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cs.NE2022
Hebbian Continual Representation Learning
Paweł Morawiecki, Andrii Krutsylo, Maciej Wołczyk +1
Continual Learning aims to bring machine learning into a more realistic scenario, where tasks are learned sequentially and the i.i.d. assumption is not preserved. Although this set…
cs.LG2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
Bartosz Wójcik, Jacek Grela, Marek Śmieja +2
Deep neural networks present impressive performance, yet they cannot reliably estimate their predictive confidence, limiting their applicability in high-risk domains. We show that…