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Disentangled Representation Learning
v1v2v3v4 (latest)

Disentangled Representation Learning

21 November 2022
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
    DRL
ArXiv (abs)PDFHTML

Papers citing "Disentangled Representation Learning"

12 / 12 papers shown
Title
Aligning Multimodal Representations through an Information Bottleneck
Antonio Almudévar
José Miguel Hernández-Lobato
Sameer Khurana
R. Marxer
Alfonso Ortega
SSL
112
0
0
05 Jun 2025
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation
Roger Ferrod
C. Dantas
Luigi Di Caro
Dino Ienco
25
0
0
30 May 2025
Sparsification and Reconstruction from the Perspective of Representation Geometry
Sparsification and Reconstruction from the Perspective of Representation Geometry
Wenjie Sun
Bingzhe Wu
Zhile Yang
Chengke Wu
64
0
0
28 May 2025
A Controllable Appearance Representation for Flexible Transfer and Editing
A Controllable Appearance Representation for Flexible Transfer and Editing
Santiago Jimenez-Navarro
Julia Guerrero-Viu
B. Masiá
DiffM
87
0
0
21 Apr 2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations
Eren Erogullari
Sebastian Lapuschkin
Wojciech Samek
Frederik Pahde
LLMSVCoGe
94
0
0
07 Mar 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
C. Ciușdel
Alex Serban
Tiziano Passerini
CoGe
114
1
0
03 Feb 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies
Pingcheng Jian
Easop Lee
Zachary I. Bell
Michael M. Zavlanos
Boyuan Chen
185
1
0
03 Jan 2025
Analyzing Generative Models by Manifold Entropic Metrics
Analyzing Generative Models by Manifold Entropic Metrics
Daniel Galperin
Ullrich Köthe
DRL
148
0
0
25 Oct 2024
Disentanglement with Factor Quantized Variational Autoencoders
Disentanglement with Factor Quantized Variational Autoencoders
Gulcin Baykal
M. Kandemir
Gözde B. Ünal
CoGeDRL
84
0
0
23 Sep 2024
FedSIS: Federated Split Learning with Intermediate Representation
  Sampling for Privacy-preserving Generalized Face Presentation Attack
  Detection
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection
Naif Alkhunaizi
K. Srivatsan
Faris Almalik
Ibrahim Almakky
Karthik Nandakumar
FedML
136
1
0
20 Aug 2023
Approaching an unknown communication system by latent space exploration
  and causal inference
Approaching an unknown communication system by latent space exploration and causal inference
Gašper Beguš
Andrej Leban
Shane Gero
50
4
0
20 Mar 2023
Out-Of-Distribution Generalization on Graphs: A Survey
Out-Of-Distribution Generalization on Graphs: A Survey
Haoyang Li
Xin Eric Wang
Ziwei Zhang
Wenwu Zhu
OODCML
125
102
0
16 Feb 2022
1