Fairness Indicators for Systematic Assessments of Visual Feature Extractors

Conference on Fairness, Accountability and Transparency (FAccT), 2022

15 February 2022

Priya Goyal

Adriana Romero Soriano

Papers citing "Fairness Indicators for Systematic Assessments of Visual Feature Extractors"

26 / 26 papers shown

Title
Fairness and Bias in Multimodal AI: A Survey Tosin Adewumi Lama Alkhaled Namrata Gurung G. V. Boven Irene Pagliai 301 23 0 27 Jun 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach Huy V. Vo Vasil Khalidov Timothée Darcet Théo Moutakanni Nikita Smetanin ... Maxime Oquab Armand Joulin Edouard Grave Patrick Labatut Piotr Bojanowski SSL 333 41 0 24 May 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models Angeline Pouget Lucas Beyer Emanuele Bugliarello Xiao Wang Andreas Steiner Xiao-Qi Zhai Ibrahim Alabdulmohsin VLM 245 13 0 22 May 2024
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models Melissa Hall Samuel J. Bell Candace Ross Adina Williams M. Drozdzal Adriana Romero Soriano EGVM 247 12 0 07 May 2024
Configurable Fairness: Direct Optimization of Parity Metrics via Vision-Language Models Miao Zhang R. Chunara VLM 172 1 0 15 Mar 2024
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation CostInternational Conference on Language Resources and Evaluation (LREC), 2024 Oana Ignat Longju Bai Joan Nwatu Amélie Reymond 167 7 0 12 Mar 2024
The Bias of Harmful Label Associations in Vision-Language Models C. Hazirbas Alicia Sun Yonathan Efroni Mark Ibrahim VLM 239 2 0 11 Feb 2024
Black-Box Access is Insufficient for Rigorous AI AuditsConference on Fairness, Accountability and Transparency (FAccT), 2024 Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 500 127 0 25 Jan 2024
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2024 Kyle Buettner Sina Malakouti Xiang Lorraine Li Adriana Kovashka 362 6 0 03 Jan 2024
Survey of Social Bias in Vision-Language Models Nayeon Lee Yejin Bang Holy Lovenia Samuel Cahyawijaya Wenliang Dai Pascale Fung VLM 345 29 0 24 Sep 2023
FACET: Fairness in Computer Vision Evaluation BenchmarkIEEE International Conference on Computer Vision (ICCV), 2023 Laura Gustafson Chloe Rolland Nikhila Ravi Quentin Duval Aaron B. Adcock Cheng-Yang Fu Melissa Hall Candace Ross VLM EGVM 311 59 0 31 Aug 2023
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity Melissa Hall Candace Ross Adina Williams Nicolas Carion M. Drozdzal Adriana Romero Soriano EGVM 297 7 0 11 Aug 2023
Challenges and Solutions in AI for All R. Shams Didar Zowghi Muneera Bano 144 7 0 20 Jul 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model Xi Chen Josip Djolonga Piotr Padlewski Basil Mustafa Soravit Changpinyo ... Mojtaba Seyedhosseini A. Angelova Xiaohua Zhai N. Houlsby Radu Soricut VLM 326 247 0 29 May 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Edouard Grave Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 1.1K 5,829 0 14 Apr 2023
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies Laura Gustafson Megan Richards Melissa Hall C. Hazirbas Diane Bouchacourt Mark Ibrahim 150 8 0 11 Apr 2023
Overwriting Pretrained Bias with Finetuning DataIEEE International Conference on Computer Vision (ICCV), 2023 Angelina Wang Olga Russakovsky 272 45 0 10 Mar 2023
The Casual Conversations v2 Dataset Bilal Porgali Vítor Albiero Jordan Ryda Cristian Canton Ferrer C. Hazirbas 123 2 0 08 Mar 2023
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers Melissa Hall Bobbie Chern Laura Gustafson Denisse Ventura Harshad Kulkarni Candace Ross Nicolas Usunier 187 6 0 16 Feb 2023
Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities Melissa Hall Laura Gustafson Aaron B. Adcock Ishan Misra Candace Ross VLM 215 30 0 26 Jan 2023
Simplicity Bias Leads to Amplified Performance DisparitiesConference on Fairness, Accountability and Transparency (FAccT), 2022 Samuel J. Bell Levent Sagun 198 13 0 13 Dec 2022
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness C. Hazirbas Yejin Bang Tiezheng Yu Parisa Assar Bilal Porgali ... Jacqueline Pan Emily McReynolds Miranda Bogen Pascale Fung Cristian Canton Ferrer 181 8 0 10 Nov 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision Priya Goyal Quentin Duval Isaac Seessel Mathilde Caron Ishan Misra Levent Sagun Armand Joulin Piotr Bojanowski VLM SSL 364 122 0 16 Feb 2022
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach Alessandro Fabris Andrea Esuli Alejandro Moreo Fabrizio Sebastiani 296 25 0 17 Sep 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 1.2K 4,635 0 17 Jun 2020
ClusterFit: Improving Generalization of Visual RepresentationsComputer Vision and Pattern Recognition (CVPR), 2019 Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 280 136 0 06 Dec 2019