Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach

no code implementations • 22 Apr 2019 • Ki Hyun Tae, Yuji Roh, Young Hun Oh, Hyunsu Kim, Steven Euijong Whang

As machine learning is used in sensitive applications, it becomes imperative that the trained model is accurate, fair, and robust to attacks.

BIG-bench Machine Learning Fairness +1