I was wondering if the different notations of the softmax input mean different things especially about the size of the output. For example, in the paper Pointer Networks, it sometimes state the input of the softmax with the subscript j,
and in another equation, it removed the subscript
Does the one with the subscript j imply that we produce a distribution over the elements of each ui and the one without the j subscript mean a distribution over all the ui vectors?
I thought it could be a typo, but it happened again in another paper Reinforcement Learning for Solving the Vehicle Routing Problem. Here: