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ResearchFormerly WizWand

Classification on MNIST (test) (Accuracy)

99.4AccuracyResNet50
5.38429.79254.278.608Nov 29, 2024Mar 6, 2025Jun 11, 2025Sep 16, 2025Dec 22, 2025Mar 29, 2026Jul 4, 2026
Updated 3mo ago

Evaluation results

MethodLinks
ResNet50Backbone=ResNet502024.1199.4
Net2VecBackbone=ResNet502024.1199.4
CRAFTBackbone=ResNet502024.1199.4
NAVESetting=N4, Backbone=ResNet502024.1199.3
NAVESetting=N34, Backbone=ResNet502024.1199.1
NAVESetting=N234, Backbone=ResNet502024.1198.7
ANT-HardTraining Time=538s, Number of Seeds=102026.0598.14
ANT-SoftNumber of Seeds=102026.0598.14
RFK=16, Evaluation Protocol=linear probe2026.0797.07
DTSemNetNf=780, Nc=10, Ns=48000, Height=82026.0596.16
DTSemNetTraining Time=306s, Number of Seeds=102026.0596.16
PIEFS-offSupervision=supervised, K=16, Evaluation Protocol=linear probe2026.0795.41
TAONf=780, Nc=10, Ns=48000, Height=82026.0595.05
PIEFS-trotterSupervision=supervised, K=16, Evaluation Protocol=linear probe2026.0794.94
PIEFS-diagSupervision=supervised, K=16, Evaluation Protocol=linear probe2026.0794.91
DGTNf=780, Nc=10, Ns=48000, Height=82026.0594
LRK=16, Evaluation Protocol=linear probe2026.0792.2
AdLNetTarget feature budget k=502026.0789.4
FISTA-NetTarget feature budget k=502026.0789
Vanilla LassoNetTarget feature budget k=502026.0788.5
Deep-LassoTarget feature budget k=502026.0786
PCA+LRK=16, Evaluation Protocol=linear probe2026.0785.94
CARTNf=780, Nc=10, Ns=48000, Height=no predefined height2026.0585.59
PrivUnit2 + PAm=32, epsilon=10.02026.0584.27
StandardModel=RFC2025.0583
NeuralEF*Supervision=unsupervised, K=16, Evaluation Protocol=linear probe, Source=rerun of Deng et al., 20222026.0782.52
StandardModel=NNC2025.0582
StandardModel=kNNC2025.0578
PrivUnitG + PAm=32, epsilon=10.02026.0576.47
MSVModel=kNNC2025.0576
MSVModel=NNC2025.0575
PrivUnit2 + PAm=32, epsilon=7.52026.0572.52
PrivUnitG + PAm=32, epsilon=7.52026.0565.78
PrivUnit2 + PAm=32, epsilon=5.02026.0552.14
PrivUnitG + PAm=32, epsilon=5.02026.0548.61
PrivUnit2 + PAm=32, epsilon=4.52026.0547.2
PrivUnitG + PAm=32, epsilon=4.52026.0544.32
PrivUnit2 + PAm=32, epsilon=4.02026.0542.03
PrivUnitG + PAm=32, epsilon=4.02026.0539.89
PrivUnit2 + PAm=32, epsilon=3.52026.0536.74
Laplace + PAm=32, epsilon=10.02026.0536.66
Task-Awarem=3, epsilon=10.02026.0535.61
PrivUnitG + PAm=32, epsilon=3.52026.0535.38
PrivUnit2 + PAm=32, epsilon=3.02026.0531.74
PrivUnitG + PAm=32, epsilon=3.02026.0530.83
Random yModel=RFC2025.0529
Task-Awarem=3, epsilon=7.52026.0528.57
Laplace + PAm=32, epsilon=7.52026.0528.46
PrivUnit2 + PAm=32, epsilon=2.52026.0526.96
CW + PA w/o boundingm=32, epsilon=10.02026.0526.85
PrivUnitG + PAm=32, epsilon=2.52026.0526.46
PrivUnit2 + PAm=32, epsilon=2.02026.0522.63
PrivUnitG + PAm=32, epsilon=2.02026.0522.36
CW + PA w/o boundingm=32, epsilon=7.52026.0521.73
Laplace + PAm=32, epsilon=5.02026.0520.91
Task-Awarem=3, epsilon=5.02026.0520.31
Laplace + PAm=32, epsilon=4.52026.0519.56
PrivUnit2 + PAm=32, epsilon=1.52026.0518.75
PrivUnitG + PAm=32, epsilon=1.52026.0518.62
Laplace + PAm=32, epsilon=4.02026.0518.28
Task-Awarem=3, epsilon=4.52026.0518.01
CW + PA w/o boundingm=32, epsilon=5.02026.0517.06
Laplace + PAm=32, epsilon=3.52026.0517.04
Task-Awarem=3, epsilon=4.02026.0516.5
CW + PA w/o boundingm=32, epsilon=4.52026.0516.23
Laplace + PAm=32, epsilon=3.02026.0515.84
Task-Awarem=3, epsilon=3.52026.0515.6
CW + PA w/o boundingm=32, epsilon=4.02026.0515.42
PrivUnit2 + PAm=32, epsilon=1.02026.0515.36
PrivUnitG + PAm=32, epsilon=1.02026.0515.28
Laplace + PAm=32, epsilon=2.52026.0514.74
CW + PA w/o boundingm=32, epsilon=3.52026.0514.66
Task-Awarem=3, epsilon=3.02026.0514.07
CW + PA w/o boundingm=32, epsilon=3.02026.0513.92
Laplace + PAm=32, epsilon=2.02026.0513.69
CW + PA w/o boundingm=32, epsilon=2.52026.0513.23
Task-Awarem=3, epsilon=2.52026.0512.85
Laplace + PAm=32, epsilon=1.52026.0512.71
CW + PA w/o boundingm=32, epsilon=2.02026.0512.53
PrivUnit2 + PAm=32, epsilon=0.52026.0512.5
PrivUnitG + PAm=32, epsilon=0.52026.0512.42
CW + PA w/o boundingm=32, epsilon=1.52026.0511.91
Task-Awarem=3, epsilon=2.02026.0511.8
Laplace + PAm=32, epsilon=1.02026.0511.78
CW + PA w/o boundingm=32, epsilon=1.02026.0511.27
Task-Awarem=3, epsilon=1.52026.0511.26
GCVModel=NNC2025.0511
Laplace + PAm=32, epsilon=0.52026.0510.92
CW + PA w/o boundingm=32, epsilon=0.52026.0510.69
Task-Awarem=3, epsilon=1.02026.0510.52
Task-Awarem=3, epsilon=0.52026.0510.18
CONE-SHAPBackbone=ResNet502024.1110
GCVModel=kNNC2025.059