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Unraveling the Key Components of OOD Generalization via Diversification
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Unraveling the Key Components of OOD Generalization via Diversification

Harold Benoit
Liangze Jiang
Andrei Atanov
Ouguzhan Fatih Kar
Mattia Rigotti
Amir Zamir
    CML
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Papers citing "Unraveling the Key Components of OOD Generalization via Diversification"

4 / 4 papers shown
Title
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Liangze Jiang
Damien Teney
OODDOOD
141
1
0
03 Oct 2024
Scalable Ensemble Diversification for OOD Generalization and Detection
Scalable Ensemble Diversification for OOD Generalization and Detection
Alexander Rubinstein
Luca Scimeca
Damien Teney
Seong Joon Oh
BDLOOD
501
1
0
25 Sep 2024
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel
Albert Gu
Yixuan Li
Christopher Ré
104
121
0
15 Aug 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
346
4,109
0
17 Jun 2020

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