Effective Model Pruning: Measure The Redundancy of Model Components
Effective Model Pruning (EMP) introduces a universal adaptive threshold based directly on score distribution to decide which model components to keep. It automatically determines the effective number of significant contributors, Neff, eliminating manual tuning. This method is architecture-agnostic and provides performance guarantees by relating the retained sample size to theoretical bounds.