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Do-Operation Guided Causal Representation Learning with Reduced
  Supervision Strength
v1v2 (latest)

Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength

3 June 2022
Jiageng Zhu
Hanchen Xie
Wael AbdAlmageed
    CML
ArXiv (abs)PDFHTML

Papers citing "Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength"

13 / 13 papers shown
Title
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Transporting Causal Mechanisms for Unsupervised Domain Adaptation
Zhongqi Yue
Qianru Sun
Xiansheng Hua
Hanwang Zhang
CML
139
56
0
23 Jul 2021
Towards Causal Representation Learning
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OODCMLAI4CE
146
322
0
22 Feb 2021
A Graph Autoencoder Approach to Causal Structure Learning
A Graph Autoencoder Approach to Causal Structure Learning
Ignavier Ng
Shengyu Zhu
Zhitang Chen
Zhuangyan Fang
BDLCML
74
83
0
18 Nov 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
DRLCMLCoGe
103
124
0
03 May 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu
Jie Chen
Tian Gao
Mo Yu
BDLCMLGNN
89
490
0
22 Apr 2019
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
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
148
1,475
0
29 Nov 2018
Isolating Sources of Disentanglement in Variational Autoencoders
Isolating Sources of Disentanglement in Variational Autoencoders
T. Chen
Xuechen Li
Roger C. Grosse
David Duvenaud
DRL
85
447
0
14 Feb 2018
CausalGAN: Learning Causal Implicit Generative Models with Adversarial
  Training
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu
Christopher Snyder
A. Dimakis
S. Vishwanath
GANOOD
107
257
0
06 Sep 2017
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
488
9,076
0
10 Jun 2016
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
268
8,433
0
28 Nov 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
486
16,916
0
20 Dec 2013
Equitability, mutual information, and the maximal information
  coefficient
Equitability, mutual information, and the maximal information coefficient
J. Kinney
G. Atwal
106
612
0
31 Jan 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
300
12,467
0
24 Jun 2012
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