On our subset of the Fisher English data, these tasks appear to have competing objectives: the best representations in one task are not necessarily the best in the other.
while SAGE yields the worst performance as a feature learner for topic ID, it is demonstrably superior to other low-dimensional learned representations in topic discovery.