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#RMS scale

SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning

Qifan Yu, Xinyu Ma et al.Feb 2arXiv

This paper shows how to safely make a neural network wider in the middle of training without it freaking out.

#Progressive Learning#Width Expansion#RMS scale