most citedPractical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples

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cs.LG2021★ 2 cited

Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples

Xuanyu Wu, Xuhong Li, Haoyi Xiong +3

Training images with data transformations have been suggested as contrastive examples to complement the testing set for generalization performance evaluation of deep neural network…

cs.LG2021

Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond

Xuhong Li, Haoyi Xiong, Xingjian Li +5

Deep neural networks have been well-known for their superb handling of various machine learning and artificial intelligence tasks. However, due to their over-parameterized black-bo…