Deep Dimension Reduction for Supervised Representation Learning-Reference-Cited by-同舟云学术

Deep Dimension Reduction for Supervised Representation Learning

Published:2024-05 Issue:5 Volume:70 Page:3583-3598
ISSN:0018-9448
Container-title:IEEE Transactions on Information Theory
language:
Short-container-title:IEEE Trans. Inform. Theory

Author:

Huang Jian¹^ORCID,Jiao Yuling²,Liao Xu³,Liu Jin⁴^ORCID,Yu Zhou⁵

Affiliation:

1. Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR, China

2. School of Mathematics and Statistics and the Hubei Key Laboratory of Computational Science, Wuhan University, Wuhan, China

3. Center of Quantitative Medicine, Duke-NUS Medical School, 8 College Road, Singapore

4. School of Data Science, The Chinese University of Hong Kong (Shenzhen), Shenzhen, China

5. School of Statistics, Key Laboratory of Advanced Theory and Application in Statistics and Data Science, Ministry of Education (KLATASDS-MOE), East China Normal University, Shanghai, China

Funder

National Natural Science Foundation of China

The Hong Kong Polytechnic University

Fundamental Research Funds for the Central Universities

Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science, Ministry of Education (KLATASDS-MOE) of China

University Development Fund from The Chinese University of Hong Kong, Shenzhen

Shanghai Pilot Program for Basic Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/18/10507193/10456552.pdf?arnumber=10456552

Reference65 articles.

1. Representation Learning: A Review and New Perspectives

2. Deep learning

3. Understanding intermediate layers using linear classifier probes;Alain;arXiv:1610.01644,2016

4. Sliced Inverse Regression for Dimension Reduction

5. Kernel dimension reduction in regression

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Disentangled variational auto-encoder for multimodal fusion performance analysis in multimodal sentiment analysis;Knowledge-Based Systems;2024-10

2. Deep nonlinear sufficient dimension reduction;The Annals of Statistics;2024-06-01

3. Dimension reduction-based adaptive-to-model semi-supervised classification;Statistical Papers;2024-05-30