LAUSR

Rule-Enhanced Active Learning for Semi-Automated Weak Supervision

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1 Published in 2022 at "Artificial intelligence"

DOI: 10.3390/ai3010013

Abstract: A major bottleneck preventing the extension of deep learning systems to new domains is the prohibitive cost of acquiring sufficient training labels. Alternatives such as weak supervision, active learning, and fine-tuning of pretrained models reduce… read more here.

Keywords: active learning; weak supervision; supervision; labeling functions ... See more keywords