Building adaptive knowledge bases for evolving continual learning models
This section details a new method for adapter-based, task-free continual learning utilizing a policy optimization approach to decide tasks. First,...
Continual
Domain-incremental white blood cell classification with privacy-aware continual learning
DatasetsWe utilize a series of WBC datasets demonstrating challenging domain shifts commonly found in clinical settings, which we refer to...
RanDumb: A Simple Yet Powerful AI Approach to Exemplar-Free Continual Learning
Continual learning is a rapidly evolving area of research that focuses on developing models capable of learning from sequentially arriving...
