160 citations · 659 across the 33 of their papers we have counts for
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cs.LG2018★ 6 cited
MixUp as Locally Linear Out-Of-Manifold Regularization
Hongyu Guo, Yongyi Mao, Richong Zhang
MixUp is a recently proposed data-augmentation scheme, which linearly interpolates a random pair of training examples and correspondingly the one-hot representations of their label…
cs.LG2018
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization
Hongyu Guo, Yongyi Mao, Ali Al-Bashabsheh +1
Based on the notion of information bottleneck (IB), we formulate a quantization problem called "IB quantization". We show that IB quantization is equivalent to learning based on th…