Learning Recourse on Instance Environment to Enhance Prediction Accuracy Lokesh Nagalapatti Guntakanti Sai Koushik Abir De Sunita Sarawagi Department of Computer Science and Engineering IIT Bombay

Neural Information Processing Systems 

The performance of any supervised learning model depends strongly on the quality of input instances.