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Multi-Level Variational Autoencoder: Learning Disentangled
  Representations from Grouped Observations

Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

24 May 2017
Diane Bouchacourt
Ryota Tomioka
Sebastian Nowozin
    BDL
    OOD
    DRL
ArXivPDFHTML

Papers citing "Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations"

14 / 64 papers shown
Title
Recognizing Variables from their Data via Deep Embeddings of
  Distributions
Recognizing Variables from their Data via Deep Embeddings of Distributions
Jonas W. Mueller
Alex Smola
16
9
0
11 Sep 2019
Demystifying Inter-Class Disentanglement
Demystifying Inter-Class Disentanglement
Aviv Gabbay
Yedid Hoshen
DRL
22
56
0
27 Jun 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a
  New Disentanglement Dataset
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal
Manuel Wüthrich
Ðorðe Miladinovic
Francesco Locatello
M. Breidt
V. Volchkov
J. Akpo
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
DRL
33
134
0
07 Jun 2019
DIVA: Domain Invariant Variational Autoencoders
DIVA: Domain Invariant Variational Autoencoders
Maximilian Ilse
Jakub M. Tomczak
Christos Louizos
Max Welling
DRL
OOD
33
198
0
24 May 2019
Disentangling Factors of Variation Using Few Labels
Disentangling Factors of Variation Using Few Labels
Francesco Locatello
Michael Tschannen
Stefan Bauer
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
DRL
CML
CoGe
34
123
0
03 May 2019
Rare Event Detection using Disentangled Representation Learning
Rare Event Detection using Disentangled Representation Learning
Ryuhei Hamaguchi
Ken Sakurada
Ryosuke Nakamura
DRL
20
35
0
04 Dec 2018
Disentangling Latent Hands for Image Synthesis and Pose Estimation
Disentangling Latent Hands for Image Synthesis and Pose Estimation
Linlin Yang
Angela Yao
CoGe
DRL
28
116
0
03 Dec 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations
  for Interventional Robustness
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter
Ðorðe Miladinovic
Bernhard Schölkopf
Stefan Bauer
CML
OOD
DRL
21
159
0
31 Oct 2018
Uncertainty in Multitask Transfer Learning
Uncertainty in Multitask Transfer Learning
Alexandre Lacoste
Boris N. Oreshkin
Wonchang Chung
Thomas Boquet
Negar Rostamzadeh
David M. Krueger
BDL
UQCV
SSL
24
21
0
20 Jun 2018
Structured Disentangled Representations
Structured Disentangled Representations
Babak Esmaeili
Hao Wu
Sarthak Jain
Alican Bozkurt
N. Siddharth
Brooks Paige
Dana H. Brooks
Jennifer Dy
Jan-Willem van de Meent
OOD
CML
BDL
DRL
36
165
0
06 Apr 2018
Learning to Write Stylized Chinese Characters by Reading a Handful of
  Examples
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
D. Sun
Tongzheng Ren
Chongxun Li
Hang Su
Jun Zhu
29
88
0
06 Dec 2017
DNA-GAN: Learning Disentangled Representations from Multi-Attribute
  Images
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Taihong Xiao
Jiapeng Hong
Jinwen Ma
DRL
31
90
0
15 Nov 2017
Generative Models of Visually Grounded Imagination
Generative Models of Visually Grounded Imagination
Ramakrishna Vedantam
Ian S. Fischer
Jonathan Huang
Kevin Patrick Murphy
25
138
0
30 May 2017
Neural Style Transfer: A Review
Neural Style Transfer: A Review
Yongcheng Jing
Yezhou Yang
Zunlei Feng
Jingwen Ye
Yizhou Yu
Xiuming Zhang
31
725
0
11 May 2017
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