Continual Learning
2,107 papers
Papers per year
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1
4
7
6
4
25
43
78
139
219
252
388
385
421
133
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Papers
Adapt Before Continual Learning
AAAI 2026
Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
EACL 2026
Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments
AAAI 2026
Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models
AAAI 2026
Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning
WACV 2026
Anatomical Domain Shifts: Test-time Heterogeneous Adaptation for 3D Human Pose Prediction
CVPR 2026
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
AAAI 2026
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling
AAAI 2026
Attention Retention for Continual Learning with Vision Transformers
AAAI 2026
Autonomous Concept Drift Threshold Determination
AAAI 2026
Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection
AAAI 2026
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
EACL 2026
Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning
AAAI 2026
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
AAAI 2026
Bring Your Dreams to Life: Continual Text-to-Video Customization
AAAI 2026
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles
WACV 2026
Catastrophic Forgetting in Kolmogorov-Arnold Networks
AAAI 2026
CiNuSeg: Class Incremental Nuclei Segmentation via Anchor-driven Consistency Learning with Dual Region Regularization
AAAI 2026
CIP-Net: Continual Interpretable Prototype-based Network
AAAI 2026
Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
AAAI 2026
Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers
AAAI 2026
Composition-Incremental Learning for Compositional Generalization
AAAI 2026
ConSurv: Multimodal Continual Learning for Survival Analysis
AAAI 2026
Continual Neural Topic Model
EACL 2026
Continual Out-of-Distribution Detection with Analytic Neural Collapse
AAAI 2026