Debiasing Methods for Fairer Neural Models in Vision and Language
Research: A Survey

Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey

10 November 2022

Otávio Parraga

Martin D. Móre

Nathan Gavenski

L. S. Kupssinskü

Adilson Medronha

Gabriel S. Simões

Rodrigo C. Barros

Papers citing "Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey"

14 / 14 papers shown

Title
Debiasing Neural Retrieval via In-batch Balancing Regularization Yuantong Li Xiaokai Wei Zijian Wang Shen Wang Parminder Bhatia Xiaofei Ma Andrew O. Arnold 17 5 0 18 May 2022
Contrastive Learning for Fair Representations Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 34 33 0 22 Sep 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 77 49 0 21 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu X. Wang FaML 155 95 0 12 Sep 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 210 138 0 23 Jan 2021
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Victoria Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 110 54 0 03 May 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 142 287 0 14 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,143 0 23 Aug 2019
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 192 730 0 13 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,320 0 12 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,083 0 01 Sep 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013