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A comprehensive survey on evidential deep learning and its applications
Reliable uncertainty estimation has become a crucial requirement for the industrial
deployment of deep learning algorithms, particularly in high-risk applications such as …
deployment of deep learning algorithms, particularly in high-risk applications such as …
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
M Chen, J Gao, C Xu - arxiv preprint arxiv:2410.00393, 2024 - arxiv.org
Evidential Deep Learning (EDL) is an emerging method for uncertainty estimation that
provides reliable predictive uncertainty in a single forward pass, attracting significant …
provides reliable predictive uncertainty in a single forward pass, attracting significant …