Generative Modeling on Fashion MNIST (train)
-230.77Log Likelihood (100 samples)
CARMS-I
Updated 18d ago
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
2021.10 | -230.77 | - | - | |
2021.10 | -231.16 | - | - | |
2021.10 | -231.35 | - | - | |
2021.10 | -231.67 | - | - | |
2021.10 | -231.72 | - | - | |
2021.10 | -231.74 | - | - | |
2021.10 | -232.01 | - | - | |
2021.10 | -232.19 | - | - | |
2021.10 | -233.13 | - | - | |
2021.10 | -233.2 | - | - | |
2021.10 | -233.34 | - | - | |
2021.10 | -233.75 | - | - | |
2021.10 | -235.88 | - | - | |
2021.10 | -237.29 | - | - | |
2021.10 | -237.93 | - | - | |
2021.10 | -240.44 | - | - | |
2021.10 | -240.52 | - | - | |
2021.10 | -240.91 | - | - | |
2021.10 | -241.08 | - | - | |
2021.10 | -241.9 | - | - | |
2021.10 | -242.06 | - | - | |
2021.10 | -242.17 | - | - | |
2021.10 | -242.43 | - | - | |
2021.10 | -243.29 | - | - | |
2021.10 | -244.63 | - | - | |
2021.10 | -245.44 | - | - | |
2021.10 | -245.69 | - | - | |
2021.10 | -245.8 | - | - | |
2021.10 | -245.9 | - | - | |
2021.10 | -247.51 | - | - | |
2023.04 | - | 237.74 | - | |
2023.04 | - | 237.05 | - | |
2023.04 | - | 237.4 | - | |
2023.04 | - | 236.88 | - | |
2023.04 | - | 234.53 | - | |
2023.04 | - | 237.68 | - | |
2023.04 | - | 237.55 | - | |
2023.04 | - | 237.44 | - | |
2023.04 | - | 234.89 | - | |
2026.03 | - | - | 1,152.3 | |
2026.03 | - | - | 1,180.08 | |
2026.03 | - | - | 1,179.68 | |
2026.03 | - | - | 1,183.97 | |
2026.03 | - | - | 1,135.83 | |
2026.03 | - | - | 1,120.62 | |
2026.03 | - | - | 937.29 | |
2026.03 | - | - | 754.34 | |
2026.03 | - | - | 15,946.58 | |
2026.03 | - | - | 1,220.04 | |
2026.03 | - | - | 1,231.16 | |
2026.03 | - | - | 1,231.02 |