Before revision:  Recent work has proposed using data augmentation--that is, generating training examples on which these weak features fail--as a means of encouraging models to prefer the stronger features.
After revision:  Recent work has proposed using data augmentation--that is, generating training examples where the superficial features fail, as a means of encouraging models to prefer the stronger features.