most citedTowards Training Reproducible Deep Learning Models

47 citations · 127 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GT2022

An Empirical Study of Delayed Games on Steam

Balreet Grewal, Dayi Lin, Lars Doucet +1

The gaming industry is rapidly expanding. With over 2.7 billion players worldwide, game development has become increasingly challenging. To meet the ever-changing demands and expec…

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.SE202124 cited

An Empirical Study of the Characteristics of Popular Minecraft Mods

Daniel Lee, Gopi Krishnan Rajbahadur, Dayi Lin +3

It is becoming increasingly difficult for game developers to manage the cost of developing a game, while meeting the high expectations of gamers. One way to balance the increasing…

cs.SE202127 cited

Building the perfect game -- an empirical study of game modifications

Daniel Lee, Dayi Lin, Cor-Paul Bezemer +1

Game developers cannot always meet the growing and changing needs of the gaming community, due to the often already overloaded schedules of developers. So-called modders can potent…