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"

16 / 16 papers shown

Title
ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang Xuanbai Chen Siqi Chai Chen Henry Wu Dmitry Lagun Thabo Beeler Fernando de la Torre VLM 35 52 0 11 Sep 2023
Debiasing Vision-Language Models via Biased Prompts Ching-Yao Chuang Varun Jampani Yuanzhen Li Antonio Torralba Stefanie Jegelka VLM 30 96 0 31 Jan 2023
Debiasing Neural Retrieval via In-batch Balancing Regularization Yuantong Li Xiaokai Wei Zijian Wang Shen Wang Parminder Bhatia Xiaofei Ma Andrew O. Arnold 36 5 0 18 May 2022
Contrastive Learning for Fair Representations Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 42 33 0 22 Sep 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 95 49 0 21 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu Qing Guo FaML 157 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 259 374 0 28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 138 0 23 Jan 2021
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 157 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 154 290 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 323 4,212 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 192 742 0 13 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 294 10,354 0 12 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 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 296 39,198 0 01 Sep 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 278 31,267 0 16 Jan 2013