Training a ResNet-18 with smoothness penalties on weights, then compressing via truncated SVD, keeps 91% CIFAR-10 accuracy at 70% sparsity with no post-compression fine-tuning.
Slicegpt: Compress large language models by deleting rows and columns
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Smooth Model Compression without Fine-Tuning
Training a ResNet-18 with smoothness penalties on weights, then compressing via truncated SVD, keeps 91% CIFAR-10 accuracy at 70% sparsity with no post-compression fine-tuning.