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ResearchFormerly WizWand

Image Classification on Pet-37 (test)

0.32NLL (N=370)DE ELBO
0.250.72251.1951.6675Feb 3, 2025
Updated 8mo ago

Evaluation results

MethodLinks
DE ELBOBackbone=ConNeXt-Tiny, Model=L2-SP2025.020.320.22
MAP + GSBackbone=ConNeXt-Tiny, Model=L2-SP2025.020.380.18
DE ELBOBackbone=ResNet-50, Model=L2-zero2025.020.40.29
DE ELBOBackbone=ViT-B/16, Model=L2-SP2025.020.40.3
MAP + LaplaceBackbone=ResNet-50, Model=L2-SP2025.020.410.27
MAP + LaplaceBackbone=ResNet-50, Model=L2-zero2025.020.420.24
MAP + GSBackbone=ResNet-50, Model=PTYL2025.020.420.26
MAP + GSBackbone=ViT-B/16, Model=L2-SP2025.020.420.25
MAP + GSBackbone=ResNet-50, Model=Linear probing2025.020.460.3
MAP + GSBackbone=ResNet-50, Model=L2-zero2025.020.510.39
MAP + GSBackbone=ResNet-50, Model=PTYL (SSL)2025.020.510.24
DE ELBOBackbone=ResNet-50, Model=PTYL, Order=22025.020.510.24
MAP + GSBackbone=ResNet-50, Model=L2-SP2025.020.80.27
DE ELBOBackbone=ResNet-50, Model=L2-SP2025.021.340.41
MAP + LaplaceBackbone=ResNet-50, Model=PTYL2025.021.640.54
DE ELBOBackbone=ResNet-50, Model=PTYL, Order=12025.022.070.68