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An Adversarial Regularisation for Semi-Supervised Training of Structured
  Output Neural Networks

An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks

8 February 2017
Mateusz Koziñski
Loïc Simon
F. Jurie
    GAN
ArXivPDFHTML

Papers citing "An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks"

4 / 4 papers shown
Title
Discriminative Consistent Domain Generation for Semi-supervised Learning
Discriminative Consistent Domain Generation for Semi-supervised Learning
Jun Chen
Heye Zhang
Yanping Zhang
Shu Zhao
R. Mohiaddin
T. Wong
D. Firmin
Guang Yang
J. Keegan
MedIm
19
11
0
24 Jul 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene
  Parsing, Depth Estimation, and More
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye
Yixin Ji
Xinchao Wang
Kairi Ou
Dapeng Tao
Xiuming Zhang
MoMe
24
75
0
23 Apr 2019
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial
  and Multi-task Learning in Speech Recognition
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition
Yossi Adi
Neil Zeghidour
R. Collobert
Nicolas Usunier
Vitaliy Liptchinsky
Gabriel Synnaeve
29
40
0
09 Dec 2018
Unsupervisedly Training GANs for Segmenting Digital Pathology with
  Automatically Generated Annotations
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
M. Gadermayr
Laxmi Gupta
B. Klinkhammer
P. Boor
Dorit Merhof
GAN
MedIm
28
21
0
25 May 2018
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