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most citedTakagi factorization of matrices depending on parameters and locating degeneracies of singular values

7 citations · 8 across the 3 of their papers we have counts for

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cs.LG2023

ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks

Stefania Bellavia, Francesco Della Santa, Alessandra Papini

This paper introduces novel alternate training procedures for hard-parameter sharing Multi-Task Neural Networks (MTNNs). Traditional MTNN training faces challenges in managing conf…