Image Classification on MNIST CS 100 (test)
91.52Mean AccuracyGIW
Evaluation Results
| Method | Links | |
|---|---|---|
| GIWShift type=Class-prior Shift, Shift intensity=100, Case=iii, Trials=52023.05 | 91.52 | |
| GIW2023.05 | 87.14 | |
| GIWShift Scenario=Case (iv)2023.05 | 87.14 | |
| Pretrain-valShift type=Class-prior Shift, Shift intensity=100, Case=iii, Trials=52023.05 | 84.54 | |
| Pretrain-val2023.05 | 82.09 | |
| Pretrain-valShift Scenario=Case (iv)2023.05 | 82.09 | |
| ReweightShift type=Class-prior Shift, Shift intensity=100, Case=iii, Trials=52023.05 | 80.65 | |
| Val-only2023.05 | 79.86 | |
| Val-onlyShift Scenario=Case (iv)2023.05 | 79.86 | |
| Val-onlyShift type=Class-prior Shift, Shift intensity=100, Case=iii, Trials=52023.05 | 78.94 | |
| DIWShift type=Class-prior Shift, Shift intensity=100, Case=iii, Trials=52023.05 | 78.58 | |
| MW-NetShift type=Class-prior Shift, Shift intensity=100, Case=iii, Trials=52023.05 | 77.06 | |
| R-DIWShift type=Class-prior Shift, Shift intensity=100, Case=iii, Trials=52023.05 | 76.53 | |
| Reweight2023.05 | 74.84 | |
| DIW2023.05 | 73.66 | |
| MW-Net2023.05 | 71.42 | |
| R-DIW2023.05 | 71.11 | |
| CCSAShift Scenario=Case (iv)2023.05 | 66.31 | |
| DANNShift Scenario=Case (iv)2023.05 | 50.06 |