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Found 4 papers, 2 papers with code
Transfer Learning with Deep Tabular Models
In this work, we demonstrate that upstream data gives tabular neural networks a decisive advantage over widely used GBDT models.
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability
We find that samples which cause similar parameters to malfunction are semantically similar.
Echo Chambers in Collaborative Filtering Based Recommendation Systems
Recommendation systems underpin the serving of nearly all online content in the modern age.
A Proof of Principle: Multi-Modality Radiotherapy Optimization
In this paper, we propose a mathematical framework to optimize full radiation dose distributions and fractionation schedules of multiple radiation modalities, aiming to maximize the damage to the tumor while limiting the damage to the normal tissue to the corresponding tolerance level.
Optimization and Control Medical Physics
