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. 1901.08534
  4. Cited By
Learning Disentangled Representations with Reference-Based Variational
  Autoencoders

Learning Disentangled Representations with Reference-Based Variational Autoencoders

24 January 2019
Adria Ruiz
Oriol Martínez
Xavier Binefa
Jakob Verbeek
    OODCoGeDRL
ArXiv (abs)PDFHTML

Papers citing "Learning Disentangled Representations with Reference-Based Variational Autoencoders"

12 / 12 papers shown
Title
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
Disentangled representations: towards interpretation of sex
  determination from hip bone
Disentangled representations: towards interpretation of sex determination from hip bone
K. Zou
S. Faisan
F. Heitz
Marie Epain
P. Croisille
L. Fanton
S. Valette
3DHDRL
118
4
0
17 Dec 2021
Explainable-by-design Semi-Supervised Representation Learning for
  COVID-19 Diagnosis from CT Imaging
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Abel Díaz Berenguer
Hichem Sahli
Boris Joukovsky
Maryna Kvasnytsia
Ine Dirks
...
P. Meunier
S. Gryspeerdt
K. Smet
B. Jansen
Jef Vandemeulebroucke
74
9
0
23 Nov 2020
NestedVAE: Isolating Common Factors via Weak Supervision
NestedVAE: Isolating Common Factors via Weak Supervision
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CMLDRL
94
22
0
26 Feb 2020
High-Fidelity Synthesis with Disentangled Representation
High-Fidelity Synthesis with Disentangled Representation
Wonkwang Lee
Donggyun Kim
Seunghoon Hong
Honglak Lee
DRL
75
66
0
13 Jan 2020
Theory and Evaluation Metrics for Learning Disentangled Representations
Theory and Evaluation Metrics for Learning Disentangled Representations
Kien Do
T. Tran
CoGeDRL
76
96
0
26 Aug 2019
Geometric Disentanglement for Generative Latent Shape Models
Geometric Disentanglement for Generative Latent Shape Models
Tristan Aumentado-Armstrong
Stavros Tsogkas
Allan D. Jepson
Sven J. Dickinson
DRL
87
56
0
18 Aug 2019
Product of Orthogonal Spheres Parameterization for Disentangled
  Representation Learning
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
Ankita Shukla
Sarthak Bhagat
Shagun Uppal
Saket Anand
Pavan Turaga
CMLOODDRL
71
23
0
22 Jul 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGeDRL
73
4
0
03 Jun 2019
On the Fairness of Disentangled Representations
On the Fairness of Disentangled Representations
Francesco Locatello
G. Abbati
Tom Rainforth
Stefan Bauer
Bernhard Schölkopf
Olivier Bachem
FaMLDRL
81
227
0
31 May 2019
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste
Francesco Locatello
Jürgen Schmidhuber
Olivier Bachem
106
210
0
29 May 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
1