Continual Learning On Permuted Mnist
평가 지표
Average Accuracy
BWT
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Average Accuracy | BWT | Paper Title | Repository |
|---|---|---|---|---|
| CODE-CL | 96.56 | -0.24 | CODE-CL: COnceptor-Based Gradient Projection for DEep Continual Learning | - |
| RMN | 97.988 | - | Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping | |
| Model Zoo-Continual | 97.71 | - | Model Zoo: A Growing "Brain" That Learns Continually |
0 of 3 row(s) selected.