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Continual learning via local module composition
Modularity is a compelling solution to continual learning (CL), the problem of modeling
sequences of related tasks. Learning and then composing modules to solve different tasks …
sequences of related tasks. Learning and then composing modules to solve different tasks …
Continual hippocampus segmentation with transformers
In clinical settings, where acquisition conditions and patient populations change over time,
continual learning is key for ensuring the safe use of deep neural networks. Yet most …
continual learning is key for ensuring the safe use of deep neural networks. Yet most …
Effects of architectures on continual semantic segmentation
Research in the field of Continual Semantic Segmentation is mainly investigating novel
learning algorithms to overcome catastrophic forgetting of neural networks. Most recent …
learning algorithms to overcome catastrophic forgetting of neural networks. Most recent …