← Learning Types
Machine Learning › Learning Types ›

Continual Learning

1895 directly classified papers

Papers per year

Papers

LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs ACL 2025
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation AAAI 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning AAAI 2025
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning AAAI 2025
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy AAAI 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling AAAI 2025
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience AAAI 2025
CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning IJCAI 2025
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025
Multi-granularity Knowledge Transfer for Continual Reinforcement Learning IJCAI 2025
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis IJCAI 2025
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction IJCAI 2025
Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework EMNLP 2025
Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning ICCV 2025
Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios ICCV 2025
Unveiling and Addressing Pseudo Forgetting in Large Language Models ACL 2025
Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning WACV 2025
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition WACV 2025
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection WACV 2025
Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance EMNLP 2025
Adaptive Graph Unlearning IJCAI 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction AAAI 2025
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning WACV 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025
A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning WACV 2025