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Metric-Based Meta-Learning
Category of meta-learning that focuses on learning distance or similarity functions to compare examples, without explicit adaptation of model parameters. These approaches include prototypical networks and matching networks.
terimler
Model-Based Meta-Learning
Meta-learning approach that designs neural network architectures with internal memories or attention mechanisms to quickly store and retrieve information about new tasks. These models can adapt in a single forward pass.
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