References

• 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,544 cited
• 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints878 cited
• 2018Women Also Snowboard: Overcoming Bias in Captioning Models404 cited
• 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations359 cited
• 2021Multimodal datasets: misogyny, pornography, and malignant stereotypes345 cited
• 2020Towards fairer datasets254 cited
• 2019Predictive Inequity in Object Detection194 cited
• 2021Understanding and Evaluating Racial Biases in Image Captioning83 cited
• 2020REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets72 cited
• 2019Fair Generative Modeling via Weak Supervision52 cited
• 2022Quantifying Societal Bias Amplification in Image Captioning49 cited
• 2021One Label, One Billion Faces46 cited
• 2023Uncurated Image-Text Datasets: Shedding Light on Demographic Bias43 cited
• 2021Imperfect ImaGANation: Implications of GANs exacerbating biases on facial data augmentation and snapchat face lenses42 cited
• 2021Measuring Social Biases in Grounded Vision and Language Embeddings