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cs.LG2022
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Networks
Seongjin Park, Haedong Jeong, Tair Djanibekov +3
In general, Deep Neural Networks (DNNs) are evaluated by the generalization performance measured on unseen data excluded from the training phase. Along with the development of DNNs…
cs.LG2020★ 7 cited
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes
Sohee Cho, Ginkyeng Lee, Wonjoon Chang +1
Recently deep neural networks demonstrate competitive performances in classification and regression tasks for many temporal or sequential data. However, it is still hard to underst…