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Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$
  Regularization

Local Disentanglement in Variational Auto-Encoders Using Jacobian L1L_1L1​ Regularization

5 June 2021
Travers Rhodes
Daniel D. Lee
    DRL
ArXivPDFHTML

Papers citing "Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization"

5 / 5 papers shown
Title
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Yujia Zheng
Ignavier Ng
Anton van den Hengel
CML
11
59
0
15 Jun 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato
Andrea Passerini
Stefano Teso
106
64
0
31 May 2022
Identifiable Deep Generative Models via Sparse Decoding
Identifiable Deep Generative Models via Sparse Decoding
Gemma E. Moran
Dhanya Sridhar
Yixin Wang
David M. Blei
BDL
31
45
0
20 Oct 2021
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
184
313
0
07 Feb 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled
  Representations
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
Jan Stühmer
Richard Turner
Sebastian Nowozin
DRL
BDL
CoGe
114
25
0
05 Sep 2019
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