Continual Learning
Learning new tasks without forgetting old ones.
1
Datasets
3
Results
average_accuracy
Canonical metric
Canonical Benchmark
Split CIFAR-100
Canonical class-incremental continual learning benchmark: CIFAR-100 is split into 10 sequential tasks of 10 classes each. Models learn tasks one at a time without access to prior-task data and are evaluated on average accuracy across all tasks after the full sequence.
Primary metric: average_accuracy
Top 10
Leading models on Split CIFAR-100.
All datasets
1 dataset tracked for this task.
Related tasks
Other tasks in Methodology.