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FORML: Learning to Reweight Data for Fairness

FORML: Learning to Reweight Data for Fairness

3 February 2022
Bobby Yan
Skyler Seto
N. Apostoloff
    FaML
ArXivPDFHTML

Papers citing "FORML: Learning to Reweight Data for Fairness"

13 / 13 papers shown
Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Yifan Liu
Ruichen Yao
Y. Liu
Ruohan Zong
Z. Li
Yang Zhang
Dong Wang
CVBM
46
0
0
03 May 2025
The Benefits and Risks of Transductive Approaches for AI Fairness
The Benefits and Risks of Transductive Approaches for AI Fairness
Muhammed Razzak
Andreas Kirsch
Yarin Gal
22
0
0
17 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
37
2
0
11 Jun 2024
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A Survey
Ou Wu
Rujing Yao
30
1
0
25 Oct 2023
FERI: A Multitask-based Fairness Achieving Algorithm with Applications
  to Fair Organ Transplantation
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Can Li
Dejian Lai
Xiaoqian Jiang
Kai Zhang
24
3
0
20 Oct 2023
Constrained Reweighting of Distributions: an Optimal Transport Approach
Constrained Reweighting of Distributions: an Optimal Transport Approach
Abhisek Chakraborty
A. Bhattacharya
D. Pati
18
1
0
19 Oct 2023
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by
  Generative Text-to-Image Models
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models
Zoe De Simone
Angie Boggust
Arvindmani Satyanarayan
Ashia Wilson
34
1
0
18 Sep 2023
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting
  Off-the-Shelf Models
Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models
Yi Sheng
Junhuan Yang
Lei Yang
Yiyu Shi
J. Hu
Weiwen Jiang
18
9
0
26 Aug 2023
Interpreting Unfairness in Graph Neural Networks via Training Node
  Attribution
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution
Yushun Dong
Song Wang
Jing Ma
Ninghao Liu
Jundong Li
35
21
0
25 Nov 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on
  Heterogeneous Clients
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
Jaemin Shin
Yuanchun Li
Yunxin Liu
Sung-Ju Lee
FedML
13
71
0
05 Jan 2022
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
Chen Huang
Shuangfei Zhai
Pengsheng Guo
J. Susskind
39
11
0
21 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,677
0
09 Mar 2017
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,082
0
24 Oct 2016
1