Springer Nature OA
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CC BY-NC-ND 4.0
ColonelAdaptAI a prototype guided perturbation learning framework for stable continual neural network adaptation
computer-sciencedata-mining-and-knowledge-discoverynatural-language-processing-nlppattern-recognition
Continual learning has become a necessity for intelligent systems operating in dynamic environments where new tasks arrive one after another, such as in multi-task reinforcement learning. While traditional deep learning models perform exceptionally well in static settings, they suffer from catastrop
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