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"

50 / 790 papers shown
Title
GCVAE: Generalized-Controllable Variational AutoEncoder
GCVAE: Generalized-Controllable Variational AutoEncoder
Kenneth Ezukwoke
Anis Hoayek
M. Batton-Hubert
Xavier Boucher
BDLDRL
29
1
0
09 Jun 2022
Is a Modular Architecture Enough?
Is a Modular Architecture Enough?
Sarthak Mittal
Yoshua Bengio
Guillaume Lajoie
112
49
0
06 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
Patrik Reizinger
Luigi Gresele
Jack Brady
Julius von Kügelgen
Dominik Zietlow
Bernhard Schölkopf
Georg Martius
Wieland Brendel
M. Besserve
DRL
101
21
0
06 Jun 2022
Learning Robust Representations Of Generative Models Using Set-Based
  Artificial Fingerprints
Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprints
Hae Jin Song
Wael AbdAlmageed
OOD
52
0
0
04 Jun 2022
Weakly Supervised Representation Learning with Sparse Perturbations
Weakly Supervised Representation Learning with Sparse Perturbations
Kartik Ahuja
Jason S. Hartford
Yoshua Bengio
SSL
109
61
0
02 Jun 2022
Principled Paraphrase Generation with Parallel Corpora
Principled Paraphrase Generation with Parallel Corpora
Aitor Ormazabal
Mikel Artetxe
Aitor Soroa Etxabe
Gorka Labaka
Eneko Agirre
100
9
0
24 May 2022
Visual Concepts Tokenization
Visual Concepts Tokenization
Tao Yang
Yuwang Wang
Yan Lu
Nanning Zheng
OCLViT
107
15
0
20 May 2022
Leveraging Relational Information for Learning Weakly Disentangled
  Representations
Leveraging Relational Information for Learning Weakly Disentangled Representations
Andrea Valenti
D. Bacciu
CoGeDRL
75
5
0
20 May 2022
Disentangled and Side-aware Unsupervised Domain Adaptation for
  Cross-dataset Subjective Tinnitus Diagnosis
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis
Yun Yvonna Li
Zhe Liu
L. Yao
Jessica J.M.Monaghan
David Mcalpine
79
10
0
03 May 2022
RelViT: Concept-guided Vision Transformer for Visual Relational
  Reasoning
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Xiaojian Ma
Weili Nie
Zhiding Yu
Huaizu Jiang
Chaowei Xiao
Yuke Zhu
Song-Chun Zhu
Anima Anandkumar
ViTLRM
131
19
0
24 Apr 2022
Training and Evaluation of Deep Policies using Reinforcement Learning
  and Generative Models
Training and Evaluation of Deep Policies using Reinforcement Learning and Generative Models
Ali Ghadirzadeh
Petra Poklukar
Karol Arndt
Chelsea Finn
Ville Kyrki
Danica Kragic
Mårten Björkman
OffRL
64
2
0
18 Apr 2022
Learning and controlling the source-filter representation of speech with
  a variational autoencoder
Learning and controlling the source-filter representation of speech with a variational autoencoder
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
SSLDRLBDL
115
14
0
14 Apr 2022
Lost in Latent Space: Disentangled Models and the Challenge of
  Combinatorial Generalisation
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation
M. Montero
J. Bowers
Rui Ponte Costa
Casimir J. H. Ludwig
Gaurav Malhotra
DRLCoGe
91
13
0
05 Apr 2022
Do learned representations respect causal relationships?
Do learned representations respect causal relationships?
Lan Wang
Vishnu Boddeti
NAICMLOOD
93
6
0
02 Apr 2022
Provable concept learning for interpretable predictions using
  variational autoencoders
Provable concept learning for interpretable predictions using variational autoencoders
Armeen Taeb
Nicolò Ruggeri
Carina Schnuck
Fanny Yang
125
5
0
01 Apr 2022
Autoencoder for Synthetic to Real Generalization: From Simple to More
  Complex Scenes
Autoencoder for Synthetic to Real Generalization: From Simple to More Complex Scenes
S. Cruz
B. Taetz
Thomas Stifter
D. Stricker
69
2
0
01 Apr 2022
Fair Contrastive Learning for Facial Attribute Classification
Fair Contrastive Learning for Facial Attribute Classification
Sungho Park
Jewook Lee
Pilhyeon Lee
Sunhee Hwang
D. Kim
H. Byun
FaML
71
92
0
30 Mar 2022
Concept Embedding Analysis: A Review
Concept Embedding Analysis: A Review
Gesina Schwalbe
77
28
0
25 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in
  Deep Metric Learning
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
99
15
0
23 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards
  Solving the Gordian Knot of Generative Models in Healthcare
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare
Jana Fragemann
Lynton Ardizzone
Jan Egger
Jens Kleesiek
DRLMedIm
56
10
0
21 Mar 2022
PublicCheck: Public Integrity Verification for Services of Run-time Deep
  Models
PublicCheck: Public Integrity Verification for Services of Run-time Deep Models
Shuo Wang
Sharif Abuadbba
Sidharth Agarwal
Kristen Moore
Ruoxi Sun
Minhui Xue
Surya Nepal
S. Çamtepe
S. Kanhere
HILM
50
7
0
21 Mar 2022
Partitioning Image Representation in Contrastive Learning
Partitioning Image Representation in Contrastive Learning
Hyunsub Lee
Heeyoul Choi
SSLDRL
34
1
0
20 Mar 2022
Attri-VAE: attribute-based interpretable representations of medical
  images with variational autoencoders
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
DRL
120
40
0
20 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAMLDRL
99
12
0
18 Mar 2022
Decouple-and-Sample: Protecting sensitive information in task agnostic
  data release
Decouple-and-Sample: Protecting sensitive information in task agnostic data release
Abhishek Singh
Ethan Garza
Ayush Chopra
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
63
7
0
17 Mar 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
95
46
0
17 Mar 2022
Discovering the building blocks of dark matter halo density profiles
  with neural networks
Discovering the building blocks of dark matter halo density profiles with neural networks
Luisa Lucie-Smith
H. Peiris
A. Pontzen
Brian D. Nord
Jeyan Thiyagalingam
Davide Piras
35
6
0
16 Mar 2022
The Transitive Information Theory and its Application to Deep Generative
  Models
The Transitive Information Theory and its Application to Deep Generative Models
Trung Ngo Trong
Najwa Laabid
Ville Hautamaki
M. Heinäniemi
DRL
95
0
0
09 Mar 2022
Cluster-based Contrastive Disentangling for Generalized Zero-Shot
  Learning
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning
Yi Gao
Chenwei Tang
Jiancheng Lv
103
0
0
05 Mar 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled
  Local Explanations
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Yiwei Lyu
Paul Pu Liang
Zihao Deng
Ruslan Salakhutdinov
Louis-Philippe Morency
86
35
0
03 Mar 2022
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Liang Zhao
100
21
0
28 Feb 2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du
Xiaojie Guo
Amarda Shehu
Liang Zhao
115
19
0
28 Feb 2022
Generalised Gaussian Process Latent Variable Models (GPLVM) with
  Stochastic Variational Inference
Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference
V. Lalchand
Aditya Ravuri
Neil D. Lawrence
GPVLM
31
5
0
25 Feb 2022
Capturing Actionable Dynamics with Structured Latent Ordinary
  Differential Equations
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations
Paidamoyo Chapfuwa
Sherri Rose
Lawrence Carin
Edward Meeds
Ricardo Henao
CML
42
1
0
25 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEs
On PAC-Bayesian reconstruction guarantees for VAEs
Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
DRL
109
19
0
23 Feb 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational
  Approximations
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
Oskar Kviman
Harald Melin
Hazal Koptagel
Victor Elvira
J. Lagergren
DRL
134
17
0
22 Feb 2022
Moment Matching Deep Contrastive Latent Variable Models
Moment Matching Deep Contrastive Latent Variable Models
Ethan Weinberger
Nicasia Beebe-Wang
Su-In Lee
84
17
0
21 Feb 2022
Disentangling Autoencoders (DAE)
Disentangling Autoencoders (DAE)
Jaehoon Cha
Jeyan Thiyagalingam
CoGe
83
1
0
20 Feb 2022
End-to-End Training for Back-Translation with Categorical
  Reparameterization Trick
End-to-End Training for Back-Translation with Categorical Reparameterization Trick
DongNyeong Heo
Heeyoul Choi
48
0
0
17 Feb 2022
Disentangling Domain and Content
Disentangling Domain and Content
Dan-Andrei Iliescu
A. Mikhailiuk
Damon J. Wischik
Rafał K. Mantiuk
DRL
37
0
0
15 Feb 2022
Unsupervised Disentanglement with Tensor Product Representations on the
  Torus
Unsupervised Disentanglement with Tensor Product Representations on the Torus
Michael Rotman
A. Dekel
Shir Gur
Yaron Oz
Lior Wolf
34
4
0
13 Feb 2022
Learning long-term music representations via hierarchical contextual
  constraints
Learning long-term music representations via hierarchical contextual constraints
Shiqing Wei
Gus Xia
49
9
0
13 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
51
1
0
10 Feb 2022
Measuring disentangled generative spatio-temporal representation
Measuring disentangled generative spatio-temporal representation
Sichen Zhao
Wei Shao
Jeffrey Chan
Flora D. Salim
DRLAI4TS
65
3
0
10 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
288
66
0
07 Feb 2022
Unsupervised physics-informed disentanglement of multimodal data for
  high-throughput scientific discovery
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery
N. Trask
Carianne Martinez
Kookjin Lee
Brad L. Boyce
DRLAI4CE
53
7
0
07 Feb 2022
Decoupling Local and Global Representations of Time Series
Decoupling Local and Global Representations of Time Series
S. Tonekaboni
Chun-Liang Li
Sercan O. Arik
Anna Goldenberg
Tomas Pfister
AI4TSCMLOOD
71
20
0
04 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via
  Disentanglement
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
Xiaoting Shao
Karl Stelzner
Kristian Kersting
CMLDRL
79
3
0
01 Feb 2022
Controlling Directions Orthogonal to a Classifier
Controlling Directions Orthogonal to a Classifier
Yilun Xu
Hao He
T. Shen
Tommi Jaakkola
129
19
0
27 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic
  Review on Evaluating Explainable AI
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELMXAI
178
423
0
20 Jan 2022
Previous
123...678...141516
Next