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Labels, Information, and Computation: Efficient Learning Using Sufficient Labels
We call this statistic "sufficiently-labeled data" and prove its sufficiency and efficiency for finding the optimal hidden representations, on which competent classifier heads can be trained using as few as a single randomly-chosen fully-labeled example per class.
What is the Machine Learning?
Applications of machine learning tools to problems of physical interest are often criticized for producing sensitivity at the expense of transparency.
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