Adversarial Stacked Auto-Encoders for Fair Representation Learning

Adversarial Stacked Auto-Encoders for Fair Representation Learning

27 July 2021

Rasheed Hussain

S. M. Ahsan Kazmi

Papers citing "Adversarial Stacked Auto-Encoders for Fair Representation Learning"

12 / 12 papers shown

Title
On the Fairness of Generative Adversarial Networks (GANs) Patrik Kenfack Daniil Dmitrievich Arapovy Rasheed Hussain S. M. Ahsan Kazmi A. Khan GAN 30 21 0 01 Mar 2021
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation Adín Ramirez Rivera A. Khan I. E. I. Bekkouch T. S. Sheikh 38 39 0 10 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 480 4,285 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 316 678 0 17 Feb 2018
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 71 442 0 01 Jul 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 64 2,890 0 26 May 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed John E. Hopcroft Serge J. Belongie GAN 51 459 0 13 Dec 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 110 4,276 0 07 Oct 2016
Censoring Representations with an Adversary Harrison Edwards Amos Storkey AAML FaML 47 504 0 18 Nov 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 147 633 0 03 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 736 149,474 0 22 Dec 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 160 12,384 0 24 Jun 2012