Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels

Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels explores Investigating the phenomenon of grokking in feature learning kernels, showing that breaking data symmetry is crucial for generalization. in Machine Learning Theory.