I find that most of the Bayesian 'militants', if you will, aren't actually doing research using Bayesian methods, but are more recent converts writing blog posts about it. Most researchers I know who use Bayesian methods in research aren't even particularly dogmatic about it, and don't go around writing essays about the Evil Frequentists and Oppression of Bayesianism.

In fact, most (at least in my circle) use frequentist methods as well, as well as methods that don't fall comfortably into either camp. In ML it's particularly common for the same researcher to use any/all of kernel density estimation, Bayesian graphical models, SVMs, etc., depending on the problem.