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cs.LG2022
Canonical convolutional neural networks
Lokesh Veeramacheneni, Moritz Wolter, Reinhard Klein +1
We introduce canonical weight normalization for convolutional neural networks. Inspired by the canonical tensor decomposition, we express the weight tensors in so-called canonical…
quant-ph2022★ 58 cited
Feature Selection on Quantum Computers
Sascha Mücke, Raoul Heese, Sabine Müller +2
In machine learning, fewer features reduce model complexity. Carefully assessing the influence of each input feature on the model quality is therefore a crucial preprocessing step.…