Dataset Distillation on CIFAR-10 (test)
88.1AccuracyFull Dataset
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Full DatasetImg/Cls=12022.12 | 88.1 | — | — | — | |
| Full DatasetImg/Cls=102022.12 | 88.1 | — | — | — | |
| Full DatasetImg/Cls=502022.12 | 88.1 | — | — | — | |
| NCFMIPC=50, Evaluation Architecture=ConvNet, Condensation Architecture=ConvNet2025.02 | 77.4 | — | — | — | |
| NCFMIPC=50, Evaluation Architecture=AlexNet, Condensation Architecture=ConvNet2025.02 | 75.5 | — | — | — | |
| NCFMIPC=50, Evaluation Architecture=VGG, Condensation Architecture=ConvNet2025.02 | 75.5 | — | — | — | |
| IDCImg/Cls=502022.12 | 74.5 | 29.4 | 1 | 1 | |
| FTDipc=50, backbone=ConvNet-32022.11 | 73.8 | — | — | — | |
| Ours5Img/Cls=502022.12 | 73.8 | 6.11 | 4.9 | 0.99 | |
| NCFMIPC=50, Evaluation Architecture=ResNet, Condensation Architecture=ConvNet2025.02 | 73.8 | — | — | — | |
| Ours10Img/Cls=502022.12 | 73.1 | 3.05 | 9.77 | 0.97 | |
| MTT+Robust Learningipc=50, backbone=ConvNet-32022.11 | 72.7 | — | — | — | |
| PPipc=50, backbone=ConvNet-32022.11 | 71.9 | — | — | — | |
| NCFMIPC=10, Evaluation Architecture=ConvNet, Condensation Architecture=ConvNet2025.02 | 71.8 | — | — | — | |
| MTTipc=50, backbone=ConvNet-32022.11 | 71.6 | — | — | — | |
| TMImg/Cls=502022.12 | 71.6 | 7.39 | 3.57 | 0.94 | |
| NCFMIPC=10, Evaluation Architecture=VGG, Condensation Architecture=ConvNet2025.02 | 68 | — | — | — | |
| NCFMIPC=10, Evaluation Architecture=AlexNet, Condensation Architecture=ConvNet2025.02 | 67.9 | — | — | — | |
| NCFMIPC=10, Evaluation Architecture=ResNet, Condensation Architecture=ConvNet2025.02 | 67.7 | — | — | — | |
| IDCImg/Cls=102022.12 | 67.5 | 22.2 | 1 | 1 | |
| Ours5Img/Cls=102022.12 | 67.1 | 4.45 | 4.9 | 0.99 | |
| FTDipc=10, backbone=ConvNet-32022.11 | 66.6 | — | — | — | |
| Ours10Img/Cls=102022.12 | 66.5 | 2.23 | 9.77 | 0.97 | |
| PPipc=10, backbone=ConvNet-32022.11 | 65.5 | — | — | — | |
| MTTipc=10, backbone=ConvNet-32022.11 | 65.4 | — | — | — | |
| TMImg/Cls=102022.12 | 65.3 | 6.69 | 3.57 | 0.94 | |
| DMIPC=50, Evaluation Architecture=ConvNet, Condensation Architecture=ConvNet2025.02 | 65.2 | — | — | — | |
| MTTIPC=10, Evaluation Architecture=ConvNet, Condensation Architecture=ConvNet2025.02 | 64.3 | — | — | — | |
| MTT+Robust Learningipc=10, backbone=ConvNet-32022.11 | 63.2 | — | — | — | |
| DMipc=50, backbone=ConvNet-32022.11 | 63 | — | — | — | |
| DMImg/Cls=502022.12 | 63 | 0.31 | 89 | 0.69 | |
| CAFE+DSAipc=50, backbone=ConvNet-32022.11 | 62.3 | — | — | — | |
| DMIPC=50, Evaluation Architecture=AlexNet, Condensation Architecture=ConvNet2025.02 | 61.3 | — | — | — | |
| DSAipc=50, backbone=ConvNet-32022.11 | 60.6 | — | — | — | |
| DSAImg/Cls=502022.12 | 60.6 | 11.1 | 85 | 0.71 | |
| DSAIPC=50, Evaluation Architecture=ConvNet, Condensation Architecture=ConvNet2025.02 | 59.9 | — | — | — | |
| DMIPC=50, Evaluation Architecture=VGG, Condensation Architecture=ConvNet2025.02 | 59.9 | — | — | — | |
| DMIPC=50, Evaluation Architecture=ResNet, Condensation Architecture=ConvNet2025.02 | 57 | — | — | — | |
| CAFEipc=50, backbone=ConvNet-32022.11 | 55.5 | — | — | — | |
| CAFEImg/Cls=502022.12 | 55.5 | — | — | 0.54 | |
| DCipc=50, backbone=ConvNet-32022.11 | 53.9 | — | — | — | |
| DSAIPC=50, Evaluation Architecture=AlexNet, Condensation Architecture=ConvNet2025.02 | 53.3 | — | — | — | |
| DSAipc=10, backbone=ConvNet-32022.11 | 52.1 | — | — | — | |
| DSAImg/Cls=102022.12 | 52.1 | 1.94 | 85 | 0.71 | |
| DSAIPC=10, Evaluation Architecture=ConvNet, Condensation Architecture=ConvNet2025.02 | 52.1 | — | — | — | |
| DSAIPC=50, Evaluation Architecture=VGG, Condensation Architecture=ConvNet2025.02 | 51 | — | — | — | |
| CAFE+DSAipc=10, backbone=ConvNet-32022.11 | 50.9 | — | — | — | |
| IDCImg/Cls=12022.12 | 50.6 | 21.7 | 1 | 1 | |
| MTTIPC=10, Evaluation Architecture=VGG, Condensation Architecture=ConvNet2025.02 | 50.3 | — | — | — | |
| Ours5Img/Cls=12022.12 | 49.2 | 4.44 | 4.9 | 0.99 | |
| DMipc=10, backbone=ConvNet-32022.11 | 48.9 | — | — | — | |
| DMImg/Cls=102022.12 | 48.9 | 0.26 | 89 | 0.69 | |
| Ours10Img/Cls=12022.12 | 48.5 | 2.22 | 9.77 | 0.97 | |
| KIPIPC=10, Evaluation Architecture=ConvNet, Condensation Architecture=ConvNet2025.02 | 47.6 | — | — | — | |
| DSAIPC=50, Evaluation Architecture=ResNet, Condensation Architecture=ConvNet2025.02 | 47.3 | — | — | — | |
| FTDipc=1, backbone=ConvNet-32022.11 | 46.8 | — | — | — | |
| PPipc=1, backbone=ConvNet-32022.11 | 46.4 | — | — | — | |
| CAFEipc=10, backbone=ConvNet-32022.11 | 46.3 | — | — | — | |
| CAFEImg/Cls=102022.12 | 46.3 | — | — | 0.54 | |
| TMImg/Cls=12022.12 | 46.3 | 6.35 | 3.57 | 0.94 | |
| MTTipc=1, backbone=ConvNet-32022.11 | 46.2 | — | — | — | |
| MTT+Robust Learningipc=1, backbone=ConvNet-32022.11 | 45.8 | — | — | — | |
| DCipc=10, backbone=ConvNet-32022.11 | 44.9 | — | — | — | |
| DSAIPC=10, Evaluation Architecture=VGG, Condensation Architecture=ConvNet2025.02 | 43.2 | — | — | — | |
| KIPIPC=10, Evaluation Architecture=VGG, Condensation Architecture=ConvNet2025.02 | 42.1 | — | — | — | |
| DSAIPC=10, Evaluation Architecture=AlexNet, Condensation Architecture=ConvNet2025.02 | 35.9 | — | — | — | |
| DSAIPC=10, Evaluation Architecture=ResNet, Condensation Architecture=ConvNet2025.02 | 35.9 | — | — | — | |
| MTTIPC=10, Evaluation Architecture=AlexNet, Condensation Architecture=ConvNet2025.02 | 34.2 | — | — | — | |
| MTTIPC=10, Evaluation Architecture=ResNet, Condensation Architecture=ConvNet2025.02 | 34.2 | — | — | — | |
| CAFE+DSAipc=1, backbone=ConvNet-32022.11 | 31.6 | — | — | — | |
| CAFEipc=1, backbone=ConvNet-32022.11 | 30.3 | — | — | — | |
| CAFEImg/Cls=12022.12 | 30.3 | — | — | 0.54 | |
| DSAipc=1, backbone=ConvNet-32022.11 | 28.8 | — | — | — | |
| DCipc=1, backbone=ConvNet-32022.11 | 28.3 | — | — | — | |
| DSAImg/Cls=12022.12 | 28.2 | 0.09 | 85 | 0.71 | |
| DMipc=1, backbone=ConvNet-32022.11 | 26 | — | — | — | |
| DMImg/Cls=12022.12 | 26 | 0.25 | 89 | 0.69 | |
| KIPIPC=10, Evaluation Architecture=AlexNet, Condensation Architecture=ConvNet2025.02 | 24.4 | — | — | — | |
| KIPIPC=10, Evaluation Architecture=ResNet, Condensation Architecture=ConvNet2025.02 | 24.4 | — | — | — |