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

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

31 January 2023
Xin Dong
Ruize Wu
Chao Xiong
Hai Li
Lei Cheng
Yong He
Shiyou Qian
Jian Cao
Linjian Mo
ArXivPDFHTML

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

3 / 3 papers shown
Title
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction
Yanmei Zhang
Rui Yang
Yutao Yue
Eng Gee Lim
39
1
0
11 Oct 2024
Physics-Informed Learning of Characteristic Trajectories for Smoke
  Reconstruction
Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction
Yiming Wang
Siyu Tang
Mengyu Chu
AI4CE
42
3
0
12 Jul 2024
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
1