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cs.LG2025
Synthetic Data Reveals Generalization Gaps in Correlated Multiple Instance Learning
Ethan Harvey, Dennis Johan Loevlie, Michael C. Hughes
Multiple instance learning (MIL) is often used in medical imaging to classify high-resolution 2D images by processing patches or classify 3D volumes by processing slices. However,…
cs.LG2025
Learning Hyperparameters via a Data-Emphasized Variational Objective
Ethan Harvey, Mikhail Petrov, Michael C. Hughes
When training large models on limited data, avoiding overfitting is paramount. Common grid search or smarter search methods rely on expensive separate runs for each candidate hyper…