Jointly fine-tuning and compressing a ViT into pruned low-rank factors with progressive distillation achieves better accuracy for smaller parameter counts than sequential fine-tune-then-compress pipelines on CIFAR-100.
Slaying the hydra: Parameter-efficient hyper networks with low-displacement rank adaptation
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TuneComp: Joint Fine-tuning and Compression for Large Foundation Models
Jointly fine-tuning and compressing a ViT into pruned low-rank factors with progressive distillation achieves better accuracy for smaller parameter counts than sequential fine-tune-then-compress pipelines on CIFAR-100.