A researcher on r/MachineLearning argues that current ML conference policies on paper length and self-containment unfairly penalize theoretical papers. The author suggests that reviewers often reject papers based on a lack of prerequisite knowledge or the perceived difficulty of terminology, rather than the impact of the work. This is exacerbated by rules that require papers to be self-contained and discourage reading appendices, leading to reviewer fatigue and arbitrary rejections. AI
IMPACT Could influence future discussions on academic publishing standards for AI research.
RANK_REASON The item is a personal opinion piece on a common issue in academic publishing, not a new release or significant event.
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