改善机器学习领域的想法：总结NeurIPS 2019回顾研讨会的讨论
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop
摘要：
本报告记录了改进机器学习领域的想法，这些想法来自NeurIPS 2019年ML回顾研讨会的讨论。报告的目的是更广泛地传播这些想法，并鼓励继续讨论该领域如何沿着这些轴线改进。我们关注研讨会上讨论最多的主题：鼓励替代形式的奖学金的激励措施，重新构建审查过程，学术界和工业界的参与，以及我们如何更好地训练计算机科学家作为科学家。研讨会视频可访问https://slideslive.com/neurips/west-114-115-retrospectives-a-venue-for-selfreflection-in-ml-research
英文摘要：
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
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
