2026
Coupled Training with Privileged Features and Unlabeled Data
ICML 2026poster
In many prediction problems, we have extra information during training (for example, measurements that are expensive or slow to collect) that will not be available when the model is deployed. A common strategy is to first train a model that uses all training information, then use its predictions on …