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NashAE: Disentangling Representations through Adversarial Covariance
  Minimization

NashAE: Disentangling Representations through Adversarial Covariance Minimization

21 September 2022
Eric C. Yeats
Frank Liu
David A. P. Womble
Hai Helen Li
    CML
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Papers citing "NashAE: Disentangling Representations through Adversarial Covariance Minimization"

3 / 3 papers shown
Title
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Yeongmin Kim
Kwanghyeon Lee
Minsang Park
Byeonghu Na
Il-Chul Moon
DiffM
42
2
0
27 May 2024
ParamReL: Learning Parameter Space Representation via Progressively
  Encoding Bayesian Flow Networks
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks
Zhangkai Wu
Xuhui Fan
Jin Li
Zhilin Zhao
Hui Chen
LongBing Cao
44
2
0
24 May 2024
Natural Language Processing Advancements By Deep Learning: A Survey
Natural Language Processing Advancements By Deep Learning: A Survey
A. Torfi
Rouzbeh A. Shirvani
Yaser Keneshloo
Nader Tavvaf
Edward A. Fox
AI4CE
VLM
78
211
0
02 Mar 2020
1