2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks
Sree Ram Kamabattula, Kumudha Musini, Babak Namazi +2
Training Deep neural networks (DNNs) on noisy labeled datasets is a challenging problem, because learning on mislabeled examples deteriorates the performance of the network. As the…
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…