Yunlong Kong

Enhancing Out-of-Distribution Detection through Dynamic Activation Function

In the fields of machine learning and deep learning, ensuring model robustness and reliability is critical. One major challenge is the handling of Out-of-Distribution (OOD) samples, the presence of In-Distribution (ID) noise in existing OOD datasets. It can increase the risk of misclassification and…