Rule-Enhanced Active Learning for Semi-Automated Weak Supervision
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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 this burden... ...
