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Continual Learning

1895 directly classified papers

Papers per year

Papers

Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition WACV 2025
HFT: Half Fine-Tuning for Large Language Models ACL 2025
Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA ACL 2025
Meta-Reflection: A Feedback-Free Reflection Learning Framework ACL 2025
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025
Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning ICCV 2025
Exploring Forgetting in Large Language Model Pre-Training ACL 2025
Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025
Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios ICCV 2025
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis ICCV 2025
Joint Diffusion Models in Continual Learning ICCV 2025
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning ICCV 2025
A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment ICCV 2025
Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection ICCV 2025
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization ICCV 2025
Continual Personalization for Diffusion Models ICCV 2025
CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization ICCV 2025
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy AAAI 2025
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling AAAI 2025
AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation AAAI 2025
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement ICCV 2025
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective AAAI 2025
Region-Based Optimization in Continual Learning for Audio Deepfake Detection AAAI 2025