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Vision-language models are growing in popularity and public visibility to generate, edit, and caption images at scale; but their outputs can perpetuate and amplify societal biases learned during pre-training on uncurated image-text pairs from the internet.
Are gender-neutral queries really gender-neutral? mitigating gender bias in image search
Jialu Wang, Yang Liu, and Xin Wang · 2008
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Unbiased look at dataset bias
Antonio Torralba and Alexei A Efros · 2011
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Microsoft coco captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, and C Lawrence Zitnick · 2015
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Flownet: Learning optical flow with convolutional networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Yfcc100m: The new data in multimedia research
Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2016
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Stereotyping and bias in the flickr30k dataset
Emiel van Miltenburg · 2016
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Joint face detection and alignment using multitask cascaded convolutional networks
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao · 2016
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan · 2017
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Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens Van Der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
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Semantic scene completion from a single depth image
Shuran Song, Fisher Yu, Andy Zeng, Angel X Chang, Manolis Savva, and Thomas Funkhouser · 2017
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Gender shades: Intersectional accuracy disparities in commercial gender classification
Joy Buolamwini and Timnit Gebru · 2018
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Women also snowboard: Overcoming bias in captioning models
Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, and Anna Rohrbach · 2018
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Fairness definitions explained
Sahil Verma and Julia Rubin · 2018
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Classification is a strong baseline for deep metric learning
Andrew Zhai and Hao-Yu Wu · 2018
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Does object recognition work for everyone?
Terrance De Vries, Ishan Misra, Changhan Wang, and Laurens Van der Maaten · 2019
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Image counterfactual sensitivity analysis for detecting unintended bias
Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru, and Andrew Zaldivar · 2019
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Fairness-aware ranking in search & recommendation systems with application to linkedin talent search
Sahin Cem Geyik, Stuart Ambler, and Krishnaram Kenthapadi · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Fairness gan: Generating datasets with fairness properties using a generative adversarial network
Prasanna Sattigeri, Samuel C Hoffman, Vijil Chenthamarakshan, and Kush R Varshney · 2019
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Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, and Vicente Ordonez · 2019
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Evaluating models’ local decision boundaries via contrast sets
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, et al · 2020
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Giqa: Generated image quality assessment
Shuyang Gu, Jianmin Bao, Dong Chen, and Fang Wen · 2020
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Adversarial learning and self-teaching techniques for domain adaptation in semantic segmentation
Umberto Michieli, Matteo Biasetton, Gianluca Agresti, and Pietro Zanuttigh · 2020
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Diagnosing gender bias in image recognition systems
Carsten Schwemmer, Carly Knight, Emily D Bello-Pardo, Stan Oklobdzija, Martijn Schoonvelde, and Jeffrey W Lockhart · 2020
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Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the imagenet hierarchy
Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, and Olga Russakovsky · 2020
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Digital Media Firm Stability AI Raises Funds at $1 Billion Value
Mureji Fatunde and Crystal Tse · 2022
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Gender representation in ai – part 1: Utilizing stylegan to explore gender directions in face image editing, 8 2022
Isabal Hermes · 2022
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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Gra-gan: Generative adversarial network for image style transfer of gender, race, and age
Yu Hwan Kim, Se Hyun Nam, Seung Baek Hong, and Kang Ryoung Park · 2022
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Bigdatasetgan: Synthesizing imagenet with pixel-wise annotations
Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, and Antonio Torralba · 2022
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Evaluating clip: towards characterization of broader capabilities and downstream implications
Sandhini Agarwal, Gretchen Krueger, Jack Clark, Alec Radford, Jong Wook Kim, and Miles Brundage · 2021
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Synthesizing credit card transactions
Erik Altman · 2021
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Pass: An imagenet replacement for self-supervised pretraining without humans
Yuki M Asano, Christian Rupprecht, Andrew Zisserman, and Andrea Vedaldi · 2021
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The problem of fairness in synthetic healthcare data
Karan Bhanot, Miao Qi, John S Erickson, Isabelle Guyon, and Kristin P Bennett · 2021
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Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, and Emmanuel Kahembwe · 2021
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Stereotyping norwegian salmon: An inventory of pitfalls in fairness benchmark datasets
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna Wallach · 2021
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Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Nicole Meister, Dora Zhao, Angelina Wang, Vikram V Ramaswamy, Ruth Fong, and Olga Russakovsky · 2022
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Gan-supervised dense visual alignment
William Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A Efros, and Eli Shechtman · 2022
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Perturbation augmentation for fairer nlp
Rebecca Qian, Candace Ross, Jude Fernandes, Eric Smith, Douwe Kiela, and Adina Williams · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Midjourney Founder David Holz On The Impact Of AI On Art, Imagination And The Creative Economy
Rob Salkowitz · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
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Plug-and-play diffusion features for text-driven image-to-image translation
Narek Tumanyan, Michal Geyer, Shai Bagon, and Tali Dekel · 2022
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Junyang Wang, Yi Zhang, and Jitao Sang · 2022
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Auditing and generating synthetic data with controllable trust trade-offs
Brian Belgodere, Pierre Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jiri Navartil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, et al · 2023
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Debiasing vision-language models via biased prompts
Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, and Stefanie Jegelka · 2023
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Fair diffusion: Instructing text-to-image generation models on fairness
Felix Friedrich, Patrick Schramowski, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Sasha Luccioni, and Kristian Kersting · 2023
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Machine learning for synthetic data generation: a review
Yingzhou Lu, Huazheng Wang, and Wenqi Wei · 2023
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Stable bias: Analyzing societal representations in diffusion models
Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell, and Yacine Jernite · 2023
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Home Page, May 2023
MidJourney · 2023
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Dear: Debiasing vision-language models with additive residuals
Ashish Seth, Mayur Hemani, and Chirag Agarwal · 2023
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Overcoming bias in pretrained models by manipulating the finetuning dataset
Angelina Wang and Olga Russakovsky · 2023
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