ChromoHub: a data hub for navigators of chromatin-mediated signalling. - Lihua Liu; Xi Ting Zhen; Emily Denton; Brian D. Marsden; Matthieu Schapira (Bioinform., 2012)

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. - Emily L. Denton; Wojciech Zaremba; Joan Bruna; Yann LeCun; Rob Fergus (NIPS, 2014)

ChromoHub V2: cancer genomics. - Muhammad A. Shah; Emily Denton; Lihua Liu; Matthieu Schapira (Bioinform., 2014)

User Conditional Hashtag Prediction for Images. - Emily Denton; Jason Weston; Manohar Paluri; Lubomir D. Bourdev; Rob Fergus (KDD, 2015)

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. - Emily L. Denton; Soumith Chintala; Arthur Szlam; Rob Fergus (NIPS, 2015)

Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks. - Emily L. Denton; Sam Gross; Rob Fergus (CoRR, 2016)

Unsupervised Learning of Disentangled Representations from Video. - Emily L. Denton; Vighnesh Birodkar (NIPS, 2017)

Stochastic Video Generation with a Learned Prior. - Emily Denton; Rob Fergus (ICML, 2018)

Modeling Others using Oneself in Multi-Agent Reinforcement Learning. - Roberta Raileanu; Emily Denton; Arthur Szlam; Rob Fergus (ICML, 2018)

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning. - Sainbayar Sukhbaatar; Emily Denton; Arthur Szlam; Rob Fergus (CoRR, 2018)

Deep Generative Models of Images and Video. - Emily L. Denton (2018)

Detecting Bias with Generative Counterfactual Face Attribute Augmentation. - Emily Denton; Ben Hutchinson; Margaret Mitchell; Timnit Gebru (CoRR, 2019)

Social Biases in NLP Models as Barriers for Persons with Disabilities. - Ben Hutchinson; Vinodkumar Prabhakaran; Emily Denton; Kellie Webster; Yu Zhong; Stephen Denuyl (ACL, 2020)

Diversity and Inclusion Metrics in Subset Selection. - Margaret Mitchell; Dylan K. Baker; Nyalleng Moorosi; Emily Denton; Ben Hutchinson; Alex Hanna; Timnit Gebru; Jamie Morgenstern (AIES, 2020)

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. - Inioluwa Deborah Raji; Timnit Gebru; Margaret Mitchell; Joy Buolamwini; Joonseok Lee; Emily Denton (AIES, 2020)

Algorithmically encoded identities: reframing human classification. - Dylan K. Baker; Alex Hanna; Emily Denton (FAT*, 2020)

CtrlZ.AI zine fair: critical perspectives. - Alex Hanna; Emily Denton (FAT*, 2020)

Towards a critical race methodology in algorithmic fairness. - Alex Hanna; Emily Denton; Andrew Smart; Jamila Smith-Loud (FAT*, 2020)

Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. - Emily Denton; Alex Hanna; Razvan Amironesei; Andrew Smart; Hilary Nicole; Morgan Klaus Scheuerman (CoRR, 2020)

Characterising Bias in Compressed Models. - Sara Hooker; Nyalleng Moorosi; Gregory Clark; Samy Bengio; Emily Denton (CoRR, 2020)

Unintended machine learning biases as social barriers for persons with disabilitiess. - Ben Hutchinson; Vinodkumar Prabhakaran; Emily Denton; Kellie Webster; Yu Zhong; Stephen Denuyl (ACM SIGACCESS Access. Comput., 2020)

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; Margaret Mitchell (FAccT, 2021)

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. - Bernard Koch; Emily Denton; Alex Hanna; Jacob G. Foster (NeurIPS Datasets and Benchmarks, 2021)

AI and the Everything in the Whole Wide World Benchmark. - Inioluwa Deborah Raji; Emily Denton; Emily M. Bender; Alex Hanna; Amandalynne Paullada (NeurIPS Datasets and Benchmarks, 2021)

Artsheets for Art Datasets. - Ramya Srinivasan 002; Emily Denton; Jordan Famularo; Negar Rostamzadeh; Fernando Diaz 001; Beth Coleman (NeurIPS Datasets and Benchmarks, 2021)

Ethics and Creativity in Computer Vision. - Negar Rostamzadeh; Emily Denton; Linda Petrini (CoRR, 2021)

Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. - Emily Denton; Mark Díaz; Ian Kivlichan; Vinodkumar Prabhakaran; Rachel Rosen (CoRR, 2021)

Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. - Morgan Klaus Scheuerman; Alex Hanna; Emily Denton (Proc. ACM Hum. Comput. Interact., 2021)

Data and its (dis)contents: A survey of dataset development and use in machine learning research. - Amandalynne Paullada; Inioluwa Deborah Raji; Emily M. Bender; Emily Denton; Alex Hanna (Patterns, 2021)

Notes on Problem Formulation in Machine Learning. - Razvan Amironesei; Emily Denton; Umesh Ghanekar (IEEE Technol. Soc. Mag., 2021)

On the genealogy of machine learning datasets: A critical history of ImageNet. - Emily Denton; Alex Hanna; Razvan Amironesei; Andrew Smart; Hilary Nicole (Big Data Soc., 2021)

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. - Mark Díaz; Ian D. Kivlichan; Rachel Rosen; Dylan K. Baker; Razvan Amironesei; Vinodkumar Prabhakaran; Emily Denton (FAccT, 2022)

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. - Chitwan Saharia; William Chan; Saurabh Saxena; Lala Li; Jay Whang; Emily L. Denton; Seyed Kamyar Seyed Ghasemipour; Raphael Gontijo Lopes; Burcu Karagol Ayan; Tim Salimans; Jonathan Ho; David J. Fleet; et al. (NeurIPS, 2022)

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. - Chitwan Saharia; William Chan; Saurabh Saxena; Lala Li; Jay Whang; Emily Denton; Seyed Kamyar Seyed Ghasemipour; Burcu Karagol Ayan; S. Sara Mahdavi; Raphael Gontijo Lopes; Tim Salimans; Jonathan Ho; et al. (CoRR, 2022)

City-Wide Perceptions of Neighbourhood Quality using Street View Images. - Emily Muller; Emily Gemmell; Ishmam Choudhury; Ricky Nathvani; Antje Barbara Metzler; James E. Bennett; Emily Denton; Seth R. Flaxman; Majid Ezzati (CoRR, 2022)

Power and Public Participation in AI. - Eric Corbett; Emily Denton; Sheena Erete (EAAMO, 2023)

Interrogating the T in FAccT. - Eric Corbett; Emily Denton (FAccT, 2023)

"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models. - Vinitha Gadiraju; Shaun K. Kane; Sunipa Dev; Alex S. Taylor; Ding Wang; Emily Denton; Robin Brewer (FAccT, 2023)

AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. - Rida Qadri; Renee Shelby; Cynthia L. Bennett; Emily Denton (FAccT, 2023)

From Human to Data to Dataset: Mapping the Traceability of Human Subjects in Computer Vision Datasets. - Morgan Klaus Scheuerman; Katy Weathington; Tarun Mugunthan; Emily Denton; Casey Fiesler (Proc. ACM Hum. Comput. Interact., 2023)

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. - Akshita Jha; Vinodkumar Prabhakaran; Remi Denton; Sarah Laszlo; Shachi Dave; Rida Qadri; Chandan K. Reddy; Sunipa Dev (ACL (1), 2024)

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. - Mark Diaz; Sunipa Dev; Emily Reif; Emily Denton; Vinodkumar Prabhakaran (AIES (1), 2024)

"They only care to show us the wheelchair": disability representation in text-to-image AI models. - Kelly Avery Mack; Rida Qadri; Remi Denton; Shaun K. Kane; Cynthia L. Bennett (CHI, 2024)

Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action. - Tina M. Park; Adriana Alvarado Garcia; Juana Catalina Becerra Sandoval; Jiyoo Chang; Bill Curtis-Davidson; Remi Denton; Seeta Peña Gangadharan; Lara Groves; Jerremy Holland; Kenneth Holstein; Tamara Kneese; Jacob Metcalf; et al. (CSCW Companion, 2024)

Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations. - Michael Madaio; Shivani Kapania; Rida Qadri; Ding Wang; Andrew Zaldivar; Remi Denton; Lauren Wilcox (FAccT, 2024)

Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. - Akshita Jha; Vinodkumar Prabhakaran; Remi Denton; Sarah Laszlo; Shachi Dave; Rida Qadri; Chandan K. Reddy; Sunipa Dev (CoRR, 2024)

Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity. - Rida Qadri; Piotr Mirowski; Aroussiak Gabriellan; Farbod Mehr; Huma Gupta; Pamela Karimi; Remi Denton (CoRR, 2024)

Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating Harms and Fostering Community-Rooted Computer Vision Research. - Timnit Gebru; Remi Denton (Found. Trends Comput. Graph. Vis., 2024)

Amplifying Trans and Nonbinary Voices: A Community-Centred Harm Taxonomy for LLMs. - Eddie L. Ungless; Sunipa Dev; Cynthia L. Bennett; Rebecca Gulotta; Jasmijn Bastings; Remi Denton (ACL (1), 2025)

AI and Non-Western Art Worlds: Reimagining Critical AI Futures through Artistic Inquiry and Situated Dialogue. - Rida Qadri; Piotr Mirowski; Remi Denton (CHI, 2025)

Unanticipated Lessons from Communities: Navigating Society-CenteredResearch in the AI Era. - Ding Wang; Remi Denton; Anoop K. Sinha; Shruti Sheth; Lauren Wilcox; Maryam Mustafa; Motahhare Eslami; Ken Holstein; Maarten Sap; Angela D. R. Smith; Andrea G. Parker; Neha Kumar 001; et al. (CHI Extended Abstracts, 2025)

Towards Equitable Community-Industry Collaborations: Understanding the Experiences of Nonprofits' Collaborations with Tech Companies. - Sheena Erete; Eric Corbett; Natasha Smith-Walker; Jay L. Cunningham; Erin Gatz; Tina M. Park; Tam Perry; Lauren Wilcox; Remi Denton (Proc. ACM Hum. Comput. Interact., 2025)