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Continual Learning
1895 directly classified papers
Papers per year
2005: 1
2010: 1
2012: 1
2013: 4
2014: 7
2015: 6
2016: 4
2017: 25
2018: 35
2019: 75
2020: 126
2021: 202
2022: 221
2023: 362
2024: 351
2025: 353
2026: 121
Papers
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
AAAI 2026
DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning
AAAI 2026
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
AAAI 2026
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning
AAAI 2026
HiCL: Hippocampal-Inspired Continual Learning
AAAI 2026
Forget Less by Learning Together through Concept Consolidation
WACV 2026
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles
WACV 2026
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
WACV 2026
Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations
WACV 2026
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
WACV 2026
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
WACV 2026
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
EACL 2026
MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning
EACL 2026
Continual Neural Topic Model
EACL 2026
No Label? No Problem: Unsupervised Continual Learning for Adaptive Medical ASR
EACL 2026
Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning
AAAI 2026
ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks
AAAI 2026
Improving Sustainability of Adversarial Examples in Class-Incremental Learning
AAAI 2026
CiNuSeg: Class Incremental Nuclei Segmentation via Anchor-driven Consistency Learning with Dual Region Regularization
AAAI 2026
Unifying Locality of KANs and Feature Drift Compensation Projection for Data-Free Replay Based Continual Face Forgery Detection
AAAI 2026
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion
AAAI 2026
Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
AAAI 2026
Lifelong Language-Conditioned Robotic Manipulation Learning
AAAI 2026
Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning
AAAI 2026
Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning
AAAI 2026
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