Image Classification on CIFAR-10 (Training Time)
17.85Training Time (s)Uniform
Evaluation Results
| Method | Links | |
|---|---|---|
| UniformNoise=0.3 p2026.05 | 17.85 | |
| UniformNoise=0.4 s2026.05 | 17.9 | |
| UniformNoise=0.5 s2026.05 | 17.9 | |
| ADIW-KLNoise=0.3 p2026.05 | 38.48 | |
| ADIW-KLNoise=0.5 s2026.05 | 38.61 | |
| ADIW-KMNoise=0.5 s2026.05 | 38.73 | |
| ADIW-KLNoise=0.4 s2026.05 | 38.82 | |
| ADIW-WANoise=0.3 p2026.05 | 39.59 | |
| ADIW-WANoise=0.4 s2026.05 | 39.66 | |
| ADIW-WANoise=0.5 s2026.05 | 39.79 | |
| ADIW-KMNoise=0.4 s2026.05 | 49.71 | |
| ADIW-KMNoise=0.3 p2026.05 | 55.04 | |
| ADIW-LSNoise=0.4 s2026.05 | 67.94 | |
| ADIW-LSNoise=0.5 s2026.05 | 68.53 | |
| ADIW-LSNoise=0.3 p2026.05 | 69.59 | |
| DIWNoise=0.3 p2026.05 | 90.4 | |
| DIWNoise=0.4 s2026.05 | 109.55 | |
| DIWNoise=0.5 s2026.05 | 111.01 | |
| L2RNoise=0.3 p2026.05 | 119.66 | |
| L2RNoise=0.5 s2026.05 | 121.07 | |
| L2RNoise=0.4 s2026.05 | 121.38 | |
| MW-NetNoise=0.3 p2026.05 | 134.4 | |
| MW-NetNoise=0.5 s2026.05 | 135.15 | |
| MW-NetNoise=0.4 s2026.05 | 152.12 |