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Continual Learning

1895 directly classified papers

Papers per year

Papers

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025
CoME: An Unlearning-based Approach to Conflict-free Model Editing NAACL 2025
Efficient Prompting for Continual Adaptation to Missing Modalities NAACL 2025
Prototype Conditioned Generative Replay for Continual Learning in NLP NAACL 2025
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction IJCAI 2025
External Knowledge Injection for CLIP-Based Class-Incremental Learning ICCV 2025
Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay COLING 2025
Continual Learning Using Only Large Language Model Prompting COLING 2025
Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection COLING 2025
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy AAAI 2025
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective AAAI 2025
GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation AAAI 2025
Region-Based Optimization in Continual Learning for Audio Deepfake Detection AAAI 2025
When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation AAAI 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling AAAI 2025
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation AAAI 2025
In-context Continual Learning Assisted by an External Continual Learner COLING 2025
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype AAAI 2025
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning ICCV 2025
CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization ICCV 2025
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning NAACL 2025
Federated Incremental Named Entity Recognition COLING 2025