Nov. 5, 2023, 12:30 a.m. | Dhanshree Shripad Shenwai

MarkTechPost www.marktechpost.com

Data collecting might be a prime opportunity for the unintended introduction of texture biases. When a model is trained on biased data and then applied to out-of-distribution data, the performance often drops dramatically since the source and nature of the biases need to be clarified. The literature is rich with research aimed at reducing or […]


The post This Machine Learning Research Develops an AI Model for Effectively Removing Biases in a Dataset appeared first on MarkTechPost.

ai model ai shorts applications artificial intelligence biased data biases data dataset distribution editors pick introduction language model machine machine learning nature performance prime research staff tech news technology

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Intern Large Language Models Planning (f/m/x)

@ BMW Group | Munich, DE

Data Engineer Analytics

@ Meta | Menlo Park, CA | Remote, US