← Learning Paradigms
Machine Learning › Learning Paradigms ›

Continual Learning

557 directly classified papers

Papers per year

Papers

PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit WACV 2026
CADE: Continual Weakly-supervised Video Anomaly Detection with Ensembles WACV 2026
Forget Less by Learning Together through Concept Consolidation WACV 2026
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning CVPR 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing EMNLP 2025
SEC-Prompt:SEmantic Complementary Prompting for Few-Shot Class-Incremental Learning CVPR 2025
Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling CVPR 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging EMNLP 2025
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing EMNLP 2025
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025
Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework ACL 2025
CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025
AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs EMNLP 2025
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning AAAI 2025
Multilingual Continual Learning using Attention Distillation COLING 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection EMNLP 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models ICCV 2025
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning ACL 2025
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract) AAAI 2025
Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus: A Case Study for Hindi LLMs COLING 2025
Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory ACL 2025
Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali COLING 2025