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An Interpretable Graph-based Mapping of Trustworthy Machine Learning
  Research

An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research

13 May 2021
N. Derzsy
S. Majumdar
Rajat Malik
ArXivPDFHTML

Papers citing "An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research"

3 / 3 papers shown
Title
Towards a Robust and Trustworthy Machine Learning System Development: An
  Engineering Perspective
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective
Pulei Xiong
Scott Buffett
Shahrear Iqbal
Philippe Lamontagne
M. Mamun
Heather Molyneaux
OOD
42
15
0
08 Jan 2021
Improving Fair Predictions Using Variational Inference In Causal Models
Improving Fair Predictions Using Variational Inference In Causal Models
Rik Helwegen
Christos Louizos
Patrick Forré
FaML
19
6
0
25 Aug 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
332
4,223
0
23 Aug 2019
1