The title reads to me like hyperbole. The implementation can differ, they got time to refactor/optimize it after the publication. But they can't probably revis

The title reads to me like hyperbole. The implementation can differ, they got time to refactor/optimize it after the publication. But they can't probably revise the paper itself. As long as the code is there and can produce said/better result, then it is probably your responsibility to keep the differences in check. It is actually quite common for deep learning papers overall, the github repo gets updated after the paper is out, and you will find the divergence lying there.