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Class Incremental Learning

Papers

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Showing 301–350 of 634 papers

TitleStatusHype
Continuous Learning in Single-Incremental-Task Scenarios—0
Continual learning with task specialist—0
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning—0
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning—0
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning—0
S-LoRA: Scalable Low-Rank Adaptation for Class Incremental Learning—0
Continual Learning with Optimal Transport based Mixture Model—0
Continual Learning with Fully Probabilistic Models—0
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor—0
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning—0
From Uncertainty to Clarity: Uncertainty-Guided Class-Incremental Learning for Limited Biomedical Samples via Semantic Expansion—0
FSCIL-SEI: Few-Shot Class-Incremental Learning Approach for Specific Emitter Identification—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
Future-Proofing Class Incremental Learning—0
Continual learning via probabilistic exchangeable sequence modelling—0
Continual Learning Using Pseudo-Replay via Latent Space Sampling—0
General Incremental Learning with Domain-aware Categorical Representations—0
Generalizable Two-Branch Framework for Image Class-Incremental Learning—0
Two-level Graph Network for Few-Shot Class-Incremental Learning—0
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings—0
Continual Learning in the Presence of Repetition—0
Generative Feature Replay with Orthogonal Weight Modification for Continual Learning—0
Continual Learning for Class- and Domain-Incremental Semantic Segmentation—0
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning—0
Continual Contrastive Spoken Language Understanding—0
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task—0
Space-time Prompting for Video Class-incremental Learning—0
GPS: Distilling Compact Memories via Grid-based Patch Sampling for Efficient Online Class-Incremental Learning—0
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning—0
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning—0
Continual Class Incremental Learning for CT Thoracic Segmentation—0
GRASP: A Rehearsal Policy for Efficient Online Continual Learning—0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning—0
Hard ASH: Sparsity and the right optimizer make a continual learner—0
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning—0
HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring—0
Hebbian Continual Representation Learning—0
Adaptive Discovering and Merging for Incremental Novel Class Discovery—0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning—0
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning—0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation—0
Hyperparameters in Continual Learning: A Reality Check—0
SRIL: Selective Regularization for Class-Incremental Learning—0
Confidence Self-Calibration for Multi-Label Class-Incremental Learning—0
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning—0
Condensed Prototype Replay for Class Incremental Learning—0
IL2M: Class Incremental Learning With Dual Memory—0
Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning—0
Improving Feature Generalizability with Multitask Learning in Class Incremental 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