BriefGPT.xyz
Dec, 2023
迈向无偏随机不确定性估计的一步
One step closer to unbiased aleatoric uncertainty estimation
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Wang Zhang, Ziwen Ma, Subhro Das, Tsui-Wei Weng, Alexandre Megretski...
TL;DR
该研究提出了一种新的数据不确定性估计方法,通过主动去噪处理观察数据,以更准确地近似实际数据不确定性。实验证明,与标准方法相比,我们提出的方法更接近实际数据不确定性。
Abstract
neural networks
are powerful tools in various applications, and quantifying their uncertainty is crucial for reliable decision-making. In the
deep learning
field, the uncertainties are usually categorized into al
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