Variance-Based Pruning for Accelerating and Compressing Trained Networks
arXiv:2507.12988v2 Announce Type: replace
Abstract: Increasingly expensive training of ever larger models such as Vision Transfomers motivate reusing the vast library of already trained state-of-the-art networks. However, their latency, high computati…