430 citations · 764 across the 14 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
stat.ML2018★ 67 cited
Amortized Inference Regularization
Rui Shu, Hung H. Bui, Shengjia Zhao +2
The variational autoencoder (VAE) is a popular model for density estimation and representation learning. Canonically, the variational principle suggests to prefer an expressive inf…
cs.LG2018★ 123 cited
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song, Rui Shu, Nate Kushman +1
Adversarial examples are typically constructed by perturbing an existing data point within a small matrix norm, and current defense methods are focused on guarding against this typ…
stat.ML2018★ 430 cited
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu, Hung H. Bui, Hirokazu Narui +1
Domain adaptation refers to the problem of leveraging labeled data in a source domain to learn an accurate model in a target domain where labels are scarce or unavailable. A recent…