Before revision:  In addition to being easy to implement and adding no cost at inference, our models outperform much costlier data augmented deep ensembles . We open a new line of research complementary to previous works, as we operate in features and  better leverage the expressiveness of large networks  .
After revision:  In addition to being easy to implement and adding no cost at inference, our models outperform much costlier data augmented deep ensembles , without the inference and memory overheads. As we operate in features and better leverage the expressiveness of large networks .