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Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal
  Approach

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach

15 December 2023
Ziliang Chen
Yongsen Zheng
Zhao-Rong Lai
Quanlong Guan
Liang Lin
    CML
ArXivPDFHTML

Papers citing "Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach"

5 / 5 papers shown
Title
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
121
32
0
04 Jul 2022
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
185
125
0
04 Jan 2021
Invariant Rationalization
Invariant Rationalization
Shiyu Chang
Yang Zhang
Mo Yu
Tommi Jaakkola
179
197
0
22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
898
0
02 Mar 2020
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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