Image Classification on EMNIST Private Task Finetuned (test)
85AccuracyQuantum Augmentation Baseline
Evaluation results
| Method | Links | |
|---|---|---|
| Quantum Augmentation Baseline2023.03 | 85 | |
| Gaussian Blur Augmented EMNIST BaselineEvaluation Protocol=Finetuned2023.03 | 80.7 | |
| Gaussian Noise Augmented EMNIST BaselineEvaluation Protocol=Finetuned2023.03 | 11.4 | |
| Gaussian Blur Augmented EMNIST BaselineEvaluation Protocol=Testing2023.03 | 6.1 | |
| Public-Based Reward PolicyEvaluation Protocol=Testing, Training Steps=90,397, Training Hours=6052023.03 | 4.6 | |
| Length-Based Reward PolicyEvaluation Protocol=Finetuned, Training Steps=28,519, Training Hours=1902023.03 | 4.3 | |
| Accuracy-Based Reward PolicyEvaluation Protocol=Testing, Training Steps=52,829, Training Hours=3482023.03 | 4.2 | |
| Gaussian Noise Augmented EMNIST BaselineEvaluation Protocol=Testing2023.03 | 3.3 | |
| Pure Chance Baseline2023.03 | 2.8 | |
| Accuracy-Based Reward PolicyEvaluation Protocol=Finetuned, Training Steps=52,829, Training Hours=3482023.03 | 2.8 | |
| Quantum Random Action BaselineEvaluation Protocol=Testing2023.03 | 2.7 | |
| Public-Based Reward PolicyEvaluation Protocol=Finetuned, Training Steps=90,397, Training Hours=6052023.03 | 2.5 | |
| Length-Based Reward PolicyEvaluation Protocol=Testing, Training Steps=28,519, Training Hours=1902023.03 | 2.4 | |
| Quantum Random Action BaselineEvaluation Protocol=Finetuned2023.03 | 2.1 |