5 citations · 5 across the 3 of their papers we have counts for
1 paper · 1 filter
Ishan Jindal, Daniel Pressel, Brian Lester +1
Because large, human-annotated datasets suffer from labeling errors, it is crucial to be able to train deep neural networks in the presence of label noise. While training image cla…