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20222025
most citedMixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation

3 citations · 3 across the 8 of their papers we have counts for

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cs.LG2022★ 3 cited

MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation

Zhendong Liu, Wenyu Jiang, Min guo +1

As more and more artificial intelligence (AI) technologies move from the laboratory to real-world applications, the open-set and robustness challenges brought by data from the real…

cs.LG2022

Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models

Liu Zhendong, Wenyu Jiang, Yi Zhang +1

With the rapid development of eXplainable Artificial Intelligence (XAI), a long line of past work has shown concerns about the Out-of-Distribution (OOD) problem in perturbation-bas…