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ORCIDRemi Denton
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- affiliation: Google, New York, NY, USA
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2020 – today
- 2024
[j9]Timnit Gebru, Remi Denton:
Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating Harms and Fostering Community-Rooted Computer Vision Research. Found. Trends Comput. Graph. Vis. 16(3): 215-321 (2024)- [c27]Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) 2024: 12333-12347 - [c26]Mark Diaz, Sunipa Dev, Emily Reif, Emily Denton, Vinodkumar Prabhakaran:
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. AIES (1) 2024: 371-383 - [c25]Kelly Avery Mack
, Rida Qadri, Remi Denton, Shaun K. Kane, Cynthia L. Bennett:
"They only care to show us the wheelchair": disability representation in text-to-image AI models. CHI 2024: 288:1-288:23 - [c24]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, Emanuel Moss, Wilneida Negrón, Afsaneh Rigot, Lauren Wilcox:
Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action. CSCW Companion 2024: 748-751 - [c23]Michael Madaio, Shivani Kapania, Rida Qadri, Ding Wang, Andrew Zaldivar, Remi Denton, Lauren Wilcox:
Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations. FAccT 2024: 1544-1558 - [i28]Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev:
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR abs/2401.06310 (2024) - [i27]Rida Qadri, Piotr Mirowski, Aroussiak Gabriellan, Farbod Mehr, Huma Gupta, Pamela Karimi, Remi Denton:
Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity. CoRR abs/2412.14077 (2024) - 2023
- [j8]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): 1-33 (2023) - [c22]Eric Corbett, Emily Denton, Sheena Erete:
Power and Public Participation in AI. EAAMO 2023: 8:1-8:13 - [c21]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: 205-216 - [c20]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: 506-517 - [c19]Eric Corbett, Emily Denton:
Interrogating the T in FAccT. FAccT 2023: 1624-1634 - [i26]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 abs/2305.11844 (2023) - [i25]Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran:
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. CoRR abs/2311.17259 (2023) - 2022
- [c18]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: 2342-2351 - [c17]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, Mohammad Norouzi:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. NeurIPS 2022 - [i24]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, David J. Fleet, Mohammad Norouzi:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR abs/2205.11487 (2022) - [i23]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 abs/2206.08931 (2022) - [i22]Emily Muller, Emily Gemmell, Ishmam Choudhury, Ricky Nathvani, Antje Barbara Metzler, James E. Bennett, Emily Denton, Seth R. Flaxman, Majid Ezzati:
City-Wide Perceptions of Neighbourhood Quality using Street View Images. CoRR abs/2211.12139 (2022) - 2021
- [j7]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): 205395172110359 (2021) - [j6]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): 317:1-317:37 (2021) - [j5]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): 100336 (2021) - [j4]Razvan Amironesei, Emily Denton, Umesh Ghanekar:
Notes on Problem Formulation in Machine Learning. IEEE Technol. Soc. Mag. 40(3): 80-83 (2021) - [c16]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: 560-575 - [c15]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 - [c14]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 - [c13]Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman:
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks 2021 - [i21]Morgan Klaus Scheuerman, Emily Denton, Alex Hanna:
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. CoRR abs/2108.04308 (2021) - [i20]Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada, Emily Denton, Alex Hanna:
AI and the Everything in the Whole Wide World Benchmark. CoRR abs/2111.15366 (2021) - [i19]Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. CoRR abs/2112.01716 (2021) - [i18]Negar Rostamzadeh, Emily Denton, Linda Petrini:
Ethics and Creativity in Computer Vision. CoRR abs/2112.03111 (2021) - [i17]Emily Denton, Mark Díaz, Ian Kivlichan, Vinodkumar Prabhakaran, Rachel Rosen:
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation. CoRR abs/2112.04554 (2021) - 2020
- [j3]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: 9 (2020) - [c12]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: 5491-5501 - [c11]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. AIES 2020: 117-123 - [c10]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: 145-151 - [c9]Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud:
Towards a critical race methodology in algorithmic fairness. FAT* 2020: 501-512 - [c8]Dylan K. Baker, Alex Hanna, Emily Denton:
Algorithmically encoded identities: reframing human classification. FAT* 2020: 681 - [c7]Alex Hanna, Emily Denton:
CtrlZ.AI zine fair: critical perspectives. FAT* 2020: 686 - [i16]Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton:
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. CoRR abs/2001.00964 (2020) - [i15]Margaret Mitchell, Dylan K. Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern:
Diversity and Inclusion Metrics in Subset Selection. CoRR abs/2002.03256 (2020) - [i14]Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Social Biases in NLP Models as Barriers for Persons with Disabilities. CoRR abs/2005.00813 (2020) - [i13]Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, Morgan Klaus Scheuerman:
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets. CoRR abs/2007.07399 (2020) - [i12]Sara Hooker, Nyalleng Moorosi, Gregory Clark, Samy Bengio, Emily Denton:
Characterising Bias in Compressed Models. CoRR abs/2010.03058 (2020) - [i11]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 abs/2010.13561 (2020) - [i10]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 abs/2012.05345 (2020)
2010 – 2019
- 2019
- [i9]Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru:
Detecting Bias with Generative Counterfactual Face Attribute Augmentation. CoRR abs/1906.06439 (2019) - [i8]Alex Hanna, Emily Denton, Andrew Smart, Jamila Smith-Loud:
Towards a Critical Race Methodology in Algorithmic Fairness. CoRR abs/1912.03593 (2019) - 2018
- [b1]Emily L. Denton:
Deep Generative Models of Images and Video. New York University, USA, 2018 - [c6]Emily Denton, Rob Fergus:
Stochastic Video Generation with a Learned Prior. ICML 2018: 1182-1191 - [c5]Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus:
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. ICML 2018: 4254-4263 - [i7]Emily Denton, Rob Fergus:
Stochastic Video Generation with a Learned Prior. CoRR abs/1802.07687 (2018) - [i6]Roberta Raileanu, Emily Denton, Arthur Szlam, Rob Fergus:
Modeling Others using Oneself in Multi-Agent Reinforcement Learning. CoRR abs/1802.09640 (2018) - [i5]Sainbayar Sukhbaatar, Emily Denton, Arthur Szlam, Rob Fergus:
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning. CoRR abs/1811.09083 (2018) - 2017
- [c4]Emily L. Denton, Vighnesh Birodkar:
Unsupervised Learning of Disentangled Representations from Video. NIPS 2017: 4414-4423 - [i4]Emily Denton, Vighnesh Birodkar:
Unsupervised Learning of Disentangled Representations from Video. CoRR abs/1705.10915 (2017) - 2016
- [i3]Emily L. Denton, Sam Gross, Rob Fergus:
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks. CoRR abs/1611.06430 (2016) - 2015
- [c3]Emily Denton, Jason Weston, Manohar Paluri, Lubomir D. Bourdev, Rob Fergus:
User Conditional Hashtag Prediction for Images. KDD 2015: 1731-1740 - [c2]Emily L. Denton, Soumith Chintala, Arthur Szlam, Rob Fergus:
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. NIPS 2015: 1486-1494 - [i2]Emily L. Denton, Soumith Chintala, Arthur Szlam, Robert Fergus:
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks. CoRR abs/1506.05751 (2015) - 2014
- [j2]Muhammad A. Shah, Emily Denton, Lihua Liu, Matthieu Schapira:
ChromoHub V2: cancer genomics. Bioinform. 30(4): 590-592 (2014) - [c1]Emily L. Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus:
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. NIPS 2014: 1269-1277 - [i1]Emily Denton, Wojciech Zaremba, Joan Bruna, Yann LeCun, Rob Fergus:
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation. CoRR abs/1404.0736 (2014) - 2012
- [j1]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): 2205-2206 (2012)
Coauthor Index
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last updated on 2025-03-04 22:24 CET by the dblp team
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