Continual Learning On Permuted Mnist
Métriques
Average Accuracy
BWT
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 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 |
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