New particles beyond the Standard Model might be produced with a very high boost, for instance if they result from the decay of a heavier particle. If the former decay hadronically, then their signature is a single massive fat jet which is difficult to separate from QCD backgrounds. Jet substructure and machine learning techniques allow for the discrimination of many specific boosted objects from QCD, but the scope of possibilities is very large, and a suite of dedicated taggers may not be able to cover every possibility.
Different approaches to this challenge have been recently developed. More specifically, the works published in https://arxiv.org/abs/1808.08979 and https://arxiv.org/abs/1709.01087 will be presented.