25 citations · 79 across the 7 of their papers we have counts for
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cs.LG2026
Asymptotic Behavior of Multi--Task Learning: Implicit Regularization and Double Descent Effects
Ayed M. Alrashdi, Oussama Dhifallah, Houssem Sifaou
Multi--task learning seeks to improve the generalization error by leveraging the common information shared by multiple related tasks. One challenge in multi--task learning is ident…
cs.LG2021★ 14 cited
On the Inherent Regularization Effects of Noise Injection During Training
Oussama Dhifallah, Yue M. Lu
Randomly perturbing networks during the training process is a commonly used approach to improving generalization performance. In this paper, we present a theoretical study of one p…
cs.LG2021★ 14 cited
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons
Oussama Dhifallah, Yue M. Lu
Transfer learning seeks to improve the generalization performance of a target task by exploiting the knowledge learned from a related source task. Central questions include decidin…