Code Red: The Business Impact of Code Quality – A Quantitative Study of 39 Proprietary Production Codebases Adam Tornhill CodeScene Malmö, Sweden adam.tornhill@codescene.com Markus Borg RISE Research Institutes of Sweden Lund University Lund, Sweden markus.borg@ri.se ABSTRACT Code quality remains an abstract concept that fails to get traction at the business level. Consequently, software companies
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat melvinp,schuster,qvl,krikun,yonghui,zhifengc,nsthorat@google.com Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean Abstract We propose a simple, elegant solution to use a single Neural Ma
Online Latent Dirichlet Allocation with Infinite Vocabulary Ke Zhai zhaike@cs.umd.edu Department of Computer Science, University of Maryland, College Park, MD USA Jordan Boyd-Graber jbg@umiacs.umd.edu iSchool and UMIACS, University of Maryland, College Park, MD USA Abstract Topic models based on latent Dirichlet alloca- tion (LDA) assume a predefined vocabulary. This is reasonable in batch setting
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades Xinran He1 XINRANHE@USC.EDU Theodoros Rekatsinas2 THODREK@CS.UMD.EDU James Foulds3 JFOULDS@UCSC.EDU Lise Getoor3 GETOOR@SOE.UCSC.EDU Yan Liu1 YANLIU.CS@USC.EDU 1 University of Southern California, 2 University of Maryland, College Park, 3 University of California, Santa Cruz Abstract Understanding the diff
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