Article,

Research for Practice: Troubling Trends in Machine-Learning Scholarship

, and .
Communications of the ACM, 62 (6): 45--53 (May 2019)
DOI: 10.1145/3316774

Abstract

Some ML papers suffer from flaws that could mislead the public and stymie future research.

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