GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning

Xin Dong, Ruize Wu, Chao Xiong +6

Multi-task learning (MTL) aims at solving multiple related tasks simultaneously and has experienced rapid growth in recent years. However, MTL models often suffer from performance…