15 citations · 46 across the 6 of their papers we have counts for
4 papers · 1 filter
DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models
Wenxiao Chen, Xiaohui Nie, Mingliang Li +1
To ensure robust and reliable classification results, OoD (out-of-distribution) indicators based on deep generative models are proposed recently and are shown to work well on small…
The Search for Sparse, Robust Neural Networks
Justin Cosentino, Federico Zaiter, Dan Pei +1
Recent work on deep neural network pruning has shown there exist sparse subnetworks that achieve equal or improved accuracy, training time, and loss using fewer network parameters…
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder
Haowen Xu, Wenxiao Chen, Jinlin Lai +3
Using powerful posterior distributions is a popular approach to achieving better variational inference. However, recent works showed that the aggregated posterior may fail to match…
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Haowen Xu, Wenxiao Chen, Nengwen Zhao +10
To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e.g., Page Views, number of online users, and number of orders) of its Web applicatio…