3 citations · 12 across the 7 of their papers we have counts for
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cs.LG2019★ 1 cited
Explicitly Bayesian Regularizations in Deep Learning
Xinjie Lan, Kenneth E. Barner
Generalization is essential for deep learning. In contrast to previous works claiming that Deep Neural Networks (DNNs) have an implicit regularization implemented by the stochastic…
cs.LG2019★ 1 cited
A Probabilistic Representation of Deep Learning
Xinjie Lan, Kenneth E. Barner
In this work, we introduce a novel probabilistic representation of deep learning, which provides an explicit explanation for the Deep Neural Networks (DNNs) in three aspects: (i) n…
cs.CV2019★ 3 cited
A synthetic dataset for deep learning
Xinjie Lan
In this paper, we propose a novel method for generating a synthetic dataset obeying Gaussian distribution. Compared to the commonly used benchmark datasets with unknown distributio…