Uncertainty Regularized Evidential Regression
Published in AAAI Conference on Artificial Intelligence (AAAI 2024, oral), 2024
We propose an uncertainty‑regularized evidential regression model that fixes the zero‑gradient issue in evidential learning and improves reliability for medical prediction tasks. :contentReference[oaicite:4]{index=4}
Recommended citation: Ye, K.*, Chen, T., Wei, H., & Zhan, L. (2024). Uncertainty Regularized Evidential Regression. AAAI 2024 (oral).
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