15 citations · 17 across the 3 of their papers we have counts for
3 papers
q-bio.GN2020
Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology
Babak Alipanahi, Farhad Hormozdiari, Babak Behsaz +10
Genome-wide association studies (GWAS) require accurate cohort phenotyping, but expert labeling can be costly, time-intensive, and variable. Here we develop a machine learning (ML)…
cs.LG2019★ 15 cited
The Search for Sparse, Robust Neural Networks
Justin Cosentino, Federico Zaiter, Dan Pei +1
Recent work on deep neural network pruning has shown there exist sparse subnetworks that achieve equal or improved accuracy, training time, and loss using fewer network parameters…
cs.LG2019★ 2 cited
Generative Well-intentioned Networks
Justin Cosentino, Jun Zhu
We propose Generative Well-intentioned Networks (GWINs), a novel framework for increasing the accuracy of certainty-based, closed-world classifiers. A conditional generative networ…