At least based on my observations it's been common practice in ML papers for some years already. Usually releasing Github hosted project page and a repository with the same information, then releasing the code on that repo afterwards at some point.
I don't feel that's an issue. A lot more people are able to see what's happening on the bleeding edge than if they'd just release the paper without accompanying demo page, and faster than if they'd wait for the code to be ready for release? Of course one can argue that "they should just release whatever code they have instantly", but that's their choice if they want to clean it up, remove secrets etc.
I don't feel that's an issue. A lot more people are able to see what's happening on the bleeding edge than if they'd just release the paper without accompanying demo page, and faster than if they'd wait for the code to be ready for release? Of course one can argue that "they should just release whatever code they have instantly", but that's their choice if they want to clean it up, remove secrets etc.