Researchers advanced the capabilities of neural networks to make compositional generalizations, similar to how humans grasp and expand on new concepts. This new technique, named Meta-learning for Compositionality (MLC), challenges decades-old skepticism about the capacity of artificial neural networks.
Researchers advanced the capabilities of neural networks to make compositional generalizations, similar to how humans grasp and expand on new concepts. This new technique, named Meta-learning for Compositionality (MLC), challenges decades-old skepticism about the capacity of artificial neural networks.
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