272 citations · 338 across the 14 of their papers we have counts for
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cs.LG2018
Adversarial Metric Learning
Shuo Chen, Chen Gong, Jian Yang +3
In the past decades, intensive efforts have been put to design various loss functions and metric forms for metric learning problem. These improvements have shown promising results…
cs.LG2018★ 39 cited
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li, Shuo Chen, Xiaolin Hu +1
This paper first answers the question "why do the two most powerful techniques Dropout and Batch Normalization (BN) often lead to a worse performance when they are combined togethe…