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Hypernetworks
Neural networks that generate the weights of another network, used in meta-learning to quickly produce models adapted to new tasks with little data.
terimler
Non-Parametric Meta-Learning
Meta-learning approach that does not fix the number of parameters in advance, allowing the model to dynamically adapt to the complexity of new tasks by adjusting its representational capacity.
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