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Feb 28, 2024 · Abstract:Continual Learning (CL) aims to learn a sequence of problems (i.e., tasks and domains) by transferring knowledge acquired on previous problems, ...
Aug 22, 2024 · Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive.
Mar 27, 2024 · Continual Learning (CL) aims to learn a sequence of prob- lems (i.e., tasks and domains) by transferring knowledge ac- quired on previous problems, whilst ...
Jul 16, 2024 · In this paper, we propose Dirichlet Continual Learning (DCL), a novel generative-based rehearsal strategy designed specifically for CL.
Oct 10, 2024 · This article dives into the transformative power of continual learning, exploring how it's reshaping industries from fraud detection to autonomous driving.
May 28, 2024 · We delve into a comprehensive review, summarization, and classification of the existing literature on CL-based approaches applied to foundation language models.
Oct 19, 2024 · Continual learning (CL) emerges as a crucial solution to the ongoing challenge of seamlessly acquiring new knowledge while retaining previous insights. It is ...
Jul 19, 2024 · Continual learning refers to the ability to learn from non-stationary information streams incrementally.
Aug 4, 2024 · We dive deep into different approaches to continual learning, a method to add new information to a trained model while preserving its existing knowledge.