Data Party THU

Feb 21, 2026 · Artificial Intelligence

Unlocking Compositional Generalization: Meta‑Learning Strategies for Neural Networks

This article examines how meta‑learning combined with compositionality enables neural networks to rapidly adapt to new tasks by formalizing hierarchical optimization, leveraging modular architectures with hypernetworks, and exploiting Transformer latent codes for effective compositional generalization.