4 citations · 6 across the 2 of their papers we have counts for
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cs.LG2021★ 2 cited
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Boyang Liu, Mengying Sun, Ding Wang +2
Training deep neural models in the presence of corrupted supervision is challenging as the corrupted data points may significantly impact the generalization performance. To allevia…
cs.LG2019★ 4 cited
Spatially Constrained Spectral Clustering Algorithms for Region Delineation
Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil +2
Regionalization is the task of dividing up a landscape into homogeneous patches with similar properties. Although this task has a wide range of applications, it has two notable cha…