I'm not sure that the bias is only due to inexperienced reviewers. For example, even at a specialized venue like CoLLAs (I also work in CL), where you could send more esoteric research, you still see most people doing the usual rehearsal+class-incremental stuff. Most experienced researchers are also quite happy with the current state of the field. They may agree with your view, but their actual research and vision is much more aligned with the "popular" CL research.

In general, the whole deep learning field tends to oversimplify practical problems and experimental design in favor of overcomplicating methods. This happens at all the levels.