Showing 1–18 of 18 results
/ Date/ Name
Oct 6, 2020Characterising Bias in Compressed ModelsOct 23, 2020Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and InfrastructureAug 9, 2021Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset DevelopmentDec 6, 2021Ethics and Creativity in Computer VisionNov 28, 2023SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ataDec 8, 2019Towards a Critical Race Methodology in Algorithmic FairnessNov 22, 2018Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement LearningJan 3, 2020Saving Face: Investigating the Ethical Concerns of Facial Recognition AuditingDec 3, 2021Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning ResearchNov 26, 2021AI and the Everything in the Whole Wide World BenchmarkDec 9, 2020Data and its (dis)contents: A survey of dataset development and use in machine learning researchJun 9, 2022CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset AnnotationMay 23, 2022Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingNov 22, 2022City-Wide Perceptions of Neighbourhood Quality using Street View ImagesMay 2, 2020Social Biases in NLP Models as Barriers for Persons with DisabilitiesFeb 9, 2020Diversity and Inclusion Metrics in Subset SelectionJun 18, 2015Deep Generative Image Models using a Laplacian Pyramid of Adversarial NetworksFeb 26, 2018Modeling Others using Oneself in Multi-Agent Reinforcement Learning