177 citations · 185 across the 4 of their papers we have counts for
4 papers
Fair treatment allocations in social networks
James Atwood, Hansa Srinivasan, Yoni Halpern +1
Simulations of infectious disease spread have long been used to understand how epidemics evolve and how to effectively treat them. However, comparatively little attention has been…
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity
Alexey A. Gritsenko, Alex D'Amour, James Atwood +2
We introduce the BriarPatch, a pixel-space intervention that obscures sensitive attributes from representations encoded in pre-trained classifiers. The patches encourage internal m…
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
Shreya Shankar, Yoni Halpern, Eric Breck +3
Modern machine learning systems such as image classifiers rely heavily on large scale data sets for training. Such data sets are costly to create, thus in practice a small number o…
Sparse Diffusion-Convolutional Neural Networks
James Atwood, Siddharth Pal, Don Towsley +1
The predictive power and overall computational efficiency of Diffusion-convolutional neural networks make them an attractive choice for node classification tasks. However, a naive…