Diagonal plus Low-Rank

New DLoR framework proves universal approximation with sparse diagonal components

Researchers have introduced a new framework called Structural Correspondence for neural networks that use parameter-efficient low-rank structures. This framework demonstrates that augmenting low-rank layers with a minim…