The machine learning community has always embraced new forms of scientific communication. Today, our science and practice is communicated through papers published in traditional journals, hosted on arXiv, supported by code repositories and community-driven efforts such as JMLR and JAIR, at conferences and through surveys, posters, blog posts, videos, demos, podcasts and interviews.
Source: https://deepmind.com/blog/announcements/distill-communicating-science-machine-learning
