论文标题
改善机器学习领域的想法：总结《神经2019年回顾》研讨会的讨论
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
论文作者
论文摘要
本报告记录了改善机器学习领域的想法，这是由ML回顾展2019年的讨论引起的。该报告的目的是更广泛地传播这些想法，进而鼓励人们继续讨论该领域如何沿着这些轴进行改善。我们专注于研讨会上最讨论的主题：鼓励替代形式的奖学金，重新结构审查过程，学术界和行业的参与以及我们如何更好地培训计算机科学家作为科学家的激励措施。可以从https://slidelive.com/neurips/west-114-115-retrospectives-a-venue-for-selferfrection in-ml-research访问研讨会的视频。
This report documents ideas for improving the field of machine learning, which arose from discussions at the ML Retrospectives workshop at NeurIPS 2019. The goal of the report is to disseminate these ideas more broadly, and in turn encourage continuing discussion about how the field could improve along these axes. We focus on topics that were most discussed at the workshop: incentives for encouraging alternate forms of scholarship, re-structuring the review process, participation from academia and industry, and how we might better train computer scientists as scientists. Videos from the workshop can be accessed at https://slideslive.com/neurips/west-114-115-retrospectives-a-venue-for-selfreflection-in-ml-research
