135 citations · 298 across the 23 of their papers we have counts for
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cs.LG2021
INN: A Method Identifying Clean-annotated Samples via Consistency Effect in Deep Neural Networks
Dongha Kim, Yongchan Choi, Kunwoong Kim +1
In many classification problems, collecting massive clean-annotated data is not easy, and thus a lot of researches have been done to handle data with noisy labels. Most recent stat…
stat.ML2021★ 13 cited
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models
Minwoo Chae, Dongha Kim, Yongdai Kim +1
We investigate statistical properties of a likelihood approach to nonparametric estimation of a singular distribution using deep generative models. More specifically, a deep genera…