86 citations · 120 across the 18 of their papers we have counts for
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cs.LG2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
Bing Yu, Jingfeng Wu, Jinwen Ma +1
Compared with standard supervised learning, the key difficulty in semi-supervised learning is how to make full use of the unlabeled data. A recently proposed method, virtual advers…
stat.ML2018★ 86 cited
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
Zhanxing Zhu, Jingfeng Wu, Bing Yu +2
Understanding the behavior of stochastic gradient descent (SGD) in the context of deep neural networks has raised lots of concerns recently. Along this line, we study a general for…