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. 1910.05898
  4. Cited By
Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for
  Disentanglement

Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement

14 October 2019
Junxiang Chen
Kayhan Batmanghelich
    CoGeDRL
ArXiv (abs)PDFHTML

Papers citing "Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement"

6 / 6 papers shown
Title
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs
Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs
Zihao Chen
Yu Xiang
Wenyong Wang
DRLCMLCoGe
39
0
0
30 May 2025
Recursively Conditional Gaussian for Ordinal Unsupervised Domain
  Adaptation
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
Xiaofeng Liu
Site Li
Yubin Ge
Pengyi Ye
J. You
Jun Lu
127
18
0
28 Jul 2021
On the Transferability of VAE Embeddings using Relational Knowledge with
  Semi-Supervision
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision
Harald Stromfelt
Luke Dickens
Artur Garcez
A. Russo
DRL
44
2
0
13 Nov 2020
An Identifiable Double VAE For Disentangled Representations
An Identifiable Double VAE For Disentangled Representations
Graziano Mita
Maurizio Filippone
Pietro Michiardi
CoGeDRL
68
0
0
19 Oct 2020
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep
  Latent Variable Models
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models
Minyoung Kim
Vladimir Pavlovic
CMLDRL
48
4
0
07 Sep 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
1