Remi Denton

Orcid: 0000-0003-4915-0512

Affiliations:
  • Google, New York, NY, USA


According to our database1, Remi Denton authored at least 47 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Beyond Fairness in Computer Vision: A Holistic Approach to Mitigating Harms and Fostering Community-Rooted Computer Vision Research.
Found. Trends Comput. Graph. Vis., 2024

Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.
CoRR, 2024

Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

"They only care to show us the wheelchair": disability representation in text-to-image AI models.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
From Human to Data to Dataset: Mapping the Traceability of Human Subjects in Computer Vision Datasets.
Proc. ACM Hum. Comput. Interact., April, 2023

SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata.
CoRR, 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

Interrogating the T in FAccT.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Power and Public Participation in AI.
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022
City-Wide Perceptions of Neighbourhood Quality using Street View Images.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
CoRR, 2022

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.
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
On the genealogy of machine learning datasets: A critical history of ImageNet.
Big Data Soc., July, 2021

Notes on Problem Formulation in Machine Learning.
IEEE Technol. Soc. Mag., 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

Ethics and Creativity in Computer Vision.
CoRR, 2021

Artsheets for Art Datasets.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

AI and the Everything in the Whole Wide World Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research.
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

Characterising Bias in Compressed Models.
CoRR, 2020

Bringing the People Back In: Contesting Benchmark Machine Learning Datasets.
CoRR, 2020

Towards a critical race methodology in algorithmic fairness.
Proceedings of the FAT* '20: Conference on Fairness, 2020

CtrlZ.AI zine fair: critical perspectives.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Algorithmically encoded identities: reframing human classification.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Diversity and Inclusion Metrics in Subset Selection.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

Social Biases in NLP Models as Barriers for Persons with Disabilities.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Detecting Bias with Generative Counterfactual Face Attribute Augmentation.
CoRR, 2019

2018
Deep Generative Models of Images and Video.
PhD thesis, 2018

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning.
CoRR, 2018

Modeling Others using Oneself in Multi-Agent Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic Video Generation with a Learned Prior.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Unsupervised Learning of Disentangled Representations from Video.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks.
CoRR, 2016

2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

User Conditional Hashtag Prediction for Images.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
ChromoHub V2: cancer genomics.
Bioinform., 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012
ChromoHub: a data hub for navigators of chromatin-mediated signalling.
Bioinform., 2012


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