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GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning.
Xin Dong
Ruize Wu
Chao Xiong
Hai Li
Lei Cheng
Yong He
Shiyou Qian
Jian Cao
Linjian Mo
Published in:
CoRR (2023)
Keyphrases
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multi task learning
multi task
gaussian processes
learning tasks
multiple tasks
loss function
multitask learning
social networks
feature selection
mutual information
graph cuts
theoretical analysis
learning problems
latent variables
learning models