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To Regularize or Not To Regularize? The Bias Variance Trade-off in
  Regularized AEs
v1v2 (latest)

To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs

10 June 2020
A. Mondal
Himanshu Asnani
Parag Singla
A. Prathosh
    DRL
ArXiv (abs)PDFHTML

Papers citing "To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs"

18 / 18 papers shown
Title
Understanding the Limitations of Variational Mutual Information
  Estimators
Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song
Stefano Ermon
SSLDRL
72
203
0
14 Oct 2019
Learning Hierarchical Priors in VAEs
Learning Hierarchical Priors in VAEs
Alexej Klushyn
Nutan Chen
Richard Kurle
Botond Cseke
Patrick van der Smagt
BDLCMLDRL
42
100
0
13 May 2019
Diagnosing and Enhancing VAE Models
Diagnosing and Enhancing VAE Models
Bin Dai
David Wipf
DRL
63
380
0
14 Mar 2019
Variational Autoencoder with Implicit Optimal Priors
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi
Tomoharu Iwata
Yuki Yamanaka
Masanori Yamada
Satoshi Yagi
DRL
76
64
0
14 Sep 2018
Assessing Generative Models via Precision and Recall
Assessing Generative Models via Precision and Recall
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
78
577
0
31 May 2018
Distribution Matching in Variational Inference
Distribution Matching in Variational Inference
Mihaela Rosca
Balaji Lakshminarayanan
S. Mohamed
GANCMLDRL
63
98
0
19 Feb 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
62
1,350
0
16 Feb 2018
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
65
1,013
0
28 Nov 2017
Learnable Explicit Density for Continuous Latent Space and Variational
  Inference
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Chin-Wei Huang
Ahmed Touati
Laurent Dinh
M. Drozdzal
Mohammad Havaei
Laurent Charlin
Aaron Courville
BDLDRL
85
28
0
06 Oct 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GANBDL
66
633
0
19 May 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
210
9,548
0
31 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
83
2,109
0
17 Jan 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
154
1,656
0
02 Jun 2016
Stick-Breaking Variational Autoencoders
Stick-Breaking Variational Autoencoders
Marco Cote
Padhraic Smyth
BDLDRL
118
163
0
20 May 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
173
2,070
0
31 Dec 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
89
2,228
0
18 Nov 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
244
8,408
0
28 Nov 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
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