Artificial Intelligence with
Biased or Scarce Data

(AIBSD)

In Conjunction with Computer Vision, Machine Learning, and Artificial Intelligence Conferences

About AIBSD

About AIBSD

With recent surge in data-driven methods, the issues of biased and scarce data is quickly becoming a major roadblock in developing generalizable and scalable artificial intelligence solutions, as well as effective deployment of these solutions in real-world scenarios. To address these challenges, researchers from both academia and industry must come together and make advancements in fundamental research and applied technologies. The organizing committee, program committee, and keynote speakers of AIBSD consist of experts from both academia and industry with rich experiences in designing and developing robust computer vision (CV), machine learning (ML) and artificial intelligence (AI) algorithms and transitioning these technologies into real-world solutions. AIBSD provides a unique platform for researchers to better understand and tackle the biased and scarce data problems in CV, ML, and AI.

AIBSD Series

In Conjunction with the Following Conferences