Visual Acuity Prediction on SOURCE (Sight Outcomes Research Collaborative) (test)
0.1061MSEDKL Transformer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DKL TransformerArchitecture=Transformer, Training Objective=Deep Kernel Learning2026.05 | 0.1061 | 0.1703 | 0.3262 | 53.0564 | |
| MLE TransformerArchitecture=Transformer, Training Objective=Maximum Likelihood Estimation2026.05 | 0.1068 | 0.171 | 0.3217 | 53.3605 | |
| DKL RNNArchitecture=RNN, Training Objective=Deep Kernel Learning2026.05 | 0.1075 | 0.1721 | 0.3172 | 56.9478 | |
| MLE GRUArchitecture=GRU, Training Objective=Maximum Likelihood Estimation2026.05 | 0.1106 | 0.1708 | 0.2973 | 56.41 | |
| DKL GRUArchitecture=GRU, Training Objective=Deep Kernel Learning2026.05 | 0.1113 | 0.1748 | 0.2934 | 53.7741 | |
| MLE LSTMArchitecture=LSTM, Training Objective=Maximum Likelihood Estimation2026.05 | 0.1156 | 0.1718 | 0.2659 | 57.9248 | |
| MLE RNNArchitecture=RNN, Training Objective=Maximum Likelihood Estimation2026.05 | 0.1166 | 0.1795 | 0.2594 | 53.8397 | |
| MLE GRU ODEArchitecture=GRU ODE, Training Objective=Maximum Likelihood Estimation2026.05 | 0.1166 | 0.1888 | 0.2599 | 43.8709 | |
| DKL LSTMArchitecture=LSTM, Training Objective=Deep Kernel Learning2026.05 | 0.1184 | 0.1712 | 0.2477 | 59.6589 | |
| MLE GRU-DArchitecture=GRU-D, Training Objective=Maximum Likelihood Estimation2026.05 | 0.1246 | 0.1765 | 0.2084 | 56.8392 | |
| MLE RNN CDEArchitecture=RNN CDE, Training Objective=Maximum Likelihood Estimation2026.05 | 0.1246 | 0.2017 | 0.2109 | 36.2228 |