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This work reveals an evidential signal that emerges from the uncertainty value in Evidential Deep Learning (EDL).
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Evidential Deep Learning to Quantify Classification Uncertainty. In Advances in Neural Information Processing Systems , Vol. 31. Curran Associates, Inc
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Decoupled Weight Decay Regularization
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Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
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Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff.. In AAAI . 2429–2437
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Uncertainty-Aware Deep Classifiers Using Generative Models.. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. 5620–5627
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