Regression on Synthetic (weakly-periodic) Out-of-input-distribution (OOID)
0.01NKL Divergence
ConvGNP
Updated 1mo ago
Evaluation Results
| Method | Links | |
|---|---|---|
2023.06 | 0.01 | |
2023.06 | 0.01 | |
2023.06 | 0.02 | |
2023.06 | 0.03 | |
2023.06 | 0.03 | |
2023.06 | 0.05 | |
2023.06 | 0.05 | |
2023.06 | 0.05 | |
2023.06 | 0.08 | |
2023.06 | 0.08 | |
2023.06 | 0.11 | |
2023.06 | 0.2 | |
2023.06 | 0.21 | |
2023.06 | 0.21 | |
2023.06 | 0.24 | |
2023.06 | 0.24 | |
2023.06 | 0.24 | |
2023.06 | 0.28 | |
2023.06 | 0.28 | |
2023.06 | 0.31 | |
2023.06 | 0.31 | |
2023.06 | 0.31 | |
2023.06 | 0.49 | |
2023.06 | 0.62 | |
2023.06 | 0.76 | |
2023.06 | 0.77 | |
2023.06 | 0.78 | |
2023.06 | 0.8 | |
2023.06 | 0.81 | |
2023.06 | 1.03 | |
2023.06 | 1.47 | |
2023.06 | 1.58 | |
2023.06 | 1.58 | |
2023.06 | 1.81 | |
2023.06 | 2.2 | |
2023.06 | 2.2 | |
2023.06 | 2.57 | |
2023.06 | 2.88 | |
2023.06 | 2.88 |