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1906.03292
Cited By
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
7 June 2019
Muhammad Waleed Gondal
Manuel Wüthrich
Ðorðe Miladinovic
Francesco Locatello
M. Breidt
V. Volchkov
J. Akpo
Olivier Bachem
Bernhard Schölkopf
Stefan Bauer
OOD
DRL
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Papers citing
"On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset"
38 / 38 papers shown
Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
99
0
0
12 Mar 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti
Pranava Singhal
Avishek Ghosh
Sunita Sarawagi
CML
102
0
0
07 Feb 2025
Disentanglement Learning via Topology
Nikita Balabin
Daria Voronkova
I. Trofimov
Evgeny Burnaev
S. Barannikov
DRL
97
3
0
24 Aug 2023
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager
David Madras
J. Jacobsen
Marissa A. Weis
Kevin Swersky
T. Pitassi
R. Zemel
FaML
OOD
186
333
0
06 Jun 2019
On the Fairness of Disentangled Representations
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaML
DRL
73
226
0
31 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
77
210
0
29 May 2019
Disentangling Factors of Variation Using Few Labels
Francesco Locatello
Michael Tschannen
Stefan Bauer
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
DRL
CML
CoGe
82
124
0
03 May 2019
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters
Loic Matthey
Christopher P. Burgess
Alexander Lerchner
CoGe
80
169
0
21 Jan 2019
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Stephen James
Paul Wohlhart
Mrinal Kalakrishnan
Dmitry Kalashnikov
A. Irpan
Julian Ibarz
Sergey Levine
R. Hadsell
Konstantinos Bousmalis
88
446
0
18 Dec 2018
Towards a Definition of Disentangled Representations
I. Higgins
David Amos
David Pfau
S. Racanière
Loic Matthey
Danilo Jimenez Rezende
Alexander Lerchner
OCL
DRL
95
479
0
05 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
115
1,466
0
29 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
Xander Steenbrugge
Sam Leroux
Tim Verbelen
Bart Dhoedt
OOD
DRL
49
68
0
12 Nov 2018
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
127
1,877
0
01 Aug 2018
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair
Vitchyr H. Pong
Murtaza Dalal
Shikhar Bahl
Steven Lin
Sergey Levine
SSL
75
543
0
12 Jul 2018
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
A. Laversanne-Finot
Alexandre Péré
Pierre-Yves Oudeyer
DRL
52
87
0
04 Jul 2018
World Models
David R Ha
Jürgen Schmidhuber
SyDa
115
1,082
0
27 Mar 2018
Factorised spatial representation learning: application in semi-supervised myocardial segmentation
A. Chartsias
T. Joyce
G. Papanastasiou
S. Semple
M. Williams
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
DRL
72
69
0
19 Mar 2018
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
62
1,348
0
16 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway
Michael C. Mozer
FedML
DRL
CoGe
54
218
0
14 Feb 2018
State Representation Learning for Control: An Overview
Timothée Lesort
Natalia Díaz Rodríguez
Jean-François Goudou
David Filliat
OffRL
98
320
0
12 Feb 2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Jingwei Zhang
L. Tai
Peng Yun
Yufeng Xiong
Ming-Yuan Liu
Joschka Boedecker
Wolfram Burgard
46
122
0
01 Feb 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDL
DRL
78
523
0
02 Nov 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
104
415
0
26 Jul 2017
SCAN: Learning Hierarchical Compositional Visual Concepts
I. Higgins
Nicolas Sonnerat
Loic Matthey
Arka Pal
Christopher P. Burgess
Matko Bosnjak
Murray Shanahan
M. Botvinick
Demis Hassabis
Alexander Lerchner
OCL
DRL
CoGe
54
51
0
11 Jul 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth Narayanaswamy
Brooks Paige
Jan-Willem van de Meent
Alban Desmaison
Noah D. Goodman
Pushmeet Kohli
Frank Wood
Philip Torr
DRL
CoGe
115
362
0
01 Jun 2017
Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations
Diane Bouchacourt
Ryota Tomioka
Sebastian Nowozin
BDL
OOD
DRL
54
313
0
24 May 2017
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GAN
BDL
66
633
0
19 May 2017
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
Yen-Cheng Liu
Yu-Ying Yeh
Tzu-Chien Fu
Sheng-De Wang
Wei-Chen Chiu
Y. Wang
DRL
OOD
74
10
0
03 May 2017
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jiaqi Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRL
CML
89
490
0
10 Nov 2016
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
107
1,450
0
22 Aug 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
157
4,235
0
12 Jun 2016
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni
William F. Whitney
Pushmeet Kohli
J. Tenenbaum
DRL
BDL
94
929
0
11 Mar 2015
Discovering Hidden Factors of Variation in Deep Networks
Brian Cheung
J. Livezey
Arjun K. Bansal
Bruno A. Olshausen
DRL
67
193
0
20 Dec 2014
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
234
8,401
0
28 Nov 2014
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSL
FAtt
109
532
0
21 Nov 2014
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
439
16,940
0
20 Dec 2013
On Causal and Anticausal Learning
Bernhard Schölkopf
Dominik Janzing
J. Peters
Eleni Sgouritsa
Kun Zhang
Joris Mooij
CML
81
607
0
27 Jun 2012
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
253
12,431
0
24 Jun 2012
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