PruneShift: A Framework for Evaluating Decision Reliability in Structured Pruning
PruneShift, an evaluation framework that separates broad predictive fidelity, fidelity near selector outputs, and the quality of the selected pruning decision, is introduced, showing why predictive fit, decision reliability, and pruning method quality require separate evidence.
Hao Ye, Gao-Peng Zhang
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