Jan. 21, 2022, 2:10 a.m. | Yingni Wang, Kehong Yuan

cs.LG updates on arXiv.org arxiv.org

Although deep neural networks (DNN) have achieved state-of-the-art
performance in various fields, some unexpected errors are often found in the
neural network, which is very dangerous for some tasks requiring high
reliability and high security.The non-transparency and unexplainably of CNN
still limit its application in many fields, such as medical care and finance.
Despite current studies that have been committed to visualizing the decision
process of DNN, most of these methods focus on the low level and do not take …

arxiv cognitive graph graph neural networks networks neural networks

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