ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1802.05983
  4. Cited By
Disentangling by Factorising
v1v2v3 (latest)

Disentangling by Factorising

16 February 2018
Hyunjik Kim
A. Mnih
    CoGeOOD
ArXiv (abs)PDFHTML

Papers citing "Disentangling by Factorising"

40 / 790 papers shown
Title
A Tutorial on Deep Latent Variable Models of Natural Language
A Tutorial on Deep Latent Variable Models of Natural Language
Yoon Kim
Sam Wiseman
Alexander M. Rush
BDLVLM
121
42
0
17 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident)
Variational Autoencoders Pursue PCA Directions (by Accident)
Michal Rolínek
Dominik Zietlow
Georg Martius
OODDRL
78
153
0
17 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OODSSLDRL
89
447
0
12 Dec 2018
Structured Neural Topic Models for Reviews
Structured Neural Topic Models for Reviews
Babak Esmaeili
Hongyi Huang
Byron C. Wallace
Jan-Willem van de Meent
BDLDRL
19
3
0
12 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
806
10,625
0
12 Dec 2018
Disentangling Disentanglement in Variational Autoencoders
Disentangling Disentanglement in Variational Autoencoders
Emile Mathieu
Tom Rainforth
Siddharth Narayanaswamy
Yee Whye Teh
DRLCoGe
80
10
0
06 Dec 2018
Towards a Definition of Disentangled Representations
Towards a Definition of Disentangled Representations
I. Higgins
David Amos
David Pfau
S. Racanière
Loic Matthey
Danilo Jimenez Rezende
Alexander Lerchner
OCLDRL
136
480
0
05 Dec 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical
  Images with Structured Image Decomposition
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
Siqi Liu
Eli Gibson
Sasa Grbic
Zhoubing Xu
A. Setio
J. Yang
Bogdan Georgescu
Dorin Comaniciu
DiffMMedIm
105
18
0
04 Dec 2018
A Spectral Regularizer for Unsupervised Disentanglement
A Spectral Regularizer for Unsupervised Disentanglement
Aditya A. Ramesh
Youngduck Choi
Yann LeCun
DRL
97
42
0
04 Dec 2018
Generalization in anti-causal learning
Generalization in anti-causal learning
Niki Kilbertus
Giambattista Parascandolo
Bernhard Schölkopf
OODCML
80
53
0
03 Dec 2018
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
166
1,475
0
29 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled
  Feature Representations
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
Xander Steenbrugge
Sam Leroux
Tim Verbelen
Bart Dhoedt
OODDRL
78
68
0
12 Nov 2018
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for
  Deep Transparent Reinforcement Learning
Towards Governing Agent's Efficacy: Action-Conditional βββ-VAE for Deep Transparent Reinforcement Learning
John Yang
Gyujeong Lee
Minsung Hyun
Simyung Chang
Nojun Kwak
65
3
0
11 Nov 2018
Mode matching in GANs through latent space learning and inversion
Mode matching in GANs through latent space learning and inversion
Chao Weng
AP Prathosh
Dong Yu
Varun Srivastava
S. Chaudhury
GAN
62
2
0
08 Nov 2018
Disentangling Latent Factors of Variational Auto-Encoder with Whitening
Disentangling Latent Factors of Variational Auto-Encoder with Whitening
Md. Zahangir Alom
C. Yakopcic
CoGeDRL
45
2
0
08 Nov 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
CMLOODDRL
150
163
0
31 Oct 2018
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image
  Representations
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
Xian Wei
Hao Shen
M. Kleinsteuber
41
17
0
08 Oct 2018
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation
  Learning
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Daniel Coelho De Castro
Jeremy Tan
Bernhard Kainz
E. Konukoglu
Ben Glocker
DRL
75
71
0
27 Sep 2018
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle
  Encounters
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
Wenhao Ding
Wenshuo Wang
Ding Zhao
69
13
0
15 Sep 2018
Hyperprior Induced Unsupervised Disentanglement of Latent
  Representations
Hyperprior Induced Unsupervised Disentanglement of Latent Representations
Abdul Fatir Ansari
Harold Soh
CoGeCMLUDDRL
78
31
0
12 Sep 2018
Disentangled Variational Representation for Heterogeneous Face
  Recognition
Disentangled Variational Representation for Heterogeneous Face Recognition
Xiang Wu
Huaibo Huang
Vishal M. Patel
Ran He
Zhenan Sun
CVBM
115
83
0
06 Sep 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent
  Homologies
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
84
120
0
20 Aug 2018
Discovering physical concepts with neural networks
Discovering physical concepts with neural networks
Raban Iten
Tony Metger
H. Wilming
L. D. Rio
R. Renner
PINNAI4CE
125
391
0
26 Jul 2018
InfoCatVAE: Representation Learning with Categorical Variational
  Autoencoders
InfoCatVAE: Representation Learning with Categorical Variational Autoencoders
Edouard Pineau
Marc Lelarge
DRL
80
13
0
20 Jun 2018
Controllable Semantic Image Inpainting
Controllable Semantic Image Inpainting
Jin Xu
Yee Whye Teh
51
7
0
15 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
117
259
0
05 Jun 2018
Disentangling by Partitioning: A Representation Learning Framework for
  Multimodal Sensory Data
Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data
Wei-Ning Hsu
James R. Glass
DRL
79
43
0
29 May 2018
Dual Swap Disentangling
Dual Swap Disentangling
Zunlei Feng
Xinchao Wang
Chenglong Ke
Anxiang Zeng
Dacheng Tao
Xiuming Zhang
56
44
0
27 May 2018
Amortized Inference Regularization
Amortized Inference Regularization
Rui Shu
Hung Bui
Shengjia Zhao
Mykel J. Kochenderfer
Stefano Ermon
DRL
57
82
0
23 May 2018
Information Constraints on Auto-Encoding Variational Bayes
Information Constraints on Auto-Encoding Variational Bayes
Romain Lopez
Jeffrey Regier
Michael I. Jordan
N. Yosef
BDL
108
124
0
22 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by
  Interacting with the World
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
Yoshihide Sawada
DRL
68
10
0
19 Apr 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
OODCMLBDLDRL
88
169
0
06 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
121
242
0
31 Mar 2018
Factorised spatial representation learning: application in
  semi-supervised myocardial segmentation
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
108
69
0
19 Mar 2018
Music Style Transfer: A Position Paper
Music Style Transfer: A Position Paper
Shuqi Dai
Zheng Zhang
Gus G. Xia
123
49
0
19 Mar 2018
Auto-Encoding Total Correlation Explanation
Auto-Encoding Total Correlation Explanation
Shuyang Gao
Rob Brekelmans
Greg Ver Steeg
Aram Galstyan
BDLDRL
86
78
0
16 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway
Michael C. Mozer
FedMLDRLCoGe
92
219
0
14 Feb 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
90
447
0
14 Feb 2018
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDLCLL
152
120
0
27 May 2017
Neural Style Transfer: A Review
Neural Style Transfer: A Review
Yongcheng Jing
Yezhou Yang
Zunlei Feng
Jingwen Ye
Yizhou Yu
Xiuming Zhang
152
742
0
11 May 2017
Previous
123...141516