145 citations · 424 across the 41 of their papers we have counts for
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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…
Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process
Peiyuan Suny, Jianxin Li, Yongyi Mao +2
Understanding the diffusion in social network is an important task. However, this task is challenging since (1) the network structure is usually hidden with only observations of ev…
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…