6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 6 cited
Deep Low-Density Separation for Semi-Supervised Classification
Michael C. Burkhart, Kyle Shan
Given a small set of labeled data and a large set of unlabeled data, semi-supervised learning (SSL) attempts to leverage the location of the unlabeled datapoints in order to create…
cs.CE2022
Performance portable ice-sheet modeling with MALI
Jerry Watkins, Max Carlson, Kyle Shan +6
High resolution simulations of polar ice-sheets play a crucial role in the ongoing effort to develop more accurate and reliable Earth-system models for probabilistic sea-level proj…