Training a machine learning model with multiple tasks can create more-useful representations and achieve better performance than training models for each task separately. In this Perspective, Allenspach et al. summarize and compare multi-task learning methods for computer-aided drug design.
- Stephan Allenspach
- Jan A. Hiss
- Gisbert Schneider
