Fetching the paper…
Reading the bibliography…
Accurate representation in media is known to improve the well-being of the people who consume it.
The dynamic elements of culture
Ben Halpern · 1955
Earlier work this paper cites.
Overrepresentation and underrepresentation of african americans and latinos as lawbreakers on television news
Travis L Dixon and Daniel Linz · 2000
Earlier work this paper cites.
The portrayal of racial minorities on prime time television
Dana E Mastro and Bradley S Greenberg · 2000
Earlier work this paper cites.
Identity, identification, and media representation in video game play: An audience reception study
Adrienne Shaw · 2010
Earlier work this paper cites.
‘to be able to imagine otherwise’: community archives and the importance of representation
Michelle Caswell, Alda Allina Migoni, Noah Geraci, and Marika Cifor · 2017
Earlier work this paper cites.
Mikołaj Bińkowski, Danica J Sutherland, Michael Arbel, and Arthur Gretton · 2018
Earlier work this paper cites.
The power of (mis) representation: Why racial and ethnic stereotypes in the media matter
Mari Castañeda · 2018
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Why on-screen representation matters, according to these teens
Rawan Elbaba · 2019
Earlier work this paper cites.
Wikipedia cultural diversity dataset: A complete cartography for 300 language editions
Marc Miquel-Ribé and David Laniado · 2019
Earlier work this paper cites.
Mlm: a benchmark dataset for multitask learning with multiple languages and modalities
Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh, Swati, Maria Maleshkova, Ralph Ewerth, and Jens Lehmann · 2020
Earlier work this paper cites.
Adversarial crowdsourcing through robust rank-one matrix completion
Qianqian Ma and Alex Olshevsky · 2020
Earlier work this paper cites.
Bias in data-driven artificial intelligence systems—an introductory survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, et al · 2020
Earlier work this paper cites.
Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, and Emmanuel Kahembwe · 2021
Earlier work this paper cites.
Redcaps: Web-curated image-text data created by the people, for the people
Karan Desai, Gaurav Kaul, Zubin Aysola, and Justin Johnson · 2021
Earlier work this paper cites.
CLIPScore: a reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2021
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Earlier work this paper cites.
Towards accountability for machine learning datasets: Practices from software engineering and infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, and Margaret Mitchell · 2021
Earlier work this paper cites.
Visually grounded reasoning across languages and cultures
Fangyu Liu, Emanuele Bugliarello, E. Ponti, Siva Reddy, Nigel Collier, and Desmond Elliott · 2021
Earlier work this paper cites.
Dataset diversity: measuring and mitigating geographical bias in image search and retrieval
Abhishek Mandal, Susan Leavy, and Suzanne Little · 2021
Earlier work this paper cites.
Cdpam: Contrastive learning for perceptual audio similarity
Pranay Manocha, Zeyu Jin, Richard Zhang, and Adam Finkelstein · 2021
Cited alongside, same era.
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
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models, 2021
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
Cited alongside, same era.
Do datasets have politics? disciplinary values in computer vision dataset development
Morgan Klaus Scheuerman, Alex Hanna, and Emily Denton · 2021
Cited alongside, same era.
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki · 2021
Cited alongside, same era.
On hate scaling laws for data-swamps, 2023
Abeba Birhane, Vinay Prabhu, Sang Han, and Vishnu Naresh Boddeti · 2023
Later among the works it cites.
Midas v3.1 – a model zoo for robust monocular relative depth estimation
Reiner Birkl, Diana Wofk, and Matthias Müller · 2023
Later among the works it cites.
Directly fine-tuning diffusion models on differentiable rewards
Kevin Clark, Paul Vicol, Kevin Swersky, and David J Fleet · 2023
Later among the works it cites.
Dreamsim: Learning new dimensions of human visual similarity using synthetic data
Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, and Phillip Isola · 2023
Later among the works it cites.
Concept sliders: Lora adaptors for precise control in diffusion models
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, and Marc Najork · 2021
Cited alongside, same era.
Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, et al · 2022
Cited alongside, same era.
Robots enact malignant stereotypes
Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, and Matthew Gombolay · 2022
Cited alongside, same era.
Diffusionclip: Text-guided diffusion models for robust image manipulation
Gwanghyun Kim, Taesung Kwon, and Jong Chul Ye · 2022
Cited alongside, same era.
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
Cited alongside, same era.
Fine-tuning diffusion models with limited data
Taehong Moon, Moonseok Choi, Gayoung Lee, Jung-Woo Ha, and Juho Lee · 2022
Cited alongside, same era.
Text to pokemon generator, 2022
Justin Pinkney · 2022
Cited alongside, same era.
Rohit Gandikota, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, and David Bau · 2023
Later among the works it cites.
Uncurated image-text datasets: Shedding light on demographic bias
Noa Garcia, Yusuke Hirota, Yankun Wu, and Yuta Nakashima · 2023
Later among the works it cites.
The viral ai avatar app lensa undressed me without my consent, 2022
Melissa Heikkilä · 2023
Later among the works it cites.
Ablating concepts in text-to-image diffusion models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, and Jun-Yan Zhu · 2023
Later among the works it cites.
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
Later among the works it cites.
Specialist diffusion: Plug-and-play sample-efficient fine-tuning of text-to-image diffusion models to learn any unseen style
Haoming Lu, Hazarapet Tunanyan, Kai Wang, Shant Navasardyan, Zhangyang Wang, and Humphrey Shi · 2023
Later among the works it cites.
Stable bias: Evaluating societal representations in diffusion models
Sasha Luccioni, Christopher Akiki, Margaret Mitchell, and Yacine Jernite · 2023
Later among the works it cites.
Crowd-certain: Label aggregation in crowdsourced and ensemble learning classification, 2023
Mohammad S. Majdi and Jeffrey J. Rodriguez · 2023
Later among the works it cites.
Dinov2: Learning robust visual features without supervision, 2023
Maxime Oquab, Timothée Darcet, Theo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Russell Howes, Po-Yao Huang, Hu Xu, Vasu Sharma, Shang-Wen Li, Wojciech Galuba, Mike Rabbat, Mido Assran, Nicolas Ballas, Gabriel Synnaeve, Ishan Misra, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2023
Later among the works it cites.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
Later among the works it cites.
Frida: A collaborative robot painter with a differentiable, real2sim2real planning environment
Peter Schaldenbrand, James McCann, and Jean Oh · 2023
Later among the works it cites.
Learning from crowds with crowd-kit, 2023
Dmitry Ustalov, Nikita Pavlichenko, and Boris Tseitlin · 2023
Later among the works it cites.
End-to-end diffusion latent optimization improves classifier guidance
Bram Wallace, Akash Gokul, Stefano Ermon, and Nikhil Naik · 2023
Later among the works it cites.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
Later among the works it cites.
Unified concept editing in diffusion models
Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzyńska, and David Bau · 2024
Closest in time.