首页|Recent Findings in Machine Learning Described by Researchers from Department of CSE (Saliency Guided Debiasing: Detecting and Mitigating Biases In Lms Using Feature Attribution)

Recent Findings in Machine Learning Described by Researchers from Department of CSE (Saliency Guided Debiasing: Detecting and Mitigating Biases In Lms Using Feature Attribution)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating in Bihar, India, by NewsRx journalists, research stated, “The bias in machine learning models hasgained increasing attention in recent years, as these models can reflect and even amplify biases present inthe data used to train them. One approach to mitigating bias is identifying and down-weight features thatcontribute disproportionately to model predictions, which can be accomplished using saliency techniques.”

BiharIndiaAsiaCyborgsEmerging TechnologiesMachine LearningDepartment of CSE

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.1)