methodology-17
Incremental Learning
3260 papers • 126 benchmarks • 313 datasets
Incremental learning aims to develop artificially intelligent systems that can continuously learn to address new tasks from new data while preserving knowledge learned from previously learned tasks.
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Benchmarks
These leaderboards are used to track progress in incremental-learning-17
Trend
Dataset
Best Model
Actions
CIFAR-100 - 50 classes + 5 steps of 10 classes
CIFAR-100 - 50 classes + 5 steps of 10 classes
CIFAR-100 - 50 classes + 10 steps of 5 classes
CIFAR-100 - 50 classes + 10 steps of 5 classes
Libraries
iUse these libraries to find incremental-learning-17 models and implementations
19 papers 679
Datasets
No datasets available.
Subtasks
No subtasks available.
