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1911.04060
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Invariant Representations through Adversarial Forgetting
11 November 2019
Ayush Jaiswal
Daniel Moyer
Greg Ver Steeg
Wael AbdAlmageed
Premkumar Natarajan
OOD
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Papers citing
"Invariant Representations through Adversarial Forgetting"
19 / 19 papers shown
Title
NIESR: Nuisance Invariant End-to-end Speech Recognition
I-Hung Hsu
Ayush Jaiswal
Premkumar Natarajan
25
6
0
07 Jul 2019
Unified Adversarial Invariance
Ayush Jaiswal
Yuehua Wu
Wael AbdAlmageed
Premkumar Natarajan
CML
33
10
0
07 May 2019
RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance
Ayush Jaiswal
Shuai Xia
I. Masi
Wael AbdAlmageed
AAML
37
15
0
08 Mar 2019
Unsupervised Adversarial Invariance
Ayush Jaiswal
Yue Wu
Wael AbdAlmageed
Premkumar Natarajan
OOD
CML
70
48
0
26 Sep 2018
Invariant Representations without Adversarial Training
Daniel Moyer
Shuyang Gao
Rob Brekelmans
Greg Ver Steeg
Aram Galstyan
OOD
44
210
0
24 May 2018
Information Constraints on Auto-Encoding Variational Bayes
Romain Lopez
Jeffrey Regier
Michael I. Jordan
N. Yosef
BDL
55
122
0
22 May 2018
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
107
4,584
0
26 Oct 2017
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille
Stefano Soatto
OOD
DRL
69
473
0
05 Jun 2017
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample
Neil Zeghidour
Nicolas Usunier
Antoine Bordes
Ludovic Denoyer
MarcÁurelio Ranzato
DRL
GAN
85
545
0
01 Jun 2017
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie
Zihang Dai
Yulun Du
Eduard H. Hovy
Graham Neubig
OOD
65
291
0
31 May 2017
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
80
1,697
0
01 Dec 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation
Alessandro Achille
Stefano Soatto
OOD
DRL
SSL
40
397
0
04 Nov 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Y. Zhang
Kibok Lee
Honglak Lee
SSL
62
143
0
21 Jun 2016
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
151
633
0
03 Nov 2015
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
343
9,418
0
28 May 2015
Learning unbiased features
Yujia Li
Kevin Swersky
R. Zemel
OOD
SSL
FaML
45
70
0
17 Dec 2014
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
358
16,962
0
20 Dec 2013
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
182
12,384
0
24 Jun 2012
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
166
2,348
0
15 May 2008
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