Table 4.
Test accuracy on transformed MNIST using the pre-trained networks with SSL on EMNIST letters.
| Loss | Learning | Update | Acc. on transformed digits |
|---|---|---|---|
| Contr. Hinge | E2E | BP | 80.20% |
| DTP | 81.37% | ||
| RF | 75.89% | ||
| GLL | BP | 81.31% | |
| RF | 80.86% | ||
| RLL | BP | 80.31% | |
| RF | 78.52% | ||
| SimCLR | E2E | BP | 81.96% |
| Supervised | 75.6% | ||
| Rnd. encoder | 62.66% | ||
Linear classifiers/supervised networks trained on original MNIST.