Before revision:  In contrast, this paper aims to trim down both the training memory overhead and the inference complexity, without scarifying the achievable accuracy.
After revision:  In contrast, this paper aims to trim down both the training memory overhead and the inference complexity, without sacrificing the achievable accuracy.