The Rise of the Tagging Machines

Machine Learning techniques have been used at the LHC for a long time. Jet 
sub-structure has become an especially active field for new ideas in this  
direction. I will discuss how jet sub-stucture has become an established field 
in the last decade, what the current challenges are, and in what sense machine 
learning is the next logical step. Specifially, top tagging has many applications 
in searches for physics beyond the Standard Model. It allows us to to test 
different approaches, to benchmark new tools, and most importantly to understand 
how deep learning analyses actually work. This makes it a role model for the 
conceptual progress we will see in LHC analysis ideas and techniques in the coming 
years.