Before revision:   In addition, we propose two regularizers, namely NodeDAT and EmotionDL , to improve the robustness of our model against cross-subject EEG variations and noisy labels during recording .
After revision:  In addition, we propose two regularizers, namely node-wise domain adversarial training (NodeDAT) and emotion-aware distribution learning (EmotionDL) , to improve the robustness of our model against cross-subject EEG variations and noisy labels during recording .