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BEDS-Bench: Behavior of EHR-models under Distributional Shift--A
  Benchmark

BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark

17 July 2021
Anand Avati
Martin G. Seneviratne
Emily Xue
Zhen Xu
Balaji Lakshminarayanan
Andrew M. Dai
    OOD
    CML
ArXivPDFHTML

Papers citing "BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark"

4 / 4 papers shown
Title
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
28
5
0
28 Sep 2023
Discovering Distribution Shifts using Latent Space Representations
Discovering Distribution Shifts using Latent Space Representations
Leo Betthauser
Urszula Chajewska
M. Diesendruck
Rohith Pesala
OOD
21
5
0
04 Feb 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1