activity
20182021
most citedThe Search for Sparse, Robust Neural Networks

15 citations · 45 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE20211 cited

DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution

Mingjie Li, Xiaoying Bai, Minghua Ma +1

Continuous Integration (CI) and Continuous Deployment (CD) are widely adopted in software engineering practice. In reality, the CI/CD pipeline execution is not yet reliably continu…

cs.SE20209 cited

Summarizing Unstructured Logs in Online Services

Weibin Meng, Federico Zaiter, Yuheng Huang +10

Logs are one of the most valuable data sources for managing large-scale online services. After a failure is detected/diagnosed/predicted, operators still have to inspect the raw lo…

cs.LG201915 cited

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…

cs.LG20199 cited

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…

cs.IR201911 cited

Personalized Re-ranking for Recommendation

Changhua Pei, Yi Zhang, Yongfeng Zhang +6

Ranking is a core task in recommender systems, which aims at providing an ordered list of items to users. Typically, a ranking function is learned from the labeled dataset to optim…

cs.LG2018

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…