The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality

Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein. The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. In Yoshifumi Kitamura, Aaron Quigley, Katherine Isbister, Takeo Igarashi, Pernille Bjørn, Steven Mark Drucker, editors, CHI '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama, Japan, May 8-13, 2021. ACM, 2021. [doi]

Abstract

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