Before revision:  We observe that our algorithm trains stably and avoids mode collapse, while achieving a training time per iteration and memory requirement similar to gradient descent-ascent.
After revision:  We observe that our algorithm trains stably and avoids mode collapse, and achieves a training time per iteration and memory requirement similar to gradient descent-ascent.