Text Classification on RCV1 v2 (train)
0.023Training LossPerNodeBernoulli_F
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PerNodeBernoulli_FDR=0.8, Ep=32025.12 | 0.023 | 83.9 | |
| PerNodeGaussian_FDR=0.6, Ep=32025.12 | 0.031 | 87.6 | |
| DropConnectDR=0.0, Ep=32025.12 | 0.033 | 89.3 | |
| DropoutDR=0.2, Ep=42025.12 | 0.036 | 87.1 | |
| PerNodeBernoulli_FDR=0.9, Ep=22025.12 | 0.037 | 83.1 | |
| DropConnectDR=0.1, Ep=32025.12 | 0.037 | 83.1 | |
| PerNodeGaussian_FDR=0.9, Ep=22025.12 | 0.038 | 83 | |
| GaussianDropoutDR=0.3, Ep=42025.12 | 0.039 | 85.7 | |
| PerNodeGaussianDR=0.0, Ep=32025.12 | 0.04 | 86 | |
| PerNodeGaussian_FDR=0.2, Ep=32025.12 | 0.041 | 85 | |
| PerNodeBernoulliDR=0.1, Ep=32025.12 | 0.041 | 87.9 | |
| PerNodeBernoulliDR=0.5, Ep=32025.12 | 0.042 | 83 | |
| PerNodeGaussianDR=0.5, Ep=32025.12 | 0.042 | 88.5 | |
| GaussianDropoutDR=0.1, Ep=32025.12 | 0.043 | 85.8 | |
| PerNodeBernoulli_FDR=0.8, Ep=22025.12 | 0.044 | 87 | |
| PerNodeBernoulliDR=0.7, Ep=32025.12 | 0.044 | 84.9 | |
| GaussianDropoutDR=0.2, Ep=32025.12 | 0.045 | 89.4 | |
| DropoutDR=0.1, Ep=32025.12 | 0.046 | 87.8 | |
| PerNodeGaussianDR=0.8, Ep=32025.12 | 0.05 | 84 | |
| DropoutDR=0.2, Ep=32025.12 | 0.054 | 86.7 | |
| DropConnectDR=0.0, Ep=22025.12 | 0.064 | 88.4 |