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Disentangling by Factorising
v1v2v3 (latest)

Disentangling by Factorising

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

Papers citing "Disentangling by Factorising"

50 / 790 papers shown
Title
Discrete and continuous representations and processing in deep learning:
  Looking forward
Discrete and continuous representations and processing in deep learning: Looking forward
Ruben Cartuyvels
Graham Spinks
Marie-Francine Moens
OCL
91
20
0
04 Jan 2022
Disentanglement and Generalization Under Correlation Shifts
Disentanglement and Generalization Under Correlation Shifts
Christina M. Funke
Paul Vicol
Kuan-Chieh Wang
Matthias Kümmerer
R. Zemel
Matthias Bethge
OOD
114
7
0
29 Dec 2021
Beta-VAE Reproducibility: Challenges and Extensions
Beta-VAE Reproducibility: Challenges and Extensions
M. Fil
Munib Mesinovic
Matthew Morris
J. Wildberger
DRL
39
9
0
28 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI Era
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
Eric Xing
EGVM
198
51
0
27 Dec 2021
Latte: Cross-framework Python Package for Evaluation of Latent-Based
  Generative Models
Latte: Cross-framework Python Package for Evaluation of Latent-Based Generative Models
Alon Jacovi
Junyoung Lee
Alexander Lerch
DRL
45
1
0
20 Dec 2021
Self-supervised Enhancement of Latent Discovery in GANs
Self-supervised Enhancement of Latent Discovery in GANs
Silpa Vadakkeeveetil Sreelatha
Adarsh Kappiyath
S. Sumitra
74
3
0
16 Dec 2021
Object Pursuit: Building a Space of Objects via Discriminative Weight
  Generation
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation
Chuanyu Pan
Yanchao Yang
Kaichun Mo
Yueqi Duan
Leonidas Guibas
OCL
41
1
0
15 Dec 2021
Multi-Modal Mutual Information Maximization: A Novel Approach for
  Unsupervised Deep Cross-Modal Hashing
Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing
Tuan Hoang
Thanh-Toan Do
Tam V. Nguyen
Ngai-Man Cheung
70
26
0
13 Dec 2021
On Causally Disentangled Representations
On Causally Disentangled Representations
Abbavaram Gowtham Reddy
Benin Godfrey L
V. Balasubramanian
OODCML
95
22
0
10 Dec 2021
Causal Imitative Model for Autonomous Driving
Causal Imitative Model for Autonomous Driving
Mohammad Reza Samsami
Mohammadhossein Bahari
Saber Salehkaleybar
Alexandre Alahi
CML
67
12
0
07 Dec 2021
Interactive Disentanglement: Learning Concepts by Interacting with their
  Prototype Representations
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer
Marius Memmel
P. Schramowski
Kristian Kersting
179
27
0
04 Dec 2021
Echocardiography Segmentation with Enforced Temporal Consistency
Echocardiography Segmentation with Enforced Temporal Consistency
Nathan Painchaud
Nicolas Duchateau
Olivier Bernard
Pierre-Marc Jodoin
93
54
0
03 Dec 2021
Learning Physical Concepts in Cyber-Physical Systems: A Case Study
Learning Physical Concepts in Cyber-Physical Systems: A Case Study
Henrik S. Steude
Alexander Windmann
Oliver Niggemann
AI4CE
72
1
0
28 Nov 2021
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric Xing
OOD
126
118
0
27 Nov 2021
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image
  Manipulation Empowered by Pre-Trained Vision-Language Model
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model
Zipeng Xu
Tianwei Lin
Hao Tang
Fu Li
Dongliang He
N. Sebe
Radu Timofte
Luc Van Gool
Errui Ding
EGVM
95
43
0
26 Nov 2021
Disentangled Unsupervised Image Translation via Restricted Information
  Flow
Disentangled Unsupervised Image Translation via Restricted Information Flow
Ben Usman
D. Bashkirova
Kate Saenko
59
2
0
26 Nov 2021
Learning Conditional Invariance through Cycle Consistency
Learning Conditional Invariance through Cycle Consistency
M. Samarin
V. Nesterov
Mario Wieser
Aleksander Wieczorek
S. Parbhoo
Volker Roth
67
3
0
25 Nov 2021
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch
  Feature Swapping for Bodies and Faces
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces
Simone Foti
Bongjin Koo
Danail Stoyanov
Matthew J. Clarkson
CoGe
45
15
0
24 Nov 2021
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential
  Recommendation
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation
Yunyi Li
Pengpeng Zhao
Guanfeng Liu
Yanchi Liu
Victor S. Sheng
Yongjing Hao
Xiaofang Zhou
74
13
0
20 Nov 2021
Learning Object-Centric Representations of Multi-Object Scenes from
  Multiple Views
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
Nanbo Li
Cian Eastwood
Robert B. Fisher
OCL
106
55
0
13 Nov 2021
Catalytic Role Of Noise And Necessity Of Inductive Biases In The
  Emergence Of Compositional Communication
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
Lukasz Kuciñski
Tomasz Korbak
P. Kołodziej
Piotr Milo's
111
20
0
11 Nov 2021
Object-Centric Representation Learning with Generative Spatial-Temporal
  Factorization
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Nanbo Li
Muhammad Ahmed Raza
Wenbin Hu
Zhaole Sun
Robert B. Fisher
OCL
73
15
0
09 Nov 2021
UnProjection: Leveraging Inverse-Projections for Visual Analytics of
  High-Dimensional Data
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
M. Espadoto
G. Appleby
Ashley Suh
Dylan Cashman
Mingwei Li
C. Scheidegger
Erik W. Anderson
Remco Chang
A. Telea
47
20
0
02 Nov 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
90
69
0
28 Oct 2021
Group-disentangled Representation Learning with Weakly-Supervised
  Regularization
Group-disentangled Representation Learning with Weakly-Supervised Regularization
Linh-Tam Tran
Amir Hosein Khasahmadi
Aditya Sanghi
Saeid Asgari Taghanaki
DRL
73
1
0
23 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGeDRL
110
42
0
22 Oct 2021
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
326
215
0
21 Oct 2021
Illiterate DALL-E Learns to Compose
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGeOCL
117
139
0
17 Oct 2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
Ligong Han
S. Musunuri
Martin Renqiang Min
Ruijiang Gao
Yu Tian
Dimitris N. Metaxas
DRL
64
14
0
17 Oct 2021
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative
  Approach to Exploring Many-to-one Maps
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Nico Courts
Henry Kvinge
38
4
0
13 Oct 2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape
  Generation
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation
Shidi Li
Miaomiao Liu
Christian J. Walder
3DPC
113
29
0
13 Oct 2021
Revisiting Latent-Space Interpolation via a Quantitative Evaluation
  Framework
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework
Lu Mi
Tianxing He
Core Francisco Park
Hao Wang
Yue Wang
Nir Shavit
91
10
0
13 Oct 2021
Discovery of Single Independent Latent Variable
Discovery of Single Independent Latent Variable
Uri Shaham
Jonathan Svirsky
Ori Katz
Ronen Talmon
CML
62
2
0
12 Oct 2021
Learning Temporally Causal Latent Processes from General Temporal Data
Learning Temporally Causal Latent Processes from General Temporal Data
Weiran Yao
Yuewen Sun
Alex Ho
Changyin Sun
Kun Zhang
BDLCML
120
87
0
11 Oct 2021
Disentangled Sequence to Sequence Learning for Compositional
  Generalization
Disentangled Sequence to Sequence Learning for Compositional Generalization
Hao Zheng
Mirella Lapata
CoGeDRL
92
39
0
09 Oct 2021
Boxhead: A Dataset for Learning Hierarchical Representations
Boxhead: A Dataset for Learning Hierarchical Representations
Yukun Chen
Andrea Dittadi
Frederik Trauble
Stefan Bauer
Bernhard Schölkopf
CML
182
2
0
07 Oct 2021
On the relationship between disentanglement and multi-task learning
On the relationship between disentanglement and multi-task learning
Lukasz Maziarka
A. Nowak
Maciej Wołczyk
Andrzej Bedychaj
OODDRL
59
4
0
07 Oct 2021
Video Autoencoder: self-supervised disentanglement of static 3D
  structure and motion
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion
Zihang Lai
Sifei Liu
Alexei A. Efros
Xiaolong Wang
VGen
104
31
0
06 Oct 2021
Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis
  Expansion
Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis Expansion
Hongxiang Jiang
Jihao Yin
Xiaoyan Luo
Fuxiang Wang
DRL
70
2
0
02 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare
Algorithm Fairness in AI for Medicine and Healthcare
Richard J. Chen
Tiffany Y. Chen
Jana Lipkova
Judy J. Wang
Drew F. K. Williamson
Ming Y. Lu
S. Sahai
Faisal Mahmood
FaML
150
47
0
01 Oct 2021
Unsupervised Belief Representation Learning with Information-Theoretic
  Variational Graph Auto-Encoders
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders
Jinning Li
Huajie Shao
Dachun Sun
Ruijie Wang
Yuchen Yan
Jinyang Li
Shengzhong Liu
Hanghang Tong
Tarek Abdelzaher
CMLSSL
119
27
0
01 Oct 2021
DAReN: A Collaborative Approach Towards Reasoning And Disentangling
DAReN: A Collaborative Approach Towards Reasoning And Disentangling
Pritish Sahu
Kalliopi Basioti
Vladimir Pavlovic
68
1
0
27 Sep 2021
Be More Active! Understanding the Differences between Mean and Sampled
  Representations of Variational Autoencoders
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders
Lisa Bonheme
M. Grzes
DRL
79
6
0
26 Sep 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Maciej Wołczyk
Magdalena Proszewska
Lukasz Maziarka
Maciej Ziȩba
Patryk Wielopolski
Rafał Kurczab
Marek Śmieja
DRL
76
5
0
18 Sep 2021
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Sitao Xiang
Yuming Gu
Pengda Xiang
Menglei Chai
Hao Li
Yajie Zhao
Mingming He
CoGe
148
4
0
16 Sep 2021
Disentangling Generative Factors of Physical Fields Using Variational
  Autoencoders
Disentangling Generative Factors of Physical Fields Using Variational Autoencoders
Christian L. Jacobsen
Karthik Duraisamy
OODCoGeCMLDRL
55
13
0
15 Sep 2021
Disentangling Generative Factors in Natural Language with Discrete
  Variational Autoencoders
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
Giangiacomo Mercatali
André Freitas
CoGeDRL
59
23
0
15 Sep 2021
Desiderata for Representation Learning: A Causal Perspective
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Michael I. Jordan
CML
80
84
0
08 Sep 2021
Disentanglement Analysis with Partial Information Decomposition
Disentanglement Analysis with Partial Information Decomposition
Seiya Tokui
Issei Sato
CoGeDRL
75
15
0
31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CMLOOD
168
536
0
31 Aug 2021
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