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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों:	Hanif Amal Robbani, Alhadi Bustamam, Risman Adnan, Shandar Ahmad
स्वरूप:	लेख
भाषा:	English
प्रकाशित:	IEEE 2023-01-01
श्रृंखला:	IEEE Access
विषय:	Natural gradient second-order optimization Bayesian deep learning Langevin dynamics confidence calibration predictive uncertainty
ऑनलाइन पहुंच:	https://ieeexplore.ieee.org/document/10131934/

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