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Class Incremental Learning

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 634 papers

TitleStatusHype
On the Stability-Plasticity Dilemma of Class-Incremental Learning—0
Avalanche: A PyTorch Library for Deep Continual Learning—0
Wakening Past Concepts without Past Data: Class-incremental Learning from Placebos—0
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning—0
Open-world Machine Learning: A Review and New Outlooks—0
Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network—0
Autoencoder-Based Hybrid Replay for Class-Incremental Learning—0
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator—0
Audio-Visual Class-Incremental Learning for Fish Feeding intensity Assessment in Aquaculture—0
Overcoming the Stability Gap in Continual Learning—0
A Bag of Tricks for Few-Shot Class-Incremental Learning—0
PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning—0
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning—0
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning—0
The Bayesian Approach to Continual Learning: An Overview—0
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation—0
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning—0
The Championship-Winning Solution for the 5th CLVISION Challenge 2024—0
Plastic Learning with Deep Fourier Features—0
PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning—0
The impact of model size on catastrophic forgetting in Online Continual Learning—0
A Survey on Few-Shot Class-Incremental Learning—0
PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark—0
SS-IL: Separated Softmax for Incremental Learning—0
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning—0
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Benchmark Results

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