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Continual Learning

557 directly classified papers

Papers per year

Papers

Empowering Math Problem Generation and Reasoning for Large Language Model via Synthetic Data based Continual Learning Framework EMNLP 2025
CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization ICCV 2025
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing EMNLP 2025
Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection ICCV 2025
Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025
DAM: Dynamic Adapter Merging for Continual Video QA Learning WACV 2025
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning WACV 2025
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning ICCV 2025
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis ICCV 2025
ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning ICCV 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning AAAI 2025
Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype AAAI 2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025
Region-Based Optimization in Continual Learning for Audio Deepfake Detection AAAI 2025
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models AAAI 2025
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition AAAI 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction AAAI 2025
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract) AAAI 2025
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics ACL 2025
Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025
EvoCL: Continual Learning over Evolving Domains WACV 2025
Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning WACV 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025