64 citations · 142 across the 15 of their papers we have counts for
3 papers · 1 filter
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael, Walter J. Scheirer
Surging interest in deep learning from high-stakes domains has precipitated concern over the inscrutable nature of black box neural networks. Explainable AI (XAI) research has led…
Pixel-Grounded Prototypical Part Networks
Zachariah Carmichael, Suhas Lohit, Anoop Cherian +2
Prototypical part neural networks (ProtoPartNNs), namely PROTOPNET and its derivatives, are an intrinsically interpretable approach to machine learning. Their prototype learning sc…
HomOpt: A Homotopy-Based Hyperparameter Optimization Method
Sophia J. Abraham, Kehelwala D. G. Maduranga, Jeffery Kinnison +3
Machine learning has achieved remarkable success over the past couple of decades, often attributed to a combination of algorithmic innovations and the availability of high-quality…