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Class Incremental Learning

Papers

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Showing 401–425 of 634 papers

TitleStatusHype
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing—0
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning—0
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction—0
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer—0
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning—0
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning—0
Generative Feature-driven Image Replay for Continual Learning—0
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning—0
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL—0
Memorizing Complementation Network for Few-Shot Class-Incremental Learning—0
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning—0
Memory Efficient Class-Incremental Learning for Image Classification—0
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning—0
Modeling Unknown Semantic Labels as Uncertainty in the Prediction: Evidential Deep Learning for Class-Incremental Semantic Segmentation—0
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference—0
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning—0
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark—0
Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning—0
Multilayer Neuromodulated Architectures for Memory-Constrained Online Continual Learning—0
MultIOD: Rehearsal-free Multihead Incremental Object Detector—0
Multivariate Prototype Representation for Domain-Generalized Incremental Learning—0
Multi-View Class Incremental Learning—0
Neural Architecture Search for Class-incremental Learning—0
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps—0
Noise-Tolerant Coreset-Based Class Incremental Continual Learning—0
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All datasetscifar100CIFAR-100 - 50 classes + 10 steps of 5 classesCIFAR-100 - 50 classes + 5 steps of 10 classesCifar100-B0(10 tasks)-no-exemplarsCifar100-B0(20 tasks)-no-exemplarsCIFAR100-B0(50 tasks)-no-exemplars

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