2026
The Tutor-Pupil Augmentation: Enhancing Learning and Interpretability via Input Corrections
ICLR 2026poster
State-of-the-art machine learning models often incorporate prior knowledge or structural information about the task or data distribution. In some tasks, such knowledge may arise from first principles or emerge as simplified, learned functions that distill essential aspects of the data distribution.…