Sophisticated mechanisms and training strategies can be used to enhance distinctly supervised NRE models. Different architectures and training strategies can be combined to construct hybrid frameworks. A soft-label scheme can be adopted by changing unconfident labels during training. Reinforcement learning and adversarial training can also be adopted in DS.