s · safety), awards 1, 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), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.