55 citations · 105 across the 6 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2019
Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
Learning exists in the context of data, yet notions of confidence typically focus on model predictions, not label quality. Confident learning (CL) is an alternative approach which…
stat.ML2017★ 55 cited
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang
Noisy PN learning is the problem of binary classification when training examples may be mislabeled (flipped) uniformly with noise rate rho1 for positive examples and rho0 for negat…