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Classification on PneumoniaMNIST

98.28AccuracyDUCS
23.285642.755362.22581.6947Jul 25, 2025Sep 7, 2025Oct 22, 2025Dec 6, 2025Jan 19, 2026Mar 5, 2026Apr 19, 2026

Evaluation results

MethodLinks
DUCSBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0398.28—
DUCSBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0397.71—
EVABackbone=ResNet-18, Selection Ratio (beta)=70%2026.0397.66—
EVABackbone=ResNet-18, Selection Ratio (beta)=50%2026.0397.46—
DUCSBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0397.33—
Full datasetBackbone=ResNet-182026.0397.27—
EntropyBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0397.07—
EL2NBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0397.07—
EVABackbone=ResNet-18, Selection Ratio (beta)=30%2026.0397.07—
AUMBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0396.68—
RandomBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0396.48—
ForgettingBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0396.48—
AUMBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0396.29—
AUMBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0396.29—
MedViT-SResolution=2242025.0796.199.5
EntropyBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0396.09—
RandomBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0395.9—
EL2NBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0395.9—
RandomBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0395.7—
ForgettingBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0395.7—
EntropyBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0395.7—
ForgettingBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0395.52—
ModerateBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0395.33—
Google AutoML Vision2026.0294.699.1
EL2NBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0394.34—
EVABackbone=ResNet-18, Selection Ratio (beta)=10%2026.0394.34—
ModerateBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0394.23—
TDDSBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0394.18—
DUCSBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0393.32—
CCSBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0392.97—
RandomBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0392.77—
MAIL-RN18Base network=ResNet182026.0292.4998.83
MAIL-M2Base network=MobileNetV22026.0292.0598.6
DRIFA-Net2026.0291.8398.24
TDDSBackbone=ResNet-18, Selection Ratio (beta)=50%2026.0391.67—
MFMSA2026.0291.4998.15
Gloria2026.0291.2597.88
M3Att2026.0291.2597.82
CCSBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0391.21—
VICRegBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0491.03—
CCSBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0391.02—
CCSBackbone=ResNet-18, Selection Ratio (beta)=70%2026.0391.02—
BYOLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0490.99—
ModerateBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0390.82—
MTTU-Net2026.0290.4797.79
DDA-Net2026.0290.2597.25
TDDSBackbone=ResNet-18, Selection Ratio (beta)=30%2026.0390.02—
NAT2026.0289.9597.12
AMIMV-SSLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0489.9—
POTTER2026.0289.8997.74
MuMu2026.0289.8497.75
HAMLET2026.0289.4297.65
SymmFlowResolution=282025.0789.491.6
LatMSFResolution=2242025.0789.494.4
SimCLRBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0488.81—
ResNet-50Resolution=2242026.0288.496.2
ResNet-50Resolution=2242025.0788.496.2
NNCLRBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0488.24—
ModerateBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0388.14—
Barlow TwinsBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0488.08—
MSFResolution=282025.078895.2
AutoKeras2026.0287.894.7
AutoKerasResolution=282025.0787.894.7
MoCoV3Backbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0487.34—
DINOBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0487.24—
ReSSLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.0487.21—
ResNet-18Resolution=2242026.0286.495.6
ResNet-18Resolution=2242025.0786.495.6
auto-sklearn2026.0285.594.2
auto-sklearnResolution=282025.0785.594.2
ResNet-18Resolution=282026.0285.494.4
ResNet-50Resolution=282026.0285.494.8
ResNet-18Resolution=282025.0785.494.4
ResNet-50Resolution=282025.0785.494.8
TDDSBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0382.85—
G-LoG bi-filtration (MLP)Sigma (σ)=0.52026.0282.591
G-LoG bi-filtration (MLP)Sigma (σ)=12026.0282.590.6
G-LoG bi-filtration (MLP)Sigma (σ)=02026.0281.790.7
BioVLMTrain Params=30K2026.0479.65—
G-LoG bi-filtration (MLP)Sigma (σ)=1.52026.0279.589.1
Topo-Med (MLP)2026.0276.284.5
CoCoOpTrain Params=44K2026.0476.01—
PromptSRCTrain Params=69K2026.0475.06—
MaPLeTrain Params=5.3M2026.0474.81—
KgCoOpTrain Params=3K2026.0473.24—
CoOpTrain Params=3K2026.0472.7—
TCPTrain Params=0.5M2026.0472.48—
EntropyBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0371.48—
BiomedCoOpTrain Params=3K2026.0470.51—
BioMedCLIPTrain Params=02026.0459.46—
ProGradTrain Params=3K2026.0457.64—
ForgettingBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0355.86—
AUMBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0338.87—
EL2NBackbone=ResNet-18, Selection Ratio (beta)=10%2026.0326.17—
AMIMV-SSLBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04—98.19
Barlow TwinsBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04—92.38
BYOLBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04—97.45
DINOBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04—90.29
MoCoV3Backbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04—98.39
NNCLRBackbone=ResNet-50, Initialization=random, Training Protocol=self-supervised2026.04—94.27