🏢 Peking University
A Canonicalization Perspective on Invariant and Equivariant Learning
·2927 words·14 mins·
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Machine Learning
Deep Learning
🏢 Peking University
Canonicalization simplifies invariant and equivariant learning by connecting frames to canonical forms, leading to novel, superior frame designs for eigenvector symmetries.