170 citations · 335 across the 8 of their papers we have counts for
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cs.LG2020★ 7 cited
When Do Curricula Work?
Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur
Inspired by human learning, researchers have proposed ordering examples during training based on their difficulty. Both curriculum learning, exposing a network to easier examples e…
stat.ML2020★ 11 cited
Choosing the Sample with Lowest Loss makes SGD Robust
Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi
The presence of outliers can potentially significantly skew the parameters of machine learning models trained via stochastic gradient descent (SGD). In this paper we propose a simp…