replacement
ebd9629fc3ae5e9f6611e2ee05a31cef-Supplemental.pdf
Dataset (1)consists ofvarious lines in the image at a discrete set of angles, and the classification task is to detect the angle of 14 the line. Some images from the test set ofclasses 80 and 100 are multiplied with apermutation matrix to randomly permute rows and columns.
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Adaptive Sampling for Efficient Softmax Approximation
The softmax function is ubiquitous in machine learning and optimization applications.
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Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification Jan Schuchardt
Our tight mechanism-specific bounds outperform tight mechanism-agnostic bounds and classic group privacy results.
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