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cs.LG2026
How Sparsity Allocation Shapes Label-Free Post-Pruning Recoverability
Qishi Zhan, Minxuan Hu, Liang He
Unstructured magnitude pruning at high sparsity can reduce neural network accuracy to near-random performance, while labeled retraining may be unavailable in practical deployment s…
cs.LG2026
Adaptive Signal Resuscitation: Channel-wise Post-Pruning Repair for Sparse Vision Networks
Qishi Zhan, Ziheng Chen, Minxuan Hu
One-shot magnitude pruning can cause severe accuracy collapse in the high-sparsity regime, even when the pruning mask preserves the largest weights. We argue that this failure refl…