Continual Learning
408 papers
Papers per year
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1
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5
12
31
43
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56
74
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Papers
Elastic Weight Consolidation Done Right for Continual Learning
CVPR 2026
Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting
CVPR 2026
EW-DETR: Evolving World Object Detection via Incremental Low-Rank DEtection TRansformer
CVPR 2026
Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure
CVPR 2026
Exemplar-Free Continual Learning for State Space Models
CVPR 2026
Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments
CVPR 2026
Forget Less by Learning Together through Concept Consolidation
WACV 2026
From Experts to Bases: Orthogonal Subspace Mixture for Continual Multimodal Instruction Tuning
ACL 2026
From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity
CVPR 2026
Geometry-driven OOD Detectors Are Class-Incremental Learners
CVPR 2026
Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs
CVPR 2026
Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
ACL 2026
Incremental Object Detection via Future-Aware Decoupled Cross-Head Distillation
CVPR 2026
InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training
CVPR 2026
Is Parameter Isolation Better for Prompt-Based Continual Learning?
CVPR 2026
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
ACL 2026
Learning from Itself: Mining Internal Knowledge from Vision Language Models for Continual Learning
CVPR 2026
Live Interactive Training for Video Segmentation
CVPR 2026
Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance
CVPR 2026
OASIS: Online Sample Selection for Continual Instruction Tuning
ACL 2026
Parameter-efficient Continual Learning for Enhancing Plasticity without Forgetting under Limited Model Capacity
CVPR 2026
Parameterized Prompt for Incremental Object Detection
CVPR 2026
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
ACL 2026
Quantized Residuals to Continuous Prompts for Few-Shot Class Incremental Learning in Vision-Language Models
CVPR 2026
Reinforcement Learning on Pre-Training Data
ACL 2026