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20232025
most citedYour Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector

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stat.ML2023

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry

Tim Z. Xiao, Weiyang Liu, Robert Bamler

Bayesian neural networks (BNNs) are a principled approach to modeling predictive uncertainties in deep learning, which are important in safety-critical applications. Since exact Ba…