2026
Batch Pruning by Activation Stability
ICLR 2026poster
Training deep neural networks remains costly in terms of data, time, and energy, limiting their deployment in large-scale and resource-constrained settings. To address this, we propose Batch Pruning by Activation Stability (B-PAS), a dynamic plug-in strategy that accelerates training by adaptively r…