Emily Denton

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 45

Top Topics

Diffusion Models

Machine Learning

Unsupervised Learning

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Rida Qadri, Renee Shelby, Cynthia L. Bennett, Emily Denton
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. FAccT (2023)
Eric Corbett, Emily Denton, Sheena Erete
Power and Public Participation in AI. EAAMO (2023)
Morgan Klaus Scheuerman, Katy Weathington, Tarun Mugunthan, Emily Denton, Casey Fiesler
From Human to Data to Dataset: Mapping the Traceability of Human Subjects in Computer Vision Datasets. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Eric Corbett, Emily Denton
Interrogating the T in FAccT. FAccT (2023)
Vinitha Gadiraju, Shaun K. Kane, Sunipa Dev, Alex S. Taylor, Ding Wang, Emily Denton, Robin Brewer
"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models. FAccT (2023)
Rida Qadri, Renee Shelby, Cynthia L. Bennett, Emily Denton
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. CoRR (2023)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR (2022)
Mark Díaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. FAccT (2022)
Mark Diaz, Ian D. Kivlichan, Rachel Rosen, Dylan K. Baker, Razvan Amironesei, Vinodkumar Prabhakaran, Emily Denton
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation. CoRR (2022)
Emily Muller, Emily Gemmell, Ishmam Choudhury, Ricky Nathvani, Antje Barbara Metzler, James Bennett, Emily Denton, Seth Flaxman, Majid Ezzati
City-Wide Perceptions of Neighbourhood Quality using Street View Images. CoRR (2022)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. FAccT (2021)
Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada, Emily Denton, Alex Hanna
AI and the Everything in the Whole Wide World Benchmark. CoRR (2021)
Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. CoRR (2021)
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna
Data and its (dis)contents: A survey of dataset development and use in machine learning research. Patterns 2 (11) (2021)
Negar Rostamzadeh, Emily Denton, Linda Petrini
Ethics and Creativity in Computer Vision. CoRR (2021)
Morgan Klaus Scheuerman, Emily Denton, Alex Hanna
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. CoRR (2021)
Razvan Amironesei, Emily Denton, Umesh Ghanekar
Notes on Problem Formulation in Machine Learning. IEEE Technol. Soc. Mag. 40 (3) (2021)
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole
On the genealogy of machine learning datasets: A critical history of ImageNet. Big Data Soc. 8 (2) (2021)
Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. CoRR (2021)
Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. NeurIPS Datasets and Benchmarks (2021)
Morgan Klaus Scheuerman, Alex Hanna, Emily Denton
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks (2021)
Inioluwa Deborah Raji, Emily Denton, Emily M. Bender, Alex Hanna, Amandalynne Paullada
AI and the Everything in the Whole Wide World Benchmark. NeurIPS Datasets and Benchmarks (2021)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. CoRR (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. AIES (2020)
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. CoRR (2020)
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. CoRR (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. CoRR (2020)
Alex Hanna, Emily Denton
CtrlZ.AI zine fair: critical perspectives. FAT* (2020)
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
Social Biases in NLP Models as Barriers for Persons with Disabilities. ACL (2020)
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
Social Biases in NLP Models as Barriers for Persons with Disabilities. CoRR (2020)
Dylan Baker, Alex Hanna, Emily Denton
Algorithmically encoded identities: reframing human classification. FAT* (2020)
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna
Data and its (dis)contents: A survey of dataset development and use in machine learning research. CoRR (2020)
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
Unintended machine learning biases as social barriers for persons with disabilitiess. ACM SIGACCESS Access. Comput. 125 (2020)
Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton
Characterising Bias in Compressed Models. CoRR (2020)
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. AIES (2020)
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
Towards a critical race methodology in algorithmic fairness. FAT* (2020)
Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud
Towards a Critical Race Methodology in Algorithmic Fairness. CoRR (2019)
Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru
Detecting Bias with Generative Counterfactual Face Attribute Augmentation. CoRR (2019)
Emily Denton, Rob Fergus
Stochastic Video Generation with a Learned Prior. ICML (2018)
Emily Denton, Rob Fergus
Stochastic Video Generation with a Learned Prior. CoRR (2018)
Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning. CoRR (2018)
Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. CoRR (2018)
Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. ICML (2018)
Emily Denton, Vighnesh Birodkar
Unsupervised Learning of Disentangled Representations from Video. CoRR (2017)
Emily Denton, Jason Weston, Manohar Paluri, Lubomir D. Bourdev, Rob Fergus
User Conditional Hashtag Prediction for Images. KDD (2015)
Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR (2014)
Muhammad A. Shah, Emily Denton, Lihua Liu, Matthieu Schapira
ChromoHub V2: cancer genomics. Bioinform. 30 (4) (2014)
Lihua Liu, Xi Ting Zhen, Emily Denton, Brian D. Marsden, Matthieu Schapira
ChromoHub: a data hub for navigators of chromatin-mediated signalling. Bioinform. 28 (16) (2012)