Continual Learning

CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning AAAI 2026 Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026 Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026 Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning AAAI 2026 Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation AAAI 2026 Decoupling Continual Semantic Segmentation AAAI 2026 Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026 Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation CVPR 2026 DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning AAAI 2026 Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs EACL 2026 Detecting Unknown Objects via Energy-based Separation for Open World Object Detection CVPR 2026 DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning AAAI 2026 Diffusion-calibrated Continual Test-time Adaptation AAAI 2026 Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory AAAI 2026 DREAM: Dynamic Prompts and GuidedMix for Efficient Continual Adaptation of Visual-Language Models WACV 2026 Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning AAAI 2026 Dual-Estimator: Decoupling Global and Local Semantic Shift for Drift Compensation in Class-Incremental Learning CVPR 2026 ELLA: Efficient Lifelong Learning for Adapters in Large Language Models EACL 2026 E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering AAAI 2026 Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure CVPR 2026 Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning AAAI 2026 FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026 First Learn, Then Review: Human-Like Continual Learning for Cross-View Geo-Localization with Limited Field of View AAAI 2026 Forget Less by Learning from Parents Through Hierarchical Relationships AAAI 2026 Forget Less by Learning Together through Concept Consolidation WACV 2026