A hierarchical cross-entropy loss is presented, which incorporates ontology structure into training and improves the out-of-distribution performance of large-scale single-cell annotation models without additional computational cost.
- Sebastiano Cultrera di Montesano
- Davide D’Ascenzo
- Lorin Crawford
