Data-Efficient Machine Learning - insideBIGDATA

From Quadrant (a D-Wave business), this whitepaper "Data-Efficient Machine Learning" describes a practical impediment to the application of deep neural network models when large training data sets are unavailable. Encouragingly however, it is shown that recent machine learning advances make it possible to obtain the benefits of deep neural networks by making more efficient use of training data that most practitioners do have. Quadrant leverages generative machine learning, which requires much less labeled data than common discriminative models. This is incredibly useful in countless applications, including medical imaging which is often limited to relatively small data sets (i.e. For a first case study, Siemens Healthineers partnered with Quadrant to identify surgical tools used in cataract surgery with 99.71% accuracy.