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Recent breakthroughs in self supervised training have led to a new class of pretrained vision language models.
Identifying and reducing gender bias in word-level language models
Shikha Bordia and Samuel R Bowman. 2019 · 1904
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Thomas Manzini, Yao Chong Lim, Yulia Tsvetkov, and Alan W Black. 2019 · 1904
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Visualbert: A simple and performant baseline for vision and language
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang. 2019 · 1908
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Lxmert: Learning cross-modality encoder representations from transformers
Hao Tan and Mohit Bansal. 2019 · 1908
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Exposing and correcting the gender bias in image captioning datasets and models
Shruti Bhargava and David Forsyth. 2019 · 1912
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Stereotypes of mexican descent persons: Attitudes of three generations of mexican americans and anglo-american adolescents
Raymond Buriel and Richard Vasquez. 1982 · 1982
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Words high and low in pleasantness as rated by male and female college students
Francis S Bellezza, Anthony G Greenwald, and Mahzarin R Banaji. 1986 · 1986
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Implicit social cognition: attitudes, self-esteem, and stereotypes
Anthony G Greenwald and Mahzarin R Banaji. 1995 · 1995
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Measuring individual differences in implicit cognition: the implicit association test
Anthony G Greenwald, Debbie E McGhee, and Jordan LK Schwartz. 1998 · 1998
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Formal and interpersonal discrimination: A field study of bias toward homosexual applicants
Michelle R Hebl, Jessica Bigazzi Foster, Laura M Mannix, and John F Dovidio. 2002 · 2002
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Measuring social biases in grounded vision and language embeddings
Candace Ross, Boris Katz, and Andrei Barbu. 2020 · 2002
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Core affect and the psychological construction of emotion
James A Russell. 2003 · 2003
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Stereoset: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy. 2020 · 2004
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Social biases in nlp models as barriers for persons with disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. 2020 · 2005
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Patterns and personality correlates of implicit and explicit attitudes toward christians and muslims
Wade C Rowatt, Lewis M Franklin, and Marla Cotton. 2005 · 2005
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Implicit stereotypes and women’s math performance: How implicit gender-math stereotypes influence women’s susceptibility to stereotype threat
Amy K Kiefer and Denise Sekaquaptewa. 2007 · 2007
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Implicit attitudes toward arab-muslims and the moderating effects of social information
Jaihyun Park, Karla Felix, and Grace Lee. 2007 · 2007
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Discrimination and the implicit association test
Laurie A Rudman and Richard D Ashmore. 2007 · 2007
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Large language models associate muslims with violence
Abubakar Abid, Maheen Farooqi, and James Zou. 2021 · 2021
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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 · 2021
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Sedigheh Eslami, Gerard de Melo, and Christoph Meinel. 2021 · 2021
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A survey on bias in deep nlp
Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Martínez-Santiago, and L Alfonso Ureña-López. 2021 · 2021
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Detecting emergent intersectional biases: Contextualized word embeddings contain a distribution of human-like biases
Wei Guo and Aylin Caliskan. 2021 · 2021
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Implicit attitudes and discrimination against people with physical disabilities
John F Dovidio, Lisa Pagotto, and Michelle R Hebl. 2011 · 2011
Cited alongside, same era.
Im2text: Describing images using 1 million captioned photographs
Vicente Ordonez, Girish Kulkarni, and Tamara L. Berg. 2011 · 2011
Cited alongside, same era.
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier. 2014 · 2014
Cited alongside, same era.
Sentiment analysis: Detecting valence, emotions, and other affectual states from text
Saif M Mohammad. 2016 · 2016
Cited alongside, same era.
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017 · 2017
Cited alongside, same era.
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut. 2018 · 2018
Cited alongside, same era.
Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. 2019 · 2019
Cited alongside, same era.
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Vilt: Vision-and-language transformer without convolution or region supervision
Wonjae Kim, Bokyung Son, and Ildoo Kim. 2021 · 2021
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi. 2021 · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021 · 2021
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Worst of both worlds: Biases compound in pre-trained vision-and-language models
Tejas Srinivasan and Yonatan Bisk. 2021 · 2021
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Image representations learned with unsupervised pre-training contain human-like biases
Ryan Steed and Aylin Caliskan. 2021 · 2021
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A study on the distribution of social biases in self-supervised learning visual models
Kirill Sirotkin, Pablo Carballeira, and Marcos Escudero-Viñolo. 2022 · 2022
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Vlstereoset: A study of stereotypical bias in pre-trained vision-language models
Kankan Zhou, Yibin LAI, and Jing Jiang. 2022 · 2022
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