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06/03/2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Modern neural networks are known to give overconfident prediction for ou...
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12/08/2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation
As more and more artificial intelligence (AI) technologies move from the...
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09/27/2022
Consistent covariances estimation for stratum imbalances under marginal design for covariate adaptive randomization
Marginal design, also called as the minimization method, is a popular ap...
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06/22/2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models
With the rapid development of eXplainable Artificial Intelligence (XAI),...
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06/15/2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
Detecting out-of-distribution (OOD) samples is crucial to the safe deplo...
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12/06/2021