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Co-creating a globally interpretable model with human input

Co-creating a globally interpretable model with human input

Rahul Nair
ArXiv (abs)PDFHTML

Papers citing "Co-creating a globally interpretable model with human input"

5 / 5 papers shown
Title
Deep Learning with Logical Constraints
Deep Learning with Logical Constraints
Eleonora Giunchiglia
Mihaela C. Stoian
Thomas Lukasiewicz
NAIAI4CE
80
62
0
01 May 2022
User Driven Model Adjustment via Boolean Rule Explanations
User Driven Model Adjustment via Boolean Rule Explanations
Elizabeth M. Daly
Massimiliano Mattetti
Öznur Alkan
Rahul Nair
AAML
41
11
0
28 Mar 2022
Learning to Complement Humans
Learning to Complement Humans
Bryan Wilder
Eric Horvitz
Ece Kamar
168
168
0
01 May 2020
Boolean Decision Rules via Column Generation
Boolean Decision Rules via Column Generation
S. Dash
Oktay Gunluk
Dennis L. Wei
67
175
0
24 May 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
David Madras
T. Pitassi
R. Zemel
FaML
169
221
0
17 Nov 2017

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