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Null-sampling for Interpretable and Fair Representations

Null-sampling for Interpretable and Fair Representations

12 August 2020
T. Kehrenberg
Myles Bartlett
Oliver Thomas
Novi Quadrianto
    OOD
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Papers citing "Null-sampling for Interpretable and Fair Representations"

12 / 12 papers shown
Title
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Constructing Fair Latent Space for Intersection of Fairness and Explainability
Hyungjun Joo
Hyeonggeun Han
Sehwan Kim
Sangwoo Hong
Jungwoo Lee
40
0
0
23 Dec 2024
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
27
0
0
25 Mar 2023
A Survey on Preserving Fairness Guarantees in Changing Environments
A Survey on Preserving Fairness Guarantees in Changing Environments
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
FaML
27
3
0
14 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match
Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett
Sara Romiti
V. Sharmanska
Novi Quadrianto
42
3
0
07 Nov 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
Certifying Some Distributional Fairness with Subpopulation Decomposition
Mintong Kang
Linyi Li
Maurice Weber
Yang Liu
Ce Zhang
Bo-wen Li
OOD
56
15
0
31 May 2022
Fair Representation Learning through Implicit Path Alignment
Fair Representation Learning through Implicit Path Alignment
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
41
28
0
26 May 2022
Towards Group Robustness in the presence of Partial Group Labels
Towards Group Robustness in the presence of Partial Group Labels
Vishnu Suresh Lokhande
Kihyuk Sohn
Jinsung Yoon
Madeleine Udell
Chen-Yu Lee
Tomas Pfister
OOD
37
11
0
10 Jan 2022
Latent Space Smoothing for Individually Fair Representations
Latent Space Smoothing for Individually Fair Representations
Momchil Peychev
Anian Ruoss
Mislav Balunović
Maximilian Baader
Martin Vechev
FaML
36
19
0
26 Nov 2021
Fair Representation: Guaranteeing Approximate Multiple Group Fairness
  for Unknown Tasks
Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks
Xudong Shen
Yongkang Wong
Mohan S. Kankanhalli
FaML
37
20
0
01 Sep 2021
Fair Normalizing Flows
Fair Normalizing Flows
Mislav Balunović
Anian Ruoss
Martin Vechev
AAML
19
36
0
10 Jun 2021
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
743
0
13 Dec 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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