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Disentanglement of Latent Representations via Causal Interventions

Disentanglement of Latent Representations via Causal Interventions

2 February 2023
Gaël Gendron
Michael Witbrock
Gillian Dobbie
    OOD
    CML
    CoGe
ArXivPDFHTML

Papers citing "Disentanglement of Latent Representations via Causal Interventions"

16 / 16 papers shown
Title
Discrete Key-Value Bottleneck
Discrete Key-Value Bottleneck
Frederik Trauble
Anirudh Goyal
Nasim Rahaman
Michael C. Mozer
Kenji Kawaguchi
Yoshua Bengio
Bernhard Schölkopf
CLL
50
23
0
22 Jul 2022
Disentanglement via Mechanism Sparsity Regularization: A New Principle
  for Nonlinear ICA
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
Sébastien Lachapelle
Pau Rodríguez López
Yash Sharma
Katie Everett
Rémi Le Priol
Alexandre Lacoste
Simon Lacoste-Julien
CML
OOD
77
139
0
21 Jul 2021
An Image is Worth More Than a Thousand Words: Towards Disentanglement in
  the Wild
An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild
Aviv Gabbay
Niv Cohen
Yedid Hoshen
CoGe
DRL
44
35
0
29 Jun 2021
Variational Causal Networks: Approximate Bayesian Inference over Causal
  Structures
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
Yashas Annadani
Jonas Rothfuss
Alexandre Lacoste
Nino Scherrer
Anirudh Goyal
Yoshua Bengio
Stefan Bauer
BDL
CML
55
48
0
14 Jun 2021
Independent mechanism analysis, a new concept?
Independent mechanism analysis, a new concept?
Luigi Gresele
Julius von Kügelgen
Vincent Stimper
Bernhard Schölkopf
M. Besserve
CML
45
102
0
09 Jun 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
382
4,919
0
24 Feb 2021
Learning Disentangled Phone and Speaker Representations in a
  Semi-Supervised VQ-VAE Paradigm
Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm
Jennifer Williams
Yi Zhao
Erica Cooper
Junichi Yamagishi
SSL
37
23
0
21 Oct 2020
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
220
316
0
07 Feb 2020
Towards a Definition of Disentangled Representations
Towards a Definition of Disentangled Representations
I. Higgins
David Amos
David Pfau
S. Racanière
Loic Matthey
Danilo Jimenez Rezende
Alexander Lerchner
OCL
DRL
95
480
0
05 Dec 2018
Robustly Disentangled Causal Mechanisms: Validating Deep Representations
  for Interventional Robustness
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter
Ðorðe Miladinovic
Bernhard Schölkopf
Stefan Bauer
CML
OOD
DRL
105
162
0
31 Oct 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGe
OOD
62
1,346
0
16 Feb 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDL
SSL
OCL
208
4,989
0
02 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
426
20,089
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
452
15,179
0
07 Jun 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
281
5,360
0
03 Nov 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
416
16,944
0
20 Dec 2013
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