16 citations · 38 across the 12 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.IR2018★ 3 cited
Wasserstein Autoencoders for Collaborative Filtering
Jingbin Zhong, Xiaofeng Zhang
The recommender systems have long been investigated in the literature. Recently, users' implicit feedback like `click' or `browse' are considered to be able to enhance the recommen…
cs.LG2018★ 4 cited
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples
Dan Peng, Zizhan Zheng, Xiaofeng Zhang
Adversarial examples are perturbed inputs designed to fool machine learning models. Most recent works on adversarial examples for image classification focus on directly modifying p…