continual learning

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026 PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning AAAI 2026 Parameter-efficient Continual Learning for Enhancing Plasticity without Forgetting under Limited Model Capacity CVPR 2026 Parameterized Prompt for Incremental Object Detection CVPR 2026 PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning ACL 2026 PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit WACV 2026 Protect to Adapt: Orthogonal Subspace Control with Ranked Negative-Prompt Curriculum for Few-Shot Action Recognition CVPR 2026 Reframing Long-Tailed Learning via Loss Landscape Geometry CVPR 2026 Remembrall: Leaning into Memory for Accurate Video Analytics on System-on-Chip GPUs NSDI 2026 Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning AAAI 2026 Resolving the Stability-Plasticity Dilemma in Reinforcement Learning via Complementary Continual Critics CVPR 2026 RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation AAAI 2026 Robustness Under Data Scarcity: Few-Shot Continual Adversarial Training for Evolving Threats CVPR 2026 R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models AAAI 2026 SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning CVPR 2026 SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026 SLoRA: Balancing Plasticity and Forgetting in Large Language Models for Continual Learning ACL 2026 Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning ACL 2026 Sparse Adapter Fusion for Continual Learning in NLP EACL 2026 Sparse Spectral LoRA: Routed Experts for Medical VLMs CVPR 2026 Sparse Tuning Enhances Plasticity in PTM-based Continual Learning AAAI 2026 Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs ACL 2026 Spectral Mixture-of-Experts for Continual Learning CVPR 2026 Subspace Alignment for CLIP-based Continual Learning via Canonical Correlation Analysis CVPR 2026 Text Classification Under Class Distribution Shift: A Survey EACL 2026