← Learning Types
Machine Learning › Learning Types ›

Continual Learning

1895 directly classified papers

Papers per year

Papers

Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025
Generalization-Preserved Learning: Closing the Backdoor to Catastrophic Forgetting in Continual Deepfake Detection ICCV 2025
RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning ICCV 2025
SAMULE: Self-Learning Agents Enhanced by Multi-level Reflection EMNLP 2025
Rethinking Long Context Generation from the Continual Learning Perspective COLING 2025
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons COLING 2025
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification AAAI 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging EMNLP 2025
Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction ACL 2025
Serial Lifelong Editing via Mixture of Knowledge Experts ACL 2025
Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025
Exploring Forgetting in Large Language Model Pre-Training ACL 2025
Orthogonal Finetuning Made Scalable EMNLP 2025
Meta-Reflection: A Feedback-Free Reflection Learning Framework ACL 2025
Joint Diffusion Models in Continual Learning ICCV 2025
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA ACL 2025
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025
Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation CVPR 2025
HFT: Half Fine-Tuning for Large Language Models ACL 2025
Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models IJCNLP 2025
Federated Continual Instruction Tuning ICCV 2025
Multilingual Continual Learning using Attention Distillation COLING 2025
A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment ICCV 2025