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Automating Artifact Detection in Video Games
ParmidaDavarmanesh, KuanhaoJiang, TingtingOu....
Published date-11/30/2020
In spite of advances in gaming hardware and software, gameplay is often tainted with graphics errors, glitches, and screen artifacts. This proof of concept study presents a machine learning approach …
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection
OndřejPražák, PavelPřibáň, StephenTaylor....
Published date-11/30/2020
In this paper, we describe our method for the detection of lexical semantic change, i.e., word sense changes over time. We examine semantic differences between specific words in two corpora, …
Doubly Stochastic Subspace Clustering
DerekLim, RenéVidal, BenjaminD.Haeffele....
Published date-11/30/2020
Clustering, ImageClustering
Many state-of-the-art subspace clustering methods follow a two-step process by first constructing an affinity matrix between data points and then applying spectral clustering to this affinity. Most of the research …
Language-Driven Region Pointer Advancement for Controllable Image Captioning
AnnikaLindh, RobertJ.Ross, JohnD.Kelleher....
Published date-11/30/2020
ImageCaptioning
Controllable Image Captioning is a recent sub-field in the multi-modal task of Image Captioning wherein constraints are placed on which regions in an image should be described in the generated …
Graph convolutions that can finally model local structure
RémyBrossard, OrielFrigo, DavidDehaene....
Published date-11/30/2020
Despite quick progress in the last few years, recent studies have shown that modern graph neural networks can still fail at very simple tasks, like detecting small cycles. This hints …
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics
RaghavKansal, JavierDuarte, BrenoOrzari....
Published date-11/30/2020
We develop a graph generative adversarial network to generate sparse data sets like those produced at the CERN Large Hadron Collider (LHC). We demonstrate this approach by training on and …