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A practical guide to streaming continual learning
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DOI：10.1016/j.neucom.2026.132951.png)
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Abstract
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• We provide a short background on Streaming Machine Learning (SML) and Continual Learning (CL), highlighting their similarities and differences. • We define the Streaming Continual Learning (SCL) scenario, which offers the opportunity to merge ideas from CL and SML into a unified paradigm. • We conduct an empirical evaluation showcasing the need for Streaming Continual Learning (SCL).
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Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.png)
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