  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
