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Beyond Adult and COMPAS: Fairness in Multi-Class Prediction

Beyond Adult and COMPAS: Fairness in Multi-Class Prediction

Wael Alghamdi
Hsiang Hsu
Haewon Jeong
Hao Wang
P. Michalák
S. Asoodeh
Flavio du Pin Calmon
    FaML
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Papers citing "Beyond Adult and COMPAS: Fairness in Multi-Class Prediction"

12 / 12 papers shown
Title
SQuat: Subspace-orthogonal KV Cache Quantization
SQuat: Subspace-orthogonal KV Cache Quantization
Hao Wang
Ligong Han
Kai Xu
Akash Srivastava
MQ
119
1
0
31 Mar 2025
Controlled Model Debiasing through Minimal and Interpretable Updates
Controlled Model Debiasing through Minimal and Interpretable Updates
Federico Di Gennaro
Thibault Laugel
Vincent Grari
Marcin Detyniecki
FaML
147
0
0
28 Feb 2025
Post-processing fairness with minimal changes
Post-processing fairness with minimal changes
Federico Di Gennaro
Thibault Laugel
Vincent Grari
X. Renard
Marcin Detyniecki
70
1
0
27 Aug 2024
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Ibrahim Alabdulmohsin
Xiao Wang
Andreas Steiner
Priya Goyal
Alexander DÁmour
Xiao-Qi Zhai
84
21
0
07 Mar 2024
FRAPPE: A Group Fairness Framework for Post-Processing Everything
FRAPPE: A Group Fairness Framework for Post-Processing Everything
Alexandru Tifrea
Preethi Lahoti
Ben Packer
Yoni Halpern
Ahmad Beirami
Flavien Prost
103
8
0
05 Dec 2023
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups
Parsa Rahimi
Christophe Ecabert
S´ebastien Marcel
CVBM
119
7
0
15 Sep 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations
Madeleine Waller
Odinaldo Rodrigues
O. Cocarascu
FaMLAI4CE
69
2
0
31 May 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Julien Rouzot
Julien Ferry
Marie-José Huguet
FaML
190
9
0
11 Apr 2023
On the Robustness of Text Vectorizers
On the Robustness of Text Vectorizers
R. Catellier
Samuel Vaiter
Damien Garreau
OOD
49
2
0
09 Mar 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaMLAI4CE
113
177
0
14 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Svyatoslav Voloshynovskiy
58
16
0
11 Jul 2022
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
126
2
0
21 Apr 2021