SOTAVerified

Class Incremental Learning

Papers

Showing 161170 of 634 papers

TitleStatusHype
Dark Experience for General Continual Learning: a Strong, Simple BaselineCode1
Semantic Drift Compensation for Class-Incremental LearningCode1
Mnemonics Training: Multi-Class Incremental Learning without ForgettingCode1
Maintaining Discrimination and Fairness in Class Incremental LearningCode1
Rehearsal-Free Continual Learning over Small Non-I.I.D. BatchesCode1
On Tiny Episodic Memories in Continual LearningCode1
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial AttacksCode1
Overcoming catastrophic forgetting in neural networksCode1
iCaRL: Incremental Classifier and Representation LearningCode1
The Bayesian Approach to Continual Learning: An Overview0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1S&B10-stage average accuracy68.18Unverified
2SCR10-stage average accuracy65.98Unverified
3iCaRL10-stage average accuracy63.24Unverified
4LUCIR10-stage average accuracy56.53Unverified
5ABD10-stage average accuracy54.44Unverified
6EWC10-stage average accuracy50.53Unverified
7EMR10-stage average accuracy48.66Unverified
8A-GEM10-stage average accuracy45.76Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1PPCA-SWSLFinal Accuracy77.07Unverified
2PPCA-CLIPFinal Accuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy61.7Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy56.2Unverified
#ModelMetricClaimedVerifiedStatus
1SEEDAverage Incremental Accuracy42.6Unverified