论文标题
repoducedpapers.org：公开教学和结构化机器学习可重复性
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility
论文作者
论文摘要
我们介绍了reproduceedpapers.org：一个开放的在线存储库，用于教学和结构机器学习可重复性。我们评估了学生在AI研究人员中进行在线繁殖存储库的附加价值。我们使用匿名的自我评估调查并获得了144个回应。结果表明，从事复制项目的学生对科学复制品有更多的价值，并成为更批判的思想家。学生和AI研究人员同意，我们的在线繁殖存储库很有价值。
We present ReproducedPapers.org: an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI researchers. We use anonymous self-assessment surveys and obtained 144 responses. Results suggest that students who do a reproduction project place more value on scientific reproductions and become more critical thinkers. Students and AI researchers agree that our online reproduction repository is valuable.
