Gradient Reversal Against Discrimination

1 July 2018

Papers citing "Gradient Reversal Against Discrimination"

15 / 15 papers shown

Title
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 178 5 0 15 Jul 2024
Efficient fair PCA for fair representation learning Matthäus Kleindessner Michele Donini Chris Russell Muhammad Bilal Zafar FaML 99 16 0 26 Feb 2023
Fair Visual Recognition via Intervention with Proxy Features Yi Zhang Jitao Sang Junyan Wang 74 1 0 02 Nov 2022
A Realism Metric for Generated LiDAR Point Clouds Larissa T. Triess Christoph B. Rist David Peter J. Marius Zöllner 3DPC 61 9 0 31 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 107 177 0 14 Jul 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 102 12 0 22 Jun 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks Michael Lohaus Matthäus Kleindessner K. Kenthapadi Francesco Locatello Chris Russell 91 12 0 09 Apr 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 71 92 0 30 Mar 2022
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 90 22 0 08 Dec 2020
Learning Emotional-Blinded Face Representations Alejandro Peña Julian Fierrez Àgata Lapedriza Aythami Morales CVBM 63 13 0 18 Sep 2020
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text Lukas Lange Anastasiia Iurshina Heike Adel Jannik Strötgen 71 29 0 19 May 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle Paul Temple Gilles Perrouin Benoit Frénay P. Heymans Bettina Berendt AAML FaML 134 16 0 14 May 2020
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization Philipp Terhörst Jan Niklas Kolf Naser Damer Florian Kirchbuchner Arjan Kuijper 145 58 0 10 Feb 2020
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization Laurent Risser Alberto González Sanz Quentin Vincenot Jean-Michel Loubes 95 21 0 15 Aug 2019
Rényi Fair Inference Sina Baharlouei Maher Nouiehed Ahmad Beirami Meisam Razaviyayn FaML 66 67 0 28 Jun 2019