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Sara Sangalli

2 accepted papers

2023

Expert load matters: operating networks at high accuracy and low manual effort

NeurIPS 2023poster

In human-AI collaboration systems for critical applications, in order to ensure minimal error, users should set an operating point based on model confidence to determine when the decision should be delegated to human experts. Samples for which model confidence is lower than the operating point woul…

Cited by 3SourcePDFScholar
2021

Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes

NeurIPS 2021poster

Deep neural networks (DNNs) are notorious for making more mistakes for the classes that have substantially fewer samples than the others during training. Such class imbalance is ubiquitous in clinical applications and very crucial to handle because the classes with fewer samples most often correspon…