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Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and
  Deep Multi-Task Learning Approaches
v1v2 (latest)

Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches

29 July 2019
Lu Wang
D. Zhu
ArXiv (abs)PDFHTML

Papers citing "Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches"

5 / 5 papers shown
Title
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
161
2,833
0
15 Jun 2017
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
82
388
0
16 Nov 2016
Trace Norm Regularised Deep Multi-Task Learning
Trace Norm Regularised Deep Multi-Task Learning
Yongxin Yang
Timothy M. Hospedales
FedML
108
220
0
13 Jun 2016
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
Jun Liu
Shuiwang Ji
Jieping Ye
161
731
0
09 May 2012
A neural network approach to ordinal regression
A neural network approach to ordinal regression
Jianlin Cheng
611
199
0
08 Apr 2007
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