Researchers at the University of Maryland Propose a Unified Machine Learning Framework for Continual Learning (CL)

Continual Learning (CL) is a method that focuses on gaining knowledge from dynamically changing data distributions. This technique mimics real-world scenarios and helps improve the performance of a model as it encounters new data while retaining previous information. However, CL faces a challenge called catastrophic forgetting, in which the model forgets or overwrites previous knowledge […]

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