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Found 2 papers, 1 papers with code
Incremental Concept Learning via Online Generative Memory Recall
The main reason for catastrophic forgetting is that the past concept data is not available and neural weights are changed during incrementally learning new concepts.
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
The TargetNet module is a neural network for solving a specific task and the MetaNet module aims at learning to generate functional weights for TargetNet by observing training samples.
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