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Continual Learning

2,107 papers

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Papers

PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit WACV 2026 Quantum-Gated Task-interaction Knowledge Distillation for Pre-trained Model-based Class-Incremental Learning CVPR 2026 Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026 Reframing Long-Tailed Learning via Loss Landscape Geometry CVPR 2026 Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning AAAI 2026 RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation AAAI 2026 ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks AAAI 2026 R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models AAAI 2026 S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning AAAI 2026 SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026 SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data CVPR 2026 Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation AAAI 2026 Sparse Adapter Fusion for Continual Learning in NLP EACL 2026 Sparse Tuning Enhances Plasticity in PTM-based Continual Learning AAAI 2026 Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding AAAI 2026 Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection AAAI 2026 Structure Detection for Contextual Reinforcement Learning AAAI 2026 SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities WACV 2026 Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing UAI 2026 TELLME: Test-Enhanced Learning for Language Model Enrichment EACL 2026 Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026 Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning AAAI 2026 Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026 Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning AAAI 2026 Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios AAAI 2026