Continual Learning

Lifelong Language-Conditioned Robotic Manipulation Learning AAAI 2026 LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning AAAI 2026 MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering AAAI 2026 MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning AAAI 2026 MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation WACV 2026 MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images WACV 2026 MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning EACL 2026 MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization AAAI 2026 Mitigating Negative Flips via Margin Preserving Training AAAI 2026 MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction AAAI 2026 MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 Multi-Label Classification with Incremental and Decremental Features AAAI 2026 Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint AAAI 2026 New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts (Student Abstract) AAAI 2026 No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR EACL 2026 Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026 Online Cross-Modal Hashing with Expanding Label Space AAAI 2026 OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026 ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation AAAI 2026 PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning AAAI 2026 Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026 Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs AAAI 2026 Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning AAAI 2026