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Modern machine learning techniques, including deep learning, are rapidlybeing applied, adapted, and developed for high energy physics. Given the fastpace of this research, we have created a living review with the goal ofproviding a nearly comprehensive list of citations for those developing andapplying these approaches to experimental, phenomenological, or theoreticalanalyses. As a living document, it will be updated as often as possible toincorporate the latest developments. A list of proper (unchanging) reviews canbe found within. Papers are grouped into a small set of topics to be as usefulas possible. Suggestions and contributions are most welcome, and we provideinstructions for participating.

A Living Review of Machine Learning for Particle Physics