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Multi-Domain Balanced Sampling Improves Out-of-Distribution
  Generalization of Chest X-ray Pathology Prediction Models

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models

27 December 2021
E. Tetteh
J. Viviano
Yoshua Bengio
David M. Krueger
Joseph Paul Cohen
    OOD
ArXivPDFHTML

Papers citing "Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models"

2 / 2 papers shown
Title
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
39
17
0
15 Nov 2022
TorchXRayVision: A library of chest X-ray datasets and models
TorchXRayVision: A library of chest X-ray datasets and models
Joseph Paul Cohen
J. Viviano
Paul Bertin
Paul Morrison
Parsa Torabian
...
M. Lungren
Akshay S. Chaudhari
Rupert Brooks
Mohammad Hashir
H. Bertrand
VLM
MedIm
25
121
0
31 Oct 2021
1