Exponential Torque Pruning applies an exponential penalty on network modules based on their distance from a pivot, improving compression accuracy trade-offs over linear Torque pruning.
To compress, or not to compress: Characterizing deep learning model compression for embedded inference
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Towards Universal & Efficient Model Compression via Exponential Torque Pruning
Exponential Torque Pruning applies an exponential penalty on network modules based on their distance from a pivot, improving compression accuracy trade-offs over linear Torque pruning.