PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Benchmark Model Rank Results
continual-learning-on-cifar100-20-tasksPackNet#8Average Accuracy: 67.5
continual-learning-on-cubs-fine-grained-6PackNet#5Accuracy: 80.41
continual-learning-on-flowers-fine-grained-6PackNet#6Accuracy: 93.04
continual-learning-on-imagenet-fine-grained-6PackNet#5Accuracy: 75.71
continual-learning-on-sketch-fine-grained-6PackNet#6Accuracy: 76.17
continual-learning-on-stanford-cars-finePackNet#6Accuracy: 86.11
continual-learning-on-wikiart-fine-grained-6PackNet#6Accuracy: 69.40