most citedTowards Training Reproducible Deep Learning Models

47 citations · 90 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC20222 cited

Has Your FaaS Application Been Decommissioned Yet? -- A Case Study on the Idle Timeout in Function as a Service Infrastructure

Kim Long Ngo, Joydeep Mukherjee, Zhen Ming Jiang +1

Function as a Service (FaaS) is a new cloud technology with automated resource management. Different from traditional cloud computing, each FaaS cloud function can only run a fixed…

cs.SE202212 cited

Towards Build Verifiability for Java-based Systems

Jiawen Xiong, Yong Shi, Boyuan Chen +3

Build verifiability refers to the property that the build of a software system can be verified by independent third parties and it is crucial for the trustworthiness of a software…

cs.LG202247 cited

Towards Training Reproducible Deep Learning Models

Boyuan Chen, Mingzhi Wen, Yong Shi +4

Reproducibility is an increasing concern in Artificial Intelligence (AI), particularly in the area of Deep Learning (DL). Being able to reproduce DL models is crucial for AI-based…

cs.LG202229 cited

Towards a consistent interpretation of AIOps models

Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin +3

Artificial Intelligence for IT Operations (AIOps) has been adopted in organizations in various tasks, including interpreting models to identify indicators of service failures. To a…

cs.SE2019

An Exploratory Study on Machine Learning Model Stores

Minke Xiu, Zhen Ming, Jiang +1

Recent advances in Artificial Intelligence, especially in Machine Learning (ML), have brought applications previously considered as science fiction (e.g., virtual personal assistan…