Image Classification on EMNIST Public Task Finetuned (test)
88.5AccuracyQuantum Augmentation Baseline
Evaluation results
| Method | Links | |
|---|---|---|
| Quantum Augmentation Baseline2023.03 | 88.5 | |
| Gaussian Blur Augmented EMNIST BaselineEvaluation Protocol=Finetuned2023.03 | 83.9 | |
| Accuracy-Based Reward PolicyEvaluation Protocol=Testing, Training Steps=52,829, Training Hours=3482023.03 | 64.4 | |
| Length-Based Reward PolicyEvaluation Protocol=Testing, Training Steps=28,519, Training Hours=1902023.03 | 63.9 | |
| Gaussian Noise Augmented EMNIST BaselineEvaluation Protocol=Finetuned2023.03 | 56.5 | |
| Public-Based Reward PolicyEvaluation Protocol=Finetuned, Training Steps=90,397, Training Hours=6052023.03 | 56.5 | |
| Gaussian Blur Augmented EMNIST BaselineEvaluation Protocol=Testing2023.03 | 54.1 | |
| Quantum Random Action BaselineEvaluation Protocol=Finetuned2023.03 | 51.9 | |
| Gaussian Noise Augmented EMNIST BaselineEvaluation Protocol=Testing2023.03 | 51.5 | |
| Length-Based Reward PolicyEvaluation Protocol=Finetuned, Training Steps=28,519, Training Hours=1902023.03 | 51.5 | |
| Public-Based Reward PolicyEvaluation Protocol=Testing, Training Steps=90,397, Training Hours=6052023.03 | 50.7 | |
| Pure Chance Baseline2023.03 | 50 | |
| Quantum Random Action BaselineEvaluation Protocol=Testing2023.03 | 49.6 | |
| Accuracy-Based Reward PolicyEvaluation Protocol=Finetuned, Training Steps=52,829, Training Hours=3482023.03 | 48.7 |