EEG Classification on Workload
73.91Balanced AccuracyNeuroWeaver
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| NeuroWeaverModel Size=0.011M2026.02 | 73.91 | 84.36 | 84.03 | |
| KAST-BAR-LargeModel Parameter=2.2B, General Model=true, Multi-Task=true2026.05 | 71.2 | 69.5 | 73.1 | |
| KAST-BAR-LargeParameters=2.2B, Training Protocol=Multi-Task2026.05 | 71.2 | — | — | |
| FFCLModel Size=2.4M2026.02 | 70.69 | 78.23 | 78.57 | |
| ContraWRModel Size=1.6M2026.02 | 69.66 | 76.68 | 76.85 | |
| KAST-BAR-BaseModel Parameter=0.8B, General Model=true, Multi-Task=true2026.05 | 68.6 | 64.2 | 67.3 | |
| KAST-BAR-BaseParameters=0.8B, Training Protocol=Multi-Task2026.05 | 68.6 | — | — | |
| THD-BAR-HugeModel Parameter=1.6B, General Model=true, Multi-Task=true2026.05 | 67.1 | 60.1 | 63.6 | |
| THD-BAR-HugeParameters=1.6B, Training Protocol=Multi-Task2026.05 | 67.1 | — | — | |
| BIOTModel Parameter=3.2M, General Model=true, Multi-Task=false2026.05 | 66.6 | 71.9 | 73.4 | |
| BIOTParameters=3.2M, Training Protocol=Single-Task2026.05 | 66.6 | — | — | |
| BIOTModel Size=3.2M2026.02 | 66.55 | 71.89 | 73.42 | |
| LaBraM-BaseModel Parameter=5.8M, General Model=true, Multi-Task=false2026.05 | 66.1 | 71.7 | 72.7 | |
| LaBraM-BaseParameters=5.8M, Training Protocol=Single-Task2026.05 | 66.1 | — | — | |
| LaBraM-BaseModel Size=5.8M2026.02 | 66.09 | 71.74 | 72.72 | |
| CBraModModel Parameter=4.0M, General Model=true, Multi-Task=false2026.05 | 65.4 | 70.4 | 70.1 | |
| CBraModParameters=4.0M, Training Protocol=Single-Task2026.05 | 65.4 | — | — | |
| NeuroLM-XLModel Parameter=1.7B, General Model=true, Multi-Task=true2026.05 | 63.5 | 58.9 | 61.3 | |
| NeuroLM-XLParameters=1.7B, Training Protocol=Multi-Task2026.05 | 63.5 | — | — | |
| EEGPTModel Parameter=25M, General Model=true, Multi-Task=true2026.05 | 63 | 67.9 | 69.3 | |
| EEGPTParameters=25M, Training Protocol=Multi-Task2026.05 | 63 | — | — | |
| NeuroLM-BModel Size=254M2026.02 | 61.72 | 58.24 | 62.53 | |
| ST-TransformerModel Size=3.5M2026.02 | 61.03 | 57.16 | 63.75 | |
| ST-TransformerModel Parameter=3.5M, General Model=false, Multi-Task=false2026.05 | 61 | 57.2 | 63.8 | |
| ST-TransformerParameters=3.5M, Training Protocol=Single-Task2026.05 | 61 | — | — | |
| EEGNetModel Parameter=-, General Model=false, Multi-Task=false2026.05 | 60.9 | 58.2 | 62.4 | |
| EEGNetTraining Protocol=Single-Task2026.05 | 60.9 | — | — | |
| SPaRCNetModel Parameter=0.79M, General Model=false, Multi-Task=false2026.05 | 59.8 | 66.4 | 67.2 | |
| SPaRCNetParameters=0.79M, Training Protocol=Single-Task2026.05 | 59.8 | — | — | |
| SPaRCNetModel Size=0.79M2026.02 | 59.77 | 66.38 | 67.17 | |
| CNN-TransformerModel Size=3.2M2026.02 | 57.93 | 53.06 | 56.63 |