I think Tensorflow made a bad move in academia by being so damn difficult to use on their earlier versions. Sure, their performance was always better than PyTorch's, but when you are an overworked PhD student you care less about your code being efficient and more about your code working at all.
Word got around that debugging PyTorch was relatively painless, those earlier models made it into publications, and now here we are.
Word got around that debugging PyTorch was relatively painless, those earlier models made it into publications, and now here we are.