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Distributionally Robust Deep Learning using Hardness Weighted Sampling
v1v2v3v4 (latest)

Distributionally Robust Deep Learning using Hardness Weighted Sampling

8 January 2020
Lucas Fidon
Michael Aertsen
Thomas Deprest
Doaa Emam
Frédéric Guffens
Nada Mufti
Esther Van Elslander
Ernst Schwartz
Michael Ebner
Daniela Prayer
Gregor Kasprian
Anna L. David
Andrew Melbourne
Sébastien Ourselin
Jan Deprest
Georg Langs
Tom Vercauteren
    OOD
ArXiv (abs)PDFHTMLGithub (5★)

Papers citing "Distributionally Robust Deep Learning using Hardness Weighted Sampling"

6 / 6 papers shown
Title
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
64
6
0
15 Jun 2023
A Dempster-Shafer approach to trustworthy AI with application to fetal
  brain MRI segmentation
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
Lucas Fidon
Michael Aertsen
Florian Kofler
A. Bink
A. David
...
Marlene Stuempflen
Esther Van Elslander
Sébastien Ourselin
Jan Deprest
Tom Vercauteren
97
17
0
05 Apr 2022
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI
Lucas Fidon
Michael Aertsen
Nada Mufti
Thomas Deprest
Doaa Emam
...
Andrew Melbourne
Sébastien Ourselin
Jan Deprest
Georg Langs
Tom Vercauteren
OOD
84
22
0
09 Aug 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
91
32
0
09 Jun 2021
Generalized Wasserstein Dice Score, Distributionally Robust Deep
  Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Lucas Fidon
Sebastien Ourselin
Tom Vercauteren
OODMedIm
74
43
0
03 Nov 2020
Comparative study of deep learning methods for the automatic
  segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Sofie Tilborghs
Ine Dirks
Lucas Fidon
S. Willems
Tom Eelbode
...
D. Robben
D. Smeets
F. Maes
Jef Vandemeulebroucke
P. Suetens
OOD
87
28
0
29 Jul 2020
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