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Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation
17 June 2021
Agnieszka Słowik
Léon Bottou
FaML
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ArXiv
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Papers citing
"Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation"
6 / 6 papers shown
Title
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning
Sofoklis Kyriakopoulos
Artur Garcez
NAI
LRM
21
0
0
03 May 2023
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui
Nitarshan Rajkumar
Tegan Maharaj
David M. Krueger
Sara Hooker
37
27
0
20 Sep 2022
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
30
173
0
27 Oct 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
540
0
08 Mar 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
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