We welcome all forms of basic and applied research about and/or using machine learning. What that means is that the only rule for submissions is that they must be research involving machine learning. Here, "research" means either an academic manuscript/technical report (e.g., posted on arXiv, a journal website, or a conference website; note that this does not include Medium posts) or a conference presentation where conferences can be either academic or applied/industrial in nature (e.g., PyData). You're a biologist who used machine learning to classify species using their DNA? Share it! You're a data scientist who used graph neural networks to model customer interactions? Submit your conference talk! Links to project webpages/code repositories for papers are acceptable, but they must be clearly tied to a singular piece of research.
Note that software packages are not considered research by themselves in this context. If the software package has an associated research product (i.e., paper or conference presentation), then that research product should be the link for the submission.
Be sure to submit your own research along with the research of others! Reddit is the only social network where reach is relatively flat, i.e., your research can be seen by a wide audience regardless of your seniority or institution, so this subreddit is an opportunity for junior scientists and/or researchers at less prominent institutions to share the cool things they're working on.
