Fair Visual Recognition via Intervention with Proxy Features

2 November 2022

Papers citing "Fair Visual Recognition via Intervention with Proxy Features"

26 / 26 papers shown

Title
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models Yi Zhang Junyan Wang Jitao Sang 50 28 0 03 Jul 2022
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 54 80 0 23 Jun 2021
Fair Feature Distillation for Visual Recognition S. Jung Donggyu Lee Taeeon Park Taesup Moon 55 76 0 27 May 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang Yossi Gandelsman Michal Yarom Yoav Wald G. Elidan ... William T. Freeman Phillip Isola Amir Globerson Michal Irani Inbar Mosseri GAN 109 154 0 27 Apr 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 60 124 0 02 Mar 2021
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 87 230 0 28 Sep 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation Dong Zhang Hanwang Zhang Jinhui Tang Xiansheng Hua Qianru Sun CML ISeg 90 450 0 26 Sep 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 201 2,048 0 16 Apr 2020
Visual Commonsense R-CNN Tan Wang Jianqiang Huang Hanwang Zhang Qianru Sun SSL ObjD CML 57 249 0 27 Feb 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 63 362 0 26 Nov 2019
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification Brian dÁlessandro Cathy OÑeil T. LaGatta FaML 39 186 0 21 Jul 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 186 333 0 06 Jun 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 73 226 0 31 May 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 85 283 0 15 Jan 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data Byungju Kim Hyunwoo Kim Kyungsu Kim Sungjin Kim Junmo Kim OOD 57 409 0 26 Dec 2018
Gradient Reversal Against Discrimination Edward Raff Jared Sylvester 40 38 0 01 Jul 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 197 1,385 0 22 Jan 2018
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 193 878 0 06 Sep 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 122 1,816 0 16 Jun 2017
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 69 1,112 0 27 Feb 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 223 633 0 03 Nov 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 340 10,069 0 10 Feb 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 194 1,984 0 11 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 241 8,402 0 28 Nov 2014