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cs.LG2021★ 3 cited
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
Negin Majidi, Ehsan Amid, Hossein Talebi +1
Many learning tasks in machine learning can be viewed as taking a gradient step towards minimizing the average loss of a batch of examples in each training iteration. When noise is…
cs.LG2016★ 8 cited
Semi-supervised Kernel Metric Learning Using Relative Comparisons
Ehsan Amid, Aristides Gionis, Antti Ukkonen
We consider the problem of metric learning subject to a set of constraints on relative-distance comparisons between the data items. Such constraints are meant to reflect side-infor…