KEN (Kernel density Estimator for Neural Network compression): a straightforward, universal and unstructured pruning algorithm based on Kernel Density Estimation (KDE) for transformer compression.
Extreme performance: Supports fast computation and rendering of millions of data points. Multidimensional analysis: Automatically analyzes and presents multidimensional data. Strong expressiveness: ...
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