with generative adversarial networks we usually see is a collapse to a much smaller number of modes than the all can represent that makes me believe that the problem is really that we're doing max-min rather than that we're using the wrong cost we often see that generative adverts on networks work best on tasks that are conditional where we take an input and map it to some output and we're reasonably happy with the result as long as the output looks acceptable and in particular we may not really notice if there's low diversity