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Continual Learning

1895 directly classified papers

Papers per year

Papers

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

MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning AAAI 2026

Towards Robust Edge Model Adaptation via Elastic Architecture Search AAAI 2026

Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026

CIP-Net: Continual Interpretable Prototype-based Network AAAI 2026

Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition AAAI 2026

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

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm AAAI 2026

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

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026

Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026

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

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

UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning AAAI 2026

Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs AAAI 2026

Continual Out-of-Distribution Detection with Analytic Neural Collapse AAAI 2026

Unified Representation Causal Prompt Distillation for Re-Inference-Free Lifelong Person Re-Identification AAAI 2026

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation AAAI 2026

Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding AAAI 2026

YOLO-IOD: Towards Real Time Incremental Object Detection AAAI 2026

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

Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection AAAI 2026

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

Mitigating Negative Flips via Margin Preserving Training AAAI 2026

MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction AAAI 2026