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05/19/2023
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
This paper presents a community-centered study of cultural limitations o...
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11/22/2022
City-Wide Perceptions of Neighbourhood Quality using Street View Images
The interactions of individuals with city neighbourhoods is determined, ...
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06/09/2022
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation
Human annotated data plays a crucial role in machine learning (ML) resea...
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05/23/2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
We present Imagen, a text-to-image diffusion model with an unprecedented...
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12/08/2021
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation
Human annotations play a crucial role in machine learning (ML) research ...
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12/06/2021
Ethics and Creativity in Computer Vision
This paper offers a retrospective of what we learnt from organizing the ...
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12/03/2021
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Benchmark datasets play a central role in the organization of machine le...
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11/26/2021
AI and the Everything in the Whole Wide World Benchmark
There is a tendency across different subfields in AI to valorize a small...
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08/09/2021
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
Data is a crucial component of machine learning. The field is reliant on...
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12/09/2020
Data and its (dis)contents: A survey of dataset development and use in machine learning research
Datasets have played a foundational role in the advancement of machine l...
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10/23/2020
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Rising concern for the societal implications of artificial intelligence ...
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10/06/2020
Characterising Bias in Compressed Models
The popularity and widespread use of pruning and quantization is driven ...
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07/14/2020
Bringing the People Back In: Contesting Benchmark Machine Learning Datasets
In response to algorithmic unfairness embedded in sociotechnical systems...
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05/02/2020
Social Biases in NLP Models as Barriers for Persons with Disabilities
Building equitable and inclusive NLP technologies demands consideration ...
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02/09/2020
Diversity and Inclusion Metrics in Subset Selection
The ethical concept of fairness has recently been applied in machine lea...
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01/03/2020
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Although essential to revealing biased performance, well intentioned att...
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12/08/2019
Towards a Critical Race Methodology in Algorithmic Fairness
We examine the way race and racial categories are adopted in algorithmic...
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06/14/2019
Detecting Bias with Generative Counterfactual Face Attribute Augmentation
We introduce a simple framework for identifying biases of a smiling attr...
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11/22/2018
Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning
In hierarchical reinforcement learning a major challenge is determining ...
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02/26/2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
We consider the multi-agent reinforcement learning setting with imperfec...
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02/21/2018
Stochastic Video Generation with a Learned Prior
Generating video frames that accurately predict future world states is c...
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05/31/2017
Unsupervised Learning of Disentangled Representations from Video
We present a new model DrNET that learns disentangled image representati...
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11/19/2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
We introduce a simple semi-supervised learning approach for images based...
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06/18/2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
In this paper we introduce a generative parametric model capable of prod...
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04/02/2014