Class Incremental Learning (CIL) on Computer 10-shot (test)
85.65Average Accuracy (AA)G2LoRA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| G2LoRAshot_count=10-shot, scenario=CIL2026.06 | 85.65 | 0.27 | |
| SimGCLshot_count=10-shot, scenario=CIL2026.06 | 78.64 | -6.64 | |
| InfLoRAshot_count=10-shot, scenario=CIL2026.06 | 60.92 | -29.74 | |
| LoRAshot_count=10-shot, scenario=CIL2026.06 | 57.01 | -23.67 | |
| SD-LoRAshot_count=10-shot, scenario=CIL2026.06 | 56.59 | -25.58 | |
| Cosineshot_count=10-shot, scenario=CIL2026.06 | 45.78 | -22.01 | |
| TPPshot_count=10-shot, scenario=CIL2026.06 | 45.68 | 0 | |
| LLaMAshot_count=10-shot, scenario=CIL2026.06 | 44.61 | -61.3 | |
| SimpleCILshot_count=10-shot, scenario=CIL2026.06 | 43.68 | -27.13 | |
| GCNshot_count=10-shot, scenario=CIL2026.06 | 43.43 | -48.52 | |
| RoBERTashot_count=10-shot, scenario=CIL2026.06 | 42.63 | -5.39 | |
| EWCshot_count=10-shot, scenario=CIL2026.06 | 40.52 | -54.23 | |
| GraphPromptershot_count=10-shot, scenario=CIL2026.06 | 40.48 | -54.03 | |
| LwFshot_count=10-shot, scenario=CIL2026.06 | 39.33 | -49.93 | |
| TEENshot_count=10-shot, scenario=CIL2026.06 | 35.68 | -58.52 | |
| BERTshot_count=10-shot, scenario=CIL2026.06 | 35.43 | -26.51 | |
| LLaGAshot_count=10-shot, scenario=CIL2026.06 | 35.35 | -59.43 | |
| GCNLLMEmbshot_count=10-shot, scenario=CIL2026.06 | 32.26 | -62.54 | |
| GraphGPTshot_count=10-shot, scenario=CIL2026.06 | 31.53 | -36.85 |