ReproducibilityChecklist-v2.0

The Machine Learning Reproducibility Checklist (v2.0, Apr.7 2020) For all models and algorithms presented, check if you include: q A clear description of the mathematical setting, algorithm, and/or model. q A clear explanation of any assumptions. q An analysis of the complexity (time, space, sample size) of any algorithm. For any theoretical claim, check if you include: q A clear statement of the

[wanchan-daisuki]

機械学習の再現性のためのチェックリスト。NeurIPSではこのチェックリストを満たすことが求められているんだって。