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  • Jonathan Von Stroh, CACI
    gtc-dc 2019
    We’ll prove that, though data is everywhere, bigger datasets aren’t always better. The most convenient sources of labeled data are often subject to extreme sampling biases. We’ll introduce an approach to active learning and dataset quality analysis based on unsupervised learning.