11 citations · 11 across the 3 of their papers we have counts for
3 papers · 1 filter
Measuring and Mitigating Local Instability in Deep Neural Networks
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu +4
Deep Neural Networks (DNNs) are becoming integral components of real world services relied upon by millions of users. Unfortunately, architects of these systems can find it difficu…
Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations
Arghya Datta, S. Joshua Swamidass
In real world datasets, particular groups are under-represented, much rarer than others, and machine learning classifiers will often preform worse on under-represented populations.…
Deep learning long-range information in undirected graphs with wave networks
Matthew K. Matlock, Arghya Datta, Na Le Dang +2
Graph algorithms are key tools in many fields of science and technology. Some of these algorithms depend on propagating information between distant nodes in a graph. Recently, ther…