Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
Existing research in measuring and mitigating gender bias predominantly centers on
English, overlooking the intricate challenges posed by non-English languages and the …
English, overlooking the intricate challenges posed by non-English languages and the …
A survey of visual analytics research for improving training data quality
In the applications of machine learning, it is difficult to ensure the quality of training data due
to the various sources of training data and the inexperience of some annotators. By tightly …
to the various sources of training data and the inexperience of some annotators. By tightly …
" Are we all in the same boat?" Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work
ECS de Groot, U Gadiraju - Proceedings of the CHI Conference on …, 2024 - dl.acm.org
Human intelligence continues to be essential in building ground-truth data, training sets, and
for evaluating a plethora of systems. The democratized and distributed nature of online …
for evaluating a plethora of systems. The democratized and distributed nature of online …
DynamicLabels: Supporting Informed Construction of Machine Learning Label Sets with Crowd Feedback
Label set construction—deciding on a group of distinct labels—is an essential stage in
building a supervised machine learning (ML) application, as a badly designed label set …
building a supervised machine learning (ML) application, as a badly designed label set …
基于可视分析的训练数据质量提升综述
杨维铠， 陈长建， 朱江宁， 李磊， 刘鹏， 刘世霞 - 计算机辅助设计与图形学 …, 2023 - jcad.cn
在机器学习应用中, 由于数据来源渠道多以及部分标注者水平不足, 训练数据质量很难得到保证.
通过深度结合机器学习和可视化技术, 可视分析技术将人融入数据质量分析与提升回路中 …
通过深度结合机器学习和可视化技术, 可视分析技术将人融入数据质量分析与提升回路中 …