Classification on LETTER (test)
96AccuracyGPD
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GPDNorm=[−1, 1], alpha_epsilon=0.0001, LR=0.012026.03 | 96 | 0.12 | 4 | |
| SVGPCNorm=[−1, 1], LR=0.012026.03 | 96 | 0.13 | 4 | |
| Uncollapsed-ILRNorm=[−1, 1], LR=0.012026.03 | 96 | 0.13 | 4 | |
| Collapsed-ILRNorm=[−1, 1], lambda=0.999999, LR=0.012026.03 | 95 | 0.16 | 4 | |
| ANT-SoftNumber of Seeds=102026.05 | 91.09 | — | — | |
| DTSemNetNf=16, Nc=26, Ns=10500, Height=102026.05 | 89.19 | — | — | |
| DTSemNetTraining Time=381s, Number of Seeds=102026.05 | 89.19 | — | — | |
| CS-PNNAverage Number of Hidden Units=15172025.01 | 89 | — | — | |
| CS-PNNAverage Number of Hidden Units=14522025.01 | 88.3 | — | — | |
| CS-PNNAverage Number of Hidden Units=14282025.01 | 88 | — | — | |
| ANT-HardTraining Time=588s, Number of Seeds=102026.05 | 87.92 | — | — | |
| TAONf=16, Nc=26, Ns=10500, Height=102026.05 | 87.41 | — | — | |
| ALPSlabel budget=50%2022.10 | 87.1 | — | — | |
| Marginlabel budget=50%2022.10 | 86.35 | — | — | |
| DGTNf=16, Nc=26, Ns=10500, Height=102026.05 | 86.13 | — | — | |
| Randomlabel budget=50%2022.10 | 86.05 | — | — | |
| I-NeurALlabel budget=50%2022.10 | 86.05 | — | — | |
| I-NeurALlabel budget=20%, T (rounds)=100002022.10 | 84.65 | — | — | |
| I-NeurALlabel budget=10%2022.10 | 83.95 | — | — | |
| NeuAL-NTK-Dlabel budget=50%2022.10 | 83.35 | — | — | |
| ALPSlabel budget=20%, T (rounds)=100002022.10 | 83.2 | — | — | |
| Marginlabel budget=20%, T (rounds)=100002022.10 | 82.45 | — | — | |
| NeuAL-NTK-Dlabel budget=20%, T (rounds)=100002022.10 | 82.35 | — | — | |
| Randomlabel budget=20%, T (rounds)=100002022.10 | 81.9 | — | — | |
| Marginlabel budget=10%2022.10 | 81.5 | — | — | |
| NeuAL-NTK-Dlabel budget=10%2022.10 | 80.55 | — | — | |
| Randomlabel budget=10%2022.10 | 79.7 | — | — | |
| ALPSlabel budget=10%2022.10 | 78.05 | — | — | |
| I-NeurALLabel Budget=3%, T (rounds)=100002022.10 | 77.45 | — | — | |
| LSMNorm=[−1, 1], LR=0.012026.03 | 76 | 1.47 | 48 | |
| NeuAL-NTK-DLabel Budget=3%, T (rounds)=100002022.10 | 73.8 | — | — | |
| MarginLabel Budget=3%, T (rounds)=100002022.10 | 73.55 | — | — | |
| RandomLabel Budget=3%, T (rounds)=100002022.10 | 71.6 | — | — | |
| ALPSLabel Budget=3%, T (rounds)=100002022.10 | 71.45 | — | — | |
| CARTNf=16, Nc=26, Ns=10500, Height=no predefined height2026.05 | 70.13 | — | — | |
| BSMNorm=[−1, 1], LR=0.0012026.03 | 67 | 1.24 | 29 | |
| NeuAL-NTK-Flabel budget=20%, T (rounds)=100002022.10 | 48.05 | — | — | |
| NeuAL-NTK-FLabel Budget=3%, T (rounds)=100002022.10 | 48.05 | — | — | |
| NeuAL-NTK-Flabel budget=50%2022.10 | 48.05 | — | — | |
| NeuAL-NTK-Flabel budget=10%2022.10 | 48.05 | — | — | |
| MCLModel=Linear, Trials=10, Presence of unlabeled samples=false, #n=20000, #f=16, #c=262020.01 | 45.75 | — | — | |
| DNN with iCaRL2025.01 | 33.7 | — | — | |
| DNN with iCaRL2025.01 | 14.3 | — | — | |
| DNN with iCaRL2025.01 | 10.2 | — | — | |
| FwdModel=Linear, Trials=10, Presence of unlabeled samples=false, #n=20000, #f=16, #c=262020.01 | 9.37 | — | — | |
| PCModel=Linear, Trials=10, Presence of unlabeled samples=false, #n=20000, #f=16, #c=262020.01 | 9.17 | — | — | |
| MCULModel=Linear, Trials=10, Presence of unlabeled samples=true, #n=20000, #f=16, #c=262020.01 | 8.41 | — | — | |
| MCLModel=Linear, Trials=10, Presence of unlabeled samples=true, #n=20000, #f=16, #c=262020.01 | 5.33 | — | — | |
| GAModel=Linear, Trials=10, Presence of unlabeled samples=true, #n=20000, #f=16, #c=262020.01 | 5.12 | — | — | |
| GAModel=Linear, Trials=10, Presence of unlabeled samples=false, #n=20000, #f=16, #c=262020.01 | 4.68 | — | — | |
| PCModel=Linear, Trials=10, Presence of unlabeled samples=true, #n=20000, #f=16, #c=262020.01 | 4.66 | — | — | |
| FwdModel=Linear, Trials=10, Presence of unlabeled samples=true, #n=20000, #f=16, #c=262020.01 | 3.99 | — | — |