Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices.
Vincent S. Chen, Sen Wu, Zhenzhen Weng, Alexander Ratner, Cristina Re · PubMed · 2019
predictions. We show that our approach maintains a parameter-efficient representation while improving over baselines by up to 19.0 F1 on slices and 4.6 F1 overall on datasets spanning language understanding (e.g. SuperGLUE), computer vision, and production-scale industrial systems.