most citedIdentifying Training Stop Point with Noisy Labeled Data

2 citations

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2 papers

cs.LG2020★ 2 cited

Identifying Training Stop Point with Noisy Labeled Data

Sree Ram Kamabattula, Venkat Devarajan, Babak Namazi +1

Training deep neural networks (DNNs) with noisy labels is a challenging problem due to over-parameterization. DNNs tend to essentially fit on clean samples at a higher rate in the…

physics.med-ph2015★ 1 cited

Models of CT dose profiles in Banach space; with applications to CT Dosimetry

Victor J. Weir

This paper consists of two parts.In the first part, the scatter components of computed tomograpahy dose profiles are modeled using various functions including the solution to Ricca…