Continual Learning

Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models CVPR 2026 Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats CVPR 2026 SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning CVPR 2026 Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning CVPR 2026 Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning ACL 2026 Sparse Spectral LoRA: Routed Experts for Medical VLMs CVPR 2026 Spectral Mixture-of-Experts for Continual Learning CVPR 2026 SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation CVPR 2026 TAPE: Task-Adaptive Prototype Evolution in Audio-Language Models for Fully Few-shot Class-incremental Audio Classification CVPR 2026 Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing UAI 2026 Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning CVPR 2026 The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models CVPR 2026 The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation CVPR 2026 Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective CVPR 2026 Towards Dynamic Modality Alignment in Multimodal Continual Learning CVPR 2026 Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation MIDL 2026 Towards Stable Federated Continual Test-Time Adaptation in Wild World CVPR 2026 Unlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework CVPR 2026 Vision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification CVPR 2026 WeMMU: Enhanced Bridging of Vision-Language Models and Diffusion Models via Noisy Query Tokens CVPR 2026 Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models CVPR 2026 AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation AAAI 2025 Adaptive Prototype Replay for Class Incremental Semantic Segmentation AAAI 2025 A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning ACL 2025 Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models Interspeech 2025