摘要：
Ishida T., Yamane I., Sakai T., Niu G. and Sugiyama M. Do we need zero training loss after achieving zero training error? In International Conference 阅读全文
摘要：
Flooding-X: improving bert’s resistance to adversarial attacks via loss-restricted fine-tuning. 概 作者认为通过 flooding 能够使得 loss landscape 平滑, 这有利于抵抗对抗攻击. 阅读全文
摘要：
[1] Monti F., Frasca F., Eynard D., Mannion D. and Bronstein M. M. Fake news detection on social media using geometric deep learning. In International 阅读全文