109 citations · 201 across the 8 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2020★ 1 cited
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations?
Filipe R. Cordeiro, Gustavo Carneiro
Noisy Labels are commonly present in data sets automatically collected from the internet, mislabeled by non-specialist annotators, or even specialists in a challenging task, such a…
cs.LG2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis +2
The efficacy of deep learning depends on large-scale data sets that have been carefully curated with reliable data acquisition and annotation processes. However, acquiring such lar…