TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Methodology/Class Incremental Learning/cifar100

Class Incremental Learning on cifar100

Metric: 10-stage average accuracy (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕10-stage average accuracy▼AugmentationsPaperDate↕Code
1S&B68.18NoSplit-and-Bridge: Adaptable Class Incremental Le...2021-07-03Code
2SCR65.98NoSupervised Contrastive Learning2020-04-23Code
3iCaRL63.24NoiCaRL: Incremental Classifier and Representation...2016-11-23Code
4LUCIR56.53No--Code
5ABD54.44NoAlways Be Dreaming: A New Approach for Data-Free...2021-06-17Code
6EMR48.66NoOn Tiny Episodic Memories in Continual Learning2019-02-27Code
7A-GEM45.76NoEfficient Lifelong Learning with A-GEM2018-12-02Code