New Neural Network Architecture Uses Canonical Correlations for Relational Structure
A new arXiv paper introduces Canonical Correlation Neural Networks, which leverage relational inductive biases like grids or graphs to reduce trainable parameters and improve generalization without requiring known structure.
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- 2026-11-06 05:00 · arXiv cs.LG
Canonical Correlation Neural Networks