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Disentanglement and Generalization Under Correlation Shifts

Disentanglement and Generalization Under Correlation Shifts

29 December 2021
Christina M. Funke
Paul Vicol
Kuan-Chieh Jackson Wang
Matthias Kümmerer
R. Zemel
Matthias Bethge
    OOD
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Papers citing "Disentanglement and Generalization Under Correlation Shifts"

7 / 7 papers shown
Title
Disentangling representations of retinal images with generative models
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
32
3
0
29 Feb 2024
On Counterfactual Data Augmentation Under Confounding
On Counterfactual Data Augmentation Under Confounding
Abbavaram Gowtham Reddy
Saketh Bachu
Saloni Dash
Charchit Sharma
Amit Sharma
V. Balasubramanian
CML
BDL
33
0
0
29 May 2023
Conditional Mutual Information for Disentangled Representations in
  Reinforcement Learning
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Mhairi Dunion
Trevor A. McInroe
K. Luck
Josiah P. Hanna
Stefano V. Albrecht
OOD
DRL
22
17
0
23 May 2023
Counterfactual Generation Under Confounding
Counterfactual Generation Under Confounding
Abbavaram Gowtham Reddy
Saloni Dash
Amit Sharma
V. Balasubramanian
CML
36
2
0
22 Oct 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Karsten Roth
Mark Ibrahim
Zeynep Akata
Pascal Vincent
Diane Bouchacourt
CML
OOD
CoGe
36
33
0
13 Oct 2022
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
181
313
0
07 Feb 2020
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
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