8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
Michael Tashman, John Hoffman, Jiayi Xie +4
Reinforcement learning (RL) is an effective technique for training decision-making agents through interactions with their environment. The advent of deep learning has been associat…
cs.CV2021★ 8 cited
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
Yunpeng Gong, Zhiyong Zeng, Liwen Chen +3
The security of the Person Re-identification(ReID) model plays a decisive role in the application of ReID. However, deep neural networks have been shown to be vulnerable, and addin…
cs.LG2020★ 1 cited
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications
Rong Zhu, Andreas Pfadler, Ziniu Wu +6
Structure Learning for Bayesian network (BN) is an important problem with extensive research. It plays central roles in a wide variety of applications in Alibaba Group. However, ex…