  Modern machine learning techniques, including deep learning, are rapidly
being applied, adapted, and developed for high energy physics. Given the fast
pace of this research, we have created a living review with the goal of
providing a nearly comprehensive list of citations for those developing and
applying these approaches to experimental, phenomenological, or theoretical
analyses. As a living document, it will be updated as often as possible to
incorporate the latest developments. A list of proper (unchanging) reviews can
be found within. Papers are grouped into a small set of topics to be as useful
as possible. Suggestions and contributions are most welcome, and we provide
instructions for participating.
