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ResearchFormerly WizWand

Model Merging on Sustainability to large-scale tasks

91.4Average Normalized AccuracyDOGE AM
51.8862.1472.482.66Aug 5, 2025
Updated 6mo ago

Evaluation results

MethodLinks
DOGE AMBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.0891.4
DOGE AMBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.0890.7
Iso-CTSBackbone=ViT-B/32, Method Category=Data-Free2025.0890.4
TSV-MBackbone=ViT-B/32, Method Category=Data-Free2025.0890
RegMean++Backbone=ViT-B/32, Method Category=Training-Free2025.0889.7
Iso-CBackbone=ViT-B/32, Method Category=Data-Free2025.0889.4
RegMean++Backbone=ViT-B/32, Method Category=Training-Free2025.0888.7
RegMeanBackbone=ViT-B/32, Method Category=Training-Free2025.0888.3
Layer-wise AdaMergingBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.0887.3
TSV-MBackbone=ViT-B/32, Method Category=Data-Free2025.0887.1
Layer-wise AdaMergingBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.0886.9
RegMeanBackbone=ViT-B/32, Method Category=Training-Free2025.0886.7
DOGE TABackbone=ViT-B/32, Method Category=Data-Free2025.0886.4
Iso-CTSBackbone=ViT-B/32, Method Category=Data-Free2025.0884.4
Iso-CBackbone=ViT-B/32, Method Category=Data-Free2025.0881.4
DOGE TABackbone=ViT-B/32, Method Category=Data-Free2025.0879.8
TIES-MergingBackbone=ViT-B/32, Method Category=Data-Free2025.0878.2
Fisher MergingBackbone=ViT-B/32, Method Category=Training-Free2025.0876.6
Model SoupsBackbone=ViT-B/32, Method Category=Data-Free2025.0875.3
Fisher MergingBackbone=ViT-B/32, Method Category=Training-Free2025.0873.8
TIES-MergingBackbone=ViT-B/32, Method Category=Data-Free2025.0873
Model SoupsBackbone=ViT-B/32, Method Category=Data-Free2025.0871.9
Task ArithmeticBackbone=ViT-B/32, Method Category=Data-Free2025.0865.4
Task ArithmeticBackbone=ViT-B/32, Method Category=Data-Free2025.0853.4