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Learning to Learn for Few-shot Continual Active Learning
Recent advances in CL are mostly confined to a supervised learning setting, especially in NLP domain.
Prototype-Guided Memory Replay for Continual Learning
Continual learning (CL) refers to a machine learning paradigm that learns continuously without forgetting previously acquired knowledge.
Federated Learning Meets Natural Language Processing: A Survey
Recent Natural Language Processing techniques rely on deep learning and large pre-trained language models.
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