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Continual Learning
557 directly classified papers
Papers per year
2014: 2
2015: 1
2017: 6
2018: 6
2019: 14
2020: 39
2021: 65
2022: 84
2023: 102
2024: 105
2025: 130
2026: 3
Papers
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning
CVPR 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
CVPR 2025
ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation
CVPR 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
CVPR 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
CVPR 2025
One-for-More: Continual Diffusion Model for Anomaly Detection
CVPR 2025
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
CVPR 2025
Multi-Stage LLM Fine-Tuning with a Continual Learning Setting
NAACL 2025
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
AAAI 2025
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
AAAI 2025
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation
AAAI 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
ACL 2025
ConDo: Continual Domain Expansion for Absolute Pose Regression
AAAI 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
AAAI 2025
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
AAAI 2025
Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
AAAI 2025
When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract)
AAAI 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
EMNLP 2025
Serial Lifelong Editing via Mixture of Knowledge Experts
ACL 2025
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning
EMNLP 2025
Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus: A Case Study for Hindi LLMs
COLING 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing
EMNLP 2025
AIC3DOD: Advancing Indoor Class-Incremental 3D Object Detection with Point Transformer Architecture and Room Layout Constraints
WACV 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
EMNLP 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
AAAI 2025
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