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Continual Learning

1895 directly classified papers

Papers per year

Papers

CiNuSeg: Class Incremental Nuclei Segmentation via Anchor-driven Consistency Learning with Dual Region Regularization AAAI 2026

Unifying Locality of KANs and Feature Drift Compensation Projection for Data-Free Replay Based Continual Face Forgery Detection AAAI 2026

ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion AAAI 2026

Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning AAAI 2026

Lifelong Language-Conditioned Robotic Manipulation Learning AAAI 2026

Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning AAAI 2026

Towards Robust Edge Model Adaptation via Elastic Architecture Search AAAI 2026

Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026

Online Cross-Modal Hashing with Expanding Label Space AAAI 2026

DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning AAAI 2026

Forgetting by Pruning: Data Deletion in Join Cardinality Estimation AAAI 2026

Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning AAAI 2026

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026

Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning AAAI 2026

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026

Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning AAAI 2026

Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026

PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning AAAI 2026

Catastrophic Forgetting in Kolmogorov-Arnold Networks AAAI 2026

Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory AAAI 2026

Diffusion-calibrated Continual Test-time Adaptation AAAI 2026

Learning Adaptive and Expandable Mixture Model for Continual Learning AAAI 2026

Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint AAAI 2026

Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026

Lifelong Domain Adaptive 3D Human Pose Estimation AAAI 2026