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Semi-supervised Learning with GANs: Manifold Invariance with Improved
  Inference

Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference

24 May 2017
Abhishek Kumar
P. Sattigeri
P. T. Fletcher
    GAN
ArXivPDFHTML

Papers citing "Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference"

9 / 9 papers shown
Title
Knowledge Distillation for BERT Unsupervised Domain Adaptation
Knowledge Distillation for BERT Unsupervised Domain Adaptation
Minho Ryu
K. Lee
18
35
0
22 Oct 2020
Generating Semantic Adversarial Examples via Feature Manipulation
Generating Semantic Adversarial Examples via Feature Manipulation
Shuo Wang
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
Tianle Chen
AAML
31
12
0
06 Jan 2020
Discriminator Rejection Sampling
Discriminator Rejection Sampling
S. Azadi
Catherine Olsson
Trevor Darrell
Ian Goodfellow
Augustus Odena
30
131
0
16 Oct 2018
Is Generator Conditioning Causally Related to GAN Performance?
Is Generator Conditioning Causally Related to GAN Performance?
Augustus Odena
Jacob Buckman
Catherine Olsson
Tom B. Brown
C. Olah
Colin Raffel
Ian Goodfellow
AI4CE
35
112
0
23 Feb 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
61
1,251
0
12 Jan 2018
The Riemannian Geometry of Deep Generative Models
The Riemannian Geometry of Deep Generative Models
Hang Shao
Abhishek Kumar
P. T. Fletcher
DRL
31
179
0
21 Nov 2017
Global versus Localized Generative Adversarial Nets
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi
Liheng Zhang
Hao Hu
Marzieh Edraki
Jingdong Wang
Xian-Sheng Hua
GAN
32
81
0
16 Nov 2017
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo
Jun Zhu
Mengxi Li
Yong Ren
Bo Zhang
19
242
0
01 Nov 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative
  Adversarial Networks
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks
Cicero Nogueira dos Santos
Kahini Wadhawan
Bowen Zhou
GAN
32
30
0
07 Jul 2017
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