Let's take an example: his "unnormalised linear Transformer," a neural network with "self-attention" published in 1992 under another name. It wasn't just an idea, it was implemented and tested in experiments. However, few people cared, because the computational hardware was so slow, and such networks were not yet practical. Decades later, the basic concepts were "reinvented" and renamed, and today they are really useful on much faster computers. Unquestionably, however, their origins must be cited by those who are applying them.
Why are some people here even debating the generally recognised rules of scientific publishing mentioned in the paper:
> The deontology of science requires: If one "reinvents" something that was already known, and only becomes aware of it later, one must at least clarify it later, and correctly give credit in all follow-up papers and presentations.
Why are some people here even debating the generally recognised rules of scientific publishing mentioned in the paper:
> The deontology of science requires: If one "reinvents" something that was already known, and only becomes aware of it later, one must at least clarify it later, and correctly give credit in all follow-up papers and presentations.