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Found 4 papers, 1 papers with code
Gender Bias in Text: Origin, Taxonomy, and Implications
Gender inequality represents a considerable loss of human potential and perpetuates a culture of violence, higher gender wage gaps, and a lack of representation of women in higher and leadership positions.
A Deep Dive into Deep Cluster
Pretraining visual models using supervised learning requires a significant amount of expensive data annotation.
Inter-model Interpretability: Self-supervised Models as a Case Study
Since early machine learning models, metrics such as accuracy and precision have been the de facto way to evaluate and compare trained models.
Gender Bias in Text: Labeled Datasets and Lexicons
Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles.
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