A sum of low-rank Kronecker adapters plus channel-wise re-scaling gives small average accuracy gains over prior PEFT methods on visual classification benchmarks.
Sherl: Synthesizing high accuracy and efficient memory for resource- limited transfer learning,
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KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification
A sum of low-rank Kronecker adapters plus channel-wise re-scaling gives small average accuracy gains over prior PEFT methods on visual classification benchmarks.