Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization

Abstract: Deep Neural Networks (DNNs), despite their tremendous success in recent years, could still cast doubts on their predictions due to the intrinsic uncertainty associated with their learning process. ...
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