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Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3209466
Abstract: Data-centric AI has emerged as a new research area to systematically engineer the data to land AI models for real-world applications. As a core method for data-centric AI, data programming helps experts inject domain knowledge…
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Keywords:
scale;
concept programming;
labeling functions;
visual analytics ... See more keywords
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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…
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Keywords:
active learning;
weak supervision;
supervision;
labeling functions ... See more keywords