16 citations · 31 across the 9 of their papers we have counts for
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cs.CV2022
EiHi Net: Out-of-Distribution Generalization Paradigm
Qinglai Wei, Beiming Yuan, Diancheng Chen
This paper develops a new EiHi net to solve the out-of-distribution (OoD) generalization problem in deep learning. EiHi net is a model learning paradigm that can be blessed on any…
cs.CV2022★ 5 cited
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization
Qi Wei, Haoliang Sun, Xiankai Lu +1
Sample selection is an effective strategy to mitigate the effect of label noise in robust learning. Typical strategies commonly apply the small-loss criterion to identify clean sam…
cs.LG2022★ 1 cited
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique
Andrew Baumgartner, Sevda Molani, Qi Wei +1
We present a simple yet novel time series imputation technique with the goal of constructing an irregular time series that is uniform across every sample in a data set. Specificall…