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2103.09055
Cited By
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
13 March 2021
Hantian Zhang
Xu Chu
Abolfazl Asudeh
S. Navathe
FaML
VLM
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Papers citing
"OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning"
19 / 19 papers shown
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria
Giulia Sellitto
Carmine Ferrara
Francesco Abate
A. Lucia
F. Ferrucci
Gemma Catolino
Fabio Palomba
FaML
395
5
0
29 Aug 2024
Falcon: Fair Active Learning using Multi-armed Bandits
Proceedings of the VLDB Endowment (PVLDB), 2024
Ki Hyun Tae
Hantian Zhang
Jaeyoung Park
Kexin Rong
Steven Euijong Whang
FaML
412
6
0
23 Jan 2024
Saturn: An Optimized Data System for Large Model Deep Learning Workloads
Proceedings of the VLDB Endowment (PVLDB), 2023
Kabir Nagrecha
Arun Kumar
404
8
0
03 Sep 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey
Information Fusion (Inf. Fusion), 2023
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
FedML
392
91
0
14 Jun 2023
Model Debiasing via Gradient-based Explanation on Representation
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Jindi Zhang
Luning Wang
Jane Polak Scowcroft
Yongxiang Huang
Caleb Chen Cao
Lei Chen
FaML
CML
180
3
0
20 May 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift
IEEE International Conference on Data Engineering (ICDE), 2023
Ke Yang
A. Meliou
400
1
0
30 Mar 2023
Consistent Range Approximation for Fair Predictive Modeling
Proceedings of the VLDB Endowment (PVLDB), 2022
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
300
14
0
21 Dec 2022
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
Zifan Liu
Evan Rosen
P. Suganthan
160
3
0
18 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
ACM Symposium on Access Control Models and Technologies (SACMAT), 2022
Minghong Fang
Jia-Wei Liu
Michinari Momma
Yi Sun
222
6
0
13 Dec 2022
iFlipper: Label Flipping for Individual Fairness
Hantian Zhang
Ki Hyun Tae
Jaeyoung Park
Xu Chu
Steven Euijong Whang
332
12
0
15 Sep 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination
International Conference on Information and Knowledge Management (CIKM), 2022
Aparajita Haldar
Teddy Cunningham
Hakan Ferhatosmanoglu
FaML
186
4
0
30 Aug 2022
Multiple Attribute Fairness: Application to Fraud Detection
Meghanath Macha Yadagiri
S. Ravindran
Deepak Pai
A. Narang
V. Srivastava
229
1
0
28 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
423
256
0
14 Jul 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques
ACM Computing Surveys (ACM CSUR), 2022
N. Shahbazi
Yin Lin
Abolfazl Asudeh
H. V. Jagadish
354
125
0
22 Mar 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang
Yuji Roh
Hwanjun Song
Jae-Gil Lee
544
499
0
13 Dec 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education
Hadis Anahideh
Parian Haghighat
Nazanin Nezami
Denisa Gándara
170
1
0
13 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations
Hadis Anahideh
Nazanin Nezami
Abolfazl Asudeh
204
1
0
13 Sep 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Maliha Tashfia Islam
Anna Fariha
A. Meliou
Babak Salimi
FaML
411
31
0
18 Jan 2021
Fair Active Learning
Expert systems with applications (ESWA), 2020
Hadis Anahideh
Abolfazl Asudeh
Saravanan Thirumuruganathan
FaML
763
57
0
06 Jan 2020
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