Classification on CIFAR10 (test)
97.42AccuracyreSGHMC
Evaluation Results
| Method | Links | |
|---|---|---|
| reSGHMCModel Architecture=WRN-28-102020.08 | 97.42 | |
| M-SGDModel Architecture=WRN-28-102020.08 | 97.33 | |
| SGHMCModel Architecture=WRN-28-102020.08 | 97.32 | |
| reSGHMCModel Architecture=WRN-16-82020.08 | 96.87 | |
| SGHMCModel Architecture=WRN-16-82020.08 | 96.73 | |
| M-SGDModel Architecture=WRN-16-82020.08 | 96.71 | |
| reSGHMCModel Architecture=ResNet-562020.08 | 96.12 | |
| M-SGDModel Architecture=ResNet-562020.08 | 96.01 | |
| MS-ResNet-18Architecture=MS-ResNet-18, Coding Schemes=CSGC Coding, Time Steps=62025.06 | 95.98 | |
| SGHMCModel Architecture=ResNet-562020.08 | 95.95 | |
| reSGHMCModel Architecture=ResNet-322020.08 | 95.35 | |
| SGHMCModel Architecture=ResNet-322020.08 | 95.18 | |
| M-SGDModel Architecture=ResNet-322020.08 | 95.15 | |
| StandardModel=Resnet182022.03 | 95.1 | |
| MS-ResNet-18Architecture=MS-ResNet-18, Coding Schemes=Direct Coding, Time Steps=62025.06 | 94.92 | |
| reSGHMCModel Architecture=ResNet-202020.08 | 94.62 | |
| SOCModel=Resnet182022.03 | 94.24 | |
| SGHMCModel Architecture=ResNet-202020.08 | 94.22 | |
| M-SGDModel Architecture=ResNet-202020.08 | 94.21 | |
| VGG192018.11 | 93.6 | |
| PointConvArchitecture=VGG192018.11 | 93.19 | |
| ResNet-19Architecture=ResNet-19, Coding Schemes=Rate Coding, Time Steps=62025.06 | 93.16 | |
| VGG-16Architecture=VGG-16, Coding Schemes=Temporal Coding, Time Steps=1002025.06 | 92.68 | |
| AugerinoBase Group=SE(2), Number of Elements=2, Partial Equivariance=false, Augerino=true2021.10 | 92.48 | |
| BCOPModel=Resnet182022.03 | 92.38 | |
| AugerinoBase Group=SE(2), Number of Elements=4, Partial Equivariance=false, Augerino=true2021.10 | 92.28 | |
| StandardModel=Resnet92022.03 | 92.26 | |
| AugerinoBase Group=SE(2), Number of Elements=8, Partial Equivariance=false, Augerino=true2021.10 | 91.99 | |
| I-NeurALlabel budget=20%, T (rounds)=100002022.10 | 91.8 | |
| I-NeurALlabel budget=10%2022.10 | 91.75 | |
| DnCBackbone=ResNet-50, Pre-training dataset=JFT, Pre-training epochs=4500 ImageNet-equivalent, Evaluation protocol=Linear transfer2022.01 | 91.7 | |
| Partial G-CNNBase Group=SE(2), Number of Elements=4, Partial Equivariance=true, Augerino=false2021.10 | 91.66 | |
| ResNet-19Architecture=ResNet-19, Coding Schemes=Phase Coding, Time Steps=82025.06 | 91.4 | |
| CNNBase Group=T(2), Number of Elements=1, Architecture=13-layer CNN2021.10 | 91.21 | |
| LAMMSetting=Fine-tuned2023.06 | 91.2 | |
| F-EDL2025.10 | 91.19 | |
| DAEDL2025.10 | 91.11 | |
| NeuAL-NTK-Dlabel budget=20%, T (rounds)=100002022.10 | 90.9 | |
| G-CNNBase Group=SE(2), Number of Elements=8, Partial Equivariance=false, Augerino=false2021.10 | 90.55 | |
| ReLICv2Backbone=ResNet-50, Pre-training dataset=JFT, Pre-training epochs=1000 ImageNet-equivalent, Evaluation protocol=Linear transfer2022.01 | 90.2 | |
| R-EDL2025.10 | 90.09 | |
| Partial G-CNNBase Group=SE(2), Number of Elements=8, Partial Equivariance=true, Augerino=false2021.10 | 89.96 | |
| ReLICv2Backbone=ResNet-50, Pre-training dataset=JFT, Pre-training epochs=5000 ImageNet-equivalent, Evaluation protocol=Linear transfer2022.01 | 89.9 | |
| BYOLBackbone=ResNet-50, Pre-training dataset=JFT, Pre-training epochs=5000 ImageNet-equivalent, Evaluation protocol=Linear transfer2022.01 | 89.8 | |
| Marginlabel budget=20%, T (rounds)=100002022.10 | 89.75 | |
| G-CNNBase Group=SE(2), Number of Elements=4, Partial Equivariance=false, Augerino=false2021.10 | 89.73 | |
| Proj-TModel=Resnet182022.03 | 89.59 | |
| Randomlabel budget=20%, T (rounds)=100002022.10 | 89.5 | |
| SupervisedClass Prior=0.22025.08 | 89.5 | |
| Marginlabel budget=10%2022.10 | 89.45 | |
| Proj-DModel=Resnet182022.03 | 89.43 | |
| ALPSlabel budget=10%2022.10 | 89.35 | |
| I-EDL2025.10 | 89.2 | |
| PointConvArchitecture=5-layer2018.11 | 89.13 | |
| NeuAL-NTK-Dlabel budget=10%2022.10 | 89.05 | |
| AlexNet2018.11 | 89 | |
| I-NeurALLabel Budget=3%, T (rounds)=100002022.10 | 89 | |
| Randomlabel budget=10%2022.10 | 89 | |
| ALPSlabel budget=20%, T (rounds)=100002022.10 | 88.95 | |
| Image Convolution2018.11 | 88.52 | |
| SconfConfDiff-ABSClass Prior=0.22025.08 | 88.4 | |
| MarginLabel Budget=3%, T (rounds)=100002022.10 | 88.25 | |
| GMDBackbone=ResNet-18, Setting=Federated, Corruption Type=Bit Flip, Corruption (%)=20%2021.06 | 88.07 | |
| GALAXYinitial_labels=100, query_schedule=10 x 102025.10 | 87.9 | |
| Partial G-CNNBase Group=SE(2), Number of Elements=2, Partial Equivariance=true, Augerino=false2021.10 | 87.78 | |
| SupervisedClass Prior=0.52025.08 | 87.6 | |
| Confidenceinitial_labels=100, query_schedule=10 x 102025.10 | 87.31 | |
| SconfConfDiff-ReLUClass Prior=0.22025.08 | 87.1 | |
| Convex(γ = 0.2)-ABSClass Prior=0.22025.08 | 87 | |
| Convex(γ = 0.8)-ABSClass Prior=0.22025.08 | 87 | |
| Convex(γ = 0.5)-ABSClass Prior=0.22025.08 | 86.9 | |
| ConfDiff-ABSClass Prior=0.22025.08 | 86.8 | |
| SconfConfDiff-UnbiasedClass Prior=0.22025.08 | 86.5 | |
| RandomLabel Budget=3%, T (rounds)=100002022.10 | 86.4 | |
| GMDBackbone=ResNet-18, Setting=Federated, Corruption Type=Clean, Corruption (%)=0%2021.06 | 85.65 | |
| ParBaLS EPIGinitial_labels=100, query_schedule=10 x 102025.10 | 85.52 | |
| G-CNNBase Group=SE(2), Number of Elements=2, Partial Equivariance=false, Augerino=false2021.10 | 85.51 | |
| CMDBackbone=ResNet-18, Setting=Federated, Corruption Type=Clean, Corruption (%)=0%2021.06 | 85.5 | |
| ALPSLabel Budget=3%, T (rounds)=100002022.10 | 85.4 | |
| ParBaLS-MAP EPIGinitial_labels=100, query_schedule=10 x 102025.10 | 85.39 | |
| BGMDBackbone=ResNet-18, Setting=Federated, Corruption Type=Clean, Corruption (%)=0%2021.06 | 84.82 | |
| WholeIPC=Full, Ratio=100%2025.12 | 84.8 | |
| BGMDBackbone=ResNet-18, Setting=Federated, Corruption Type=Bit Flip, Corruption (%)=20%2021.06 | 84.56 | |
| ConfDiff-ABSClass Prior=0.52025.08 | 84.2 | |
| NeuAL-NTK-DLabel Budget=3%, T (rounds)=100002022.10 | 84.05 | |
| BGMDBackbone=ResNet-18, Setting=Federated, Corruption Type=Additive, Corruption (%)=20%2021.06 | 83.84 | |
| SconfConfDiff-UnbiasedClass Prior=0.52025.08 | 83.7 | |
| SconfConfDiff-ReLUClass Prior=0.52025.08 | 83.7 | |
| SconfConfDiff-ABSClass Prior=0.52025.08 | 83.7 | |
| Poisoned triggerLoss scaling=1, Clip type=l2-norm, Clip bound=0.12021.06 | 83.68 | |
| Poisoned triggerLoss scaling=20, Clip type=l2-norm, Clip bound=0.12021.06 | 83.68 | |
| Poisoned triggerLoss scaling=10, Clip type=l2-norm, Clip bound=0.12021.06 | 83.66 | |
| Poisoned triggerLoss scaling=50, Clip type=l2-norm, Clip bound=0.12021.06 | 83.66 | |
| EDL2025.10 | 83.55 | |
| Poisoned triggerLoss scaling=1, Clip type=l2-norm, Clip bound=12021.06 | 83.39 | |
| Poisoned triggerLoss scaling=20, Clip type=l2-norm, Clip bound=12021.06 | 83.39 | |
| Poisoned triggerLoss scaling=1, Clip type=None2021.06 | 83.32 | |
| Poisoned triggerLoss scaling=1, Clip type=l2-norm, Clip bound=102021.06 | 83.32 | |
| Poisoned triggerLoss scaling=1, Clip type=l-infinity-norm, Clip bound=12021.06 | 83.32 | |
| Poisoned triggerLoss scaling=1, Clip type=l-infinity-norm, Clip bound=0.12021.06 | 83.32 |