523 citations · 1.4k across the 23 of their papers we have counts for
3 papers · 1 filter
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images
Katy Blumer, Subhashini Venugopalan, Michael P. Brenner +1
We analyze a dataset of retinal images using linear probes: linear regression models trained on some "target" task, using embeddings from a deep convolutional (CNN) model trained o…
Scaling Symbolic Methods using Gradients for Neural Model Explanation
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li +2
Symbolic techniques based on Satisfiability Modulo Theory (SMT) solvers have been proposed for analyzing and verifying neural network properties, but their usage has been fairly li…
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets
Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel Yang +10
Confounding variables are a well known source of nuisance in biomedical studies. They present an even greater challenge when we combine them with black-box machine learning techniq…