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cs.LG2021
Sharpness-Aware Minimization with Dynamic Reweighting
Wenxuan Zhou, Fangyu Liu, Huan Zhang +1
Deep neural networks are often overparameterized and may not easily achieve model generalization. Adversarial training has shown effectiveness in improving generalization by regula…
cs.LG2021★ 2 cited
Structure-Aware Label Smoothing for Graph Neural Networks
Yiwei Wang, Yujun Cai, Yuxuan Liang +5
Representing a label distribution as a one-hot vector is a common practice in training node classification models. However, the one-hot representation may not adequately reflect th…