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Invariant and Transportable Representations for Anti-Causal Domain
  Shifts

Invariant and Transportable Representations for Anti-Causal Domain Shifts

4 July 2022
Yibo Jiang
Victor Veitch
    OOD
ArXivPDFHTML

Papers citing "Invariant and Transportable Representations for Anti-Causal Domain Shifts"

3 / 3 papers shown
Title
Gradient Matching for Domain Generalization
Gradient Matching for Domain Generalization
Yuge Shi
Jeffrey S. Seely
Philip H. S. Torr
Siddharth Narayanaswamy
Awni Y. Hannun
Nicolas Usunier
Gabriel Synnaeve
OOD
192
246
0
20 Apr 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
146
280
0
07 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
220
9,525
0
09 Mar 2017
1