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...

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Chi tiết về thư mục
Những tác giả chính:	Hanif Amal Robbani, Alhadi Bustamam, Risman Adnan, Shandar Ahmad
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	IEEE 2023-01-01
Loạt:	IEEE Access
Những chủ đề:	Natural gradient second-order optimization Bayesian deep learning Langevin dynamics confidence calibration predictive uncertainty
Truy cập trực tuyến:	https://ieeexplore.ieee.org/document/10131934/

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