Model Merging on Sustainability to large-scale 8 tasks
94.8Avg Normalized AccuracyDOGE AM
Evaluation Results
| Method | Links | |
|---|---|---|
| DOGE AMBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.08 | 94.8 | |
| RegMean++Backbone=ViT-B/32, Method Category=Training-Free2025.08 | 93.1 | |
| TSV-MBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 91.6 | |
| Iso-CTSBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 91.6 | |
| Iso-CBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 91.3 | |
| Layer-wise AdaMergingBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.08 | 91.2 | |
| RegMeanBackbone=ViT-B/32, Method Category=Training-Free2025.08 | 90.9 | |
| DOGE TABackbone=ViT-B/32, Method Category=Data-Free2025.08 | 89 | |
| TIES-MergingBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 79.6 | |
| Fisher MergingBackbone=ViT-B/32, Method Category=Training-Free2025.08 | 78.2 | |
| Task ArithmeticBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 74.3 | |
| Model SoupsBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 73.7 |