Emily L. Denton
Orcid: 0000-0003-4915-0512Affiliations:
- Google, New York, NY, USA
According to our database1,
Emily L. Denton
authored at least 40 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2023
From Human to Data to Dataset: Mapping the Traceability of Human Subjects in Computer Vision Datasets.
Proc. ACM Hum. Comput. Interact., April, 2023
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023
2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
2021
Big Data Soc., July, 2021
Data and its (dis)contents: A survey of dataset development and use in machine learning research.
Patterns, 2021
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development.
Proc. ACM Hum. Comput. Interact., 2021
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
2020
Unintended machine learning biases as social barriers for persons with disabilitiess.
ACM SIGACCESS Access. Comput., 2020
CoRR, 2020
Proceedings of the FAT* '20: Conference on Fairness, 2020
Proceedings of the FAT* '20: Conference on Fairness, 2020
Proceedings of the FAT* '20: Conference on Fairness, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
CoRR, 2019
2018
CoRR, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
CoRR, 2016
2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2012
Bioinform., 2012