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NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature

NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature

18 December 2018
Franz J. Király
Bilal A. Mateen
R. Sonabend
ArXivPDFHTML

Papers citing "NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature"

2 / 2 papers shown
Title
Stratified cross-validation for unbiased and privacy-preserving
  federated learning
Stratified cross-validation for unbiased and privacy-preserving federated learning
R. Bey
Romain Goussault
M. Benchoufi
R. Porcher
FedML
19
12
0
22 Jan 2020
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
270
5,660
0
05 Dec 2016
1