One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Benchmark Model Rank Results
image-classification-on-vtab-1k-group-meanGLoRA (0.86M)#1Accuracy: 78.0
monocular-depth-estimation-on-clevr-distanceGLoRA ViT-B/16 (VTAB-1k)#3Accuracy: 67.3
object-counting-on-clevr-countGLoRA ViT-B/16 (VTAB-1k)#4Accuracy: 83.1