Fetching the paper…
Reading the bibliography…
Capturing the diversity of people in images is challenging: recent literature tends to focus on diversifying one or two attributes, requiring expensive attribute labels or building classifiers.
The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval . 335–336
Jaime Carbonell and Jade Goldstein. 1998 · 1998
Earlier work this paper cites.
Diversity and emotion: The new frontiers in organizational behavior research
Neal M Ashkanasy, Charmine EJ Härtel, and Catherine S Daus. 2002 · 2002
Earlier work this paper cites.
Recent research on team and organizational diversity: SWOT analysis and implications
Susan E Jackson, Aparna Joshi, and Niclas L Erhardt. 2003 · 2003
Earlier work this paper cites.
Learning a similarity metric discriminatively, with application to face verification. In 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05) , Vol. 1. IEEE, 539–546
Sumit Chopra, Raia Hadsell, and Yann LeCun. 2005 · 2005
Earlier work this paper cites.
Dimensionality reduction by learning an invariant mapping. In 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR’06) , Vol. 2. IEEE, 1735–1742
Raia Hadsell, Sumit Chopra, and Yann LeCun. 2006 · 2006
Earlier work this paper cites.
Visualrank: Applying pagerank to large-scale image search
Yushi Jing and Shumeet Baluja. 2008 · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition . Ieee, 248–255
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009 · 2009
Earlier work this paper cites.
Visual diversification of image search results. In Proceedings of the 18th international conference on World wide web . 341–350
Reinier H Van Leuken, Lluis Garcia, Ximena Olivares, and Roelof Van Zwol. 2009 · 2009
Earlier work this paper cites.
Large scale online learning of image similarity through ranking
Gal Chechik, Varun Sharma, Uri Shalit, and Samy Bengio. 2010 · 2010
Earlier work this paper cites.
Age diversity, age discrimination climate and performance consequences—a cross organizational study
Florian Kunze, Stephan A Boehm, and Heike Bruch. 2011 · 2011
Earlier work this paper cites.
Max-sum diversification, monotone submodular functions and dynamic updates. In Proceedings of the 31st ACM SIGMOD-SIGACT-SIGAI symposium on Principles of Database Systems . 155–166
Allan Borodin, Hyun Chul Lee, and Yuli Ye. 2012 · 2012
Earlier work this paper cites.
Muslim women’s workplace experiences: Implications for strategic diversity initiatives
Terrie C Reeves, Arlise P McKinney, and Laila Azam. 2012 · 2012
Earlier work this paper cites.
Multimodal graph-based reranking for web image search
Meng Wang, Hao Li, Dacheng Tao, Ke Lu, and Xindong Wu. 2012 · 2012
Earlier work this paper cites.
Religious discrimination in the workplace: A review and examination of current and future trends
Sonia Ghumman, Ann Marie Ryan, Lizabeth A Barclay, and Karen S Markel. 2013 · 2013
Earlier work this paper cites.
Diversity ideologies and intergroup relations: An examination of colorblindness and multiculturalism
Aneeta Rattan and Nalini Ambady. 2013 · 2013
Earlier work this paper cites.
Logdet divergence-based metric learning with triplet constraints and its applications
Jiangyuan Mei, Meizhu Liu, Hamid Reza Karimi, and Huijun Gao. 2014 · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2014 · 2014
Earlier work this paper cites.
Learning fine-grained image similarity with deep ranking. In Proceedings of the IEEE conference on computer vision and pattern recognition . 1386–1393
Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, and Ying Wu. 2014 · 2014
Earlier work this paper cites.
Learning to rank using user clicks and visual features for image retrieval
Jun Yu, Dacheng Tao, Meng Wang, and Yong Rui. 2014 · 2014
Earlier work this paper cites.
Censoring representations with an adversary
Harrison Edwards and Amos Storkey. 2015 · 2015
Earlier work this paper cites.
Deep metric learning using triplet network. In Similarity-Based Pattern Recognition: Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings 3 . Springer, 84–92
Elad Hoffer and Nir Ailon. 2015 · 2015
Earlier work this paper cites.
Unequal representation and gender stereotypes in image search results for occupations. In Proceedings of the 33rd annual acm conference on human factors in computing systems . 3819–3828
Matthew Kay, Cynthia Matuszek, and Sean A Munson. 2015 · 2015
Earlier work this paper cites.
The variational fair autoencoder
Christos Louizos, Kevin Swersky, Yujia Li, Max Welling, and Richard Zemel. 2015 · 2015
Earlier work this paper cites.
New frontiers in diversity research: Conceptions of diversity and their theoretical and practical implications
Victoria C Plaut, Sapna Cheryan, and Flannery G Stevens. 2015 · 2015
Cited alongside, same era.
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
Cited alongside, same era.
L Elisa Celis, Amit Deshpande, Tarun Kathuria, and Nisheeth K Vishnoi. 2016 · 2016
Cited alongside, same era.
Fine-grained categorization and dataset bootstrapping using deep metric learning with humans in the loop. In Proceedings of the IEEE conference on computer vision and pattern recognition . 1153–1162
Yin Cui, Feng Zhou, Yuanqing Lin, and Serge Belongie. 2016 · 2016
Cited alongside, same era.
Learning transferable visual models from natural language supervision. In International conference on machine learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
A step toward more inclusive people annotations for fairness. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society . 916–925
Candice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, and Caroline Pantofaru. 2021 · 2021
Later among the works it cites.
#SeeItBeIt: What Families are Seeing on TV
Sabyasachee Baruah, Digbalay Bose, Meredith Conroy, Shrikanth S. Narayanan, Susanna Ricco, Komal Singh, and Krishna Somandepalli. 2022 · 2022
Later among the works it cites.
Dealing with disagreements: Looking beyond the majority vote in subjective annotations
Aida Mostafazadeh Davani, Mark Díaz, and Vinodkumar Prabhakaran. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Alexander Hermans, Lucas Beyer, and Bastian Leibe. 2017 · 2017
Cited alongside, same era.
Image re-ranking based on topic diversity
Xueming Qian, Dan Lu, Yaxiong Wang, Li Zhu, Yuan Yan Tang, and Meng Wang. 2017 · 2017
Cited alongside, same era.
Fair and diverse DPP-based data summarization. In International conference on machine learning . PMLR, 716–725
Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, and Nisheeth Vishnoi. 2018 · 2018
Cited alongside, same era.
Body image diversity in the media: A content analysis of women’s fashion magazines
Catarina de Freitas, Helen Jordan, and Elizabeth K Hughes. 2018 · 2018
Cited alongside, same era.
Using image fairness representations in diversity-based re-ranking for recommendations. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization . 23–28
Chen Karako and Putra Manggala. 2018 · 2018
Cited alongside, same era.
Learning adversarially fair and transferable representations. In International Conference on Machine Learning . PMLR, 3384–3393
David Madras, Elliot Creager, Toniann Pitassi, and Richard Zemel. 2018 · 2018
Cited alongside, same era.
Algorithms of Oppression
Safiya Umoja Noble. 2018 · 2018
Cited alongside, same era.
Investigating user perception of gender bias in image search: the role of sexism. In The 41st International ACM SIGIR conference on research & development in information retrieval . 933–936
Jahna Otterbacher, Alessandro Checco, Gianluca Demartini, and Paul Clough. 2018 · 2018
Cited alongside, same era.
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 2342–2351
Mark Díaz, Ian Kivlichan, Rachel Rosen, Dylan Baker, Razvan Amironesei, Vinodkumar Prabhakaran, and Emily Denton. 2022 · 2022
Later among the works it cites.
Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation
Nitesh Goyal, Ian D. Kivlichan, Rachel Rosen, and Lucy Vasserman. 2022 · 2022
Later among the works it cites.
Modeling Subjective Affect Annotations with Multi-Task Learning
Hassan Hayat, Carles Ventura, and Agata Lapedriza. 2022 · 2022
Later among the works it cites.
Does clip bind concepts? probing compositionality in large image models
Martha Lewis, Qinan Yu, Jack Merullo, and Ellie Pavlick. 2022 · 2022
Later among the works it cites.
Generating and Controlling Diversity in Image Search. In 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) . 3908–3916
Md Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, and Garrison W. Cottrell. 2022 · 2022
Later among the works it cites.
Linear adversarial concept erasure. In International Conference on Machine Learning . PMLR, 18400–18421
Shauli Ravfogel, Michael Twiton, Yoav Goldberg, and Ryan D Cotterell. 2022 · 2022
Later among the works it cites.
Generating and controlling diversity in image search. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision . 411–419
Md Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, and Garrison W Cottrell. 2022 · 2022
Later among the works it cites.
Coca: Contrastive captioners are image-text foundation models
Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, and Yonghui Wu. 2022a · 2022
Later among the works it cites.
Scaling autoregressive models for content-rich text-to-image generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, et al · 2022
Later among the works it cites.
A View From Somewhere: Human-Centric Face Representations
Jerone TA Andrews, Przemyslaw Joniak, and Alice Xiang. 2023 · 2023
Later among the works it cites.
The Reasonable Effectiveness of Diverse Evaluation Data
Lora Aroyo, Mark Diaz, Christopher Homan, Vinodkumar Prabhakaran, Alex Taylor, and Ding Wang. 2023 · 2023
Later among the works it cites.
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 3043–3054
Jaemin Cho, Abhay Zala, and Mohit Bansal. 2023 · 2023
Later among the works it cites.
Debiasing vision-language models via biased prompts
Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, and Stefanie Jegelka. 2023 · 2023
Later among the works it cites.
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 · 2023
Later among the works it cites.
Aligning text-to-image models using human feedback
Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, and Shixiang Shane Gu. 2023 · 2023
Later among the works it cites.
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann, Gbolahan O Olanubi, Auriel Wright, Ellis Monk Jr, Courtney Heldreth, and Susanna Ricco. 2023 · 2023
Later among the works it cites.
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency . 1735–1746
Pedro Silva, Bhawna Juneja, Shloka Desai, Ashudeep Singh, and Nadia Fawaz. 2023 · 2023
Later among the works it cites.
The Independent Compositional Subspace Hypothesis for the Structure of CLIP’s Last Layer. In ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation Models
Max Wolff, Wieland Brendel, and Stuart Wolff. 2023 · 2023
Later among the works it cites.
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable and Controllable Text-Guided Face Manipulation. In ACM SIGGRAPH 2023 Conference Proceedings . 1–9
Chenliang Zhou, Fangcheng Zhong, and Cengiz Öztireli. 2023 · 2023
Later among the works it cites.