On Performance and Calibration of Natural Gradient Langevin Dynamics

On Performance and Calibration of Natural Gradient Langevin Dynamics

Producing deep neural network (DNN) models with calibrated confidence is essential for applications in many fields, such as medical image analysis, natural language processing, and robotics. Modern neural networks have been reported to be poorly calibrated compared with those from a decade ago. The...

書目詳細資料
Main Authors:	Hanif Amal Robbani, Alhadi Bustamam, Risman Adnan, Shandar Ahmad
格式:	Article
語言:	English
出版:	IEEE 2023-01-01
叢編:	IEEE Access
主題:	Natural gradient second-order optimization Bayesian deep learning Langevin dynamics confidence calibration predictive uncertainty
在線閱讀:	https://ieeexplore.ieee.org/document/10131934/

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